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RonPub -- Research Online Publishing

RonPub (Research online Publishing) is an academic publisher of online, open access, peer-reviewed journals.  RonPub aims to provide a platform for researchers, developers, educators, and technical managers to share and exchange their research results worldwide.

RonPub is open access:

RonPub publishes all of its journals under the open access model, defined under BudapestBerlin, and Bethesda open access declarations:

  • All articles published by RonPub is fully open access and online available to readers free of charge.  
  • All open access articles are distributed under  Creative Commons Attribution License,  which permits unrestricted use, distribution and reproduction free of charge in any medium, provided that the original work is properly cited. 
  • Authors retain all copyright to their work.
  • Authors may also publish the publisher's version of their paper on any repository or website. 

RonPub is cost-effective:

To be able to provide open access journals, RonPub defray publishing cost by charging an one-time publication fee for each accepted article. One of RonPub objectives is providing a fast and high-quality but lower-cost publishing service. In order to ensure that the fee is never a barrier to publication, RonPub offers a fee waiver for authors who do not have funds to cover publication fees. We also offer a partial fee waiver for editors and reviewers of RonPub as as reward for their work. See the respective Journal webpage for the concrete publication fee.

RonPub Publication Ethics Statement:

In order to ensure the publishing quality and the reputation of the publisher, it is important that all parties involved in the act of publishing adhere to the standards of the publishing ethical behaviour. To verify the originality of submissions, we use Plagiarism Detection Tools, like Anti-Plagiarism, PaperRater, Viper, to check the content of manuscripts submitted to our journals against previous publications.

RonPub follows the Code of Conduct of the Committee on Publication Ethics (COPE), and deals with the cases of misconduct according to the COPE Flowcharts

Where is RonPub?

RonPub is a registered corporation in Lübeck, Germany. Lübeck is a beautiful harbour city, 60 kilometer away from Hamburg.

OJCC Cover
Open Journal of Cloud Computing (OJCC)
OJCC, an open access and peer-reviewed online journal, publishes original and creative research results on cloud computing. OJCC distributes its articles under the open access model. All articles of OJCC are fully open access and online available to readers free of charge. There is no restriction on the length of the papers. Accepted manuscripts are published online immediately.
Publisher: RonPub UG (haftungsbeschränkt), Lübeck, Germany
Contact: OJCC Editorial Office
ISSN: 2199-1987
Call for Papers: txtUTF-8 txtASCII pdf
OJCC Cover
Open Journal of Cloud Computing (OJCC)
OJCC, an open access and peer-reviewed online journal, publishes original and creative research results on cloud computing. OJCC distributes its articles under the open access model. All articles of OJCC are fully open access and online available to readers free of charge. There is no restriction on the length of the papers. Accepted manuscripts are published online immediately.
Publisher: RonPub UG (haftungsbeschränkt), Lübeck, Germany
Contact: OJCC Editorial Office
ISSN: 2199-1987
Call for Papers: txtUTF-8 txtASCII pdf

Aims & Scope

In cloud scenarios, computing and storage resources are typically hidden from the user. Dependant on the demand of the resources of a user's application, different amount of resources can be used from a large pool of resources, which is shared between many users. Scalable applications are required, which can deal with the different amount of resources. The business model of cloud computing is often pay-per-use: You pay what you are using.

OJCC publishes regular research papers, short communications, reviews and visionary papers in all aspects of cloud technologies. There is no restriction on the length of the papers. 

Regular research papers are full original findings with sufficient experimental research. They make substantial theoretical and empirical contributions to the research field. Research papers should be written as concise as possible.

Short communications report novel research ideas. The work represented should be technically sound and significantly advancing the state of the art. Short communications also include exploratory studies and methodological articles.

Research reviews are insightful and accessible overview of a certain field of research. They conceptualize research issues, synthesize existing findings and advance the understanding of the field. They may also suggest new research issues and directions.

Visionary papers identify new research issues and future research directions, and describe new research visions in the field. The new visions will potentially have great impact for the future society and daily life. 

This journal deals with all the aspects of cloud computing and technologies. We except original and high quality submissions related (but not limited) to the following topics:

  • Hadoop
  • distributed file systems like HDFS
  • programming environments such as MapReduce
  • Big Data and clouds
  • public/private/hybrid/community cloud
  • cloud databases
  • cloud infrastructures
  • cloud scenarios
  • cloud applications
  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Sevice (SaaS)
  • scalable on-demand services
  • virtualization of resources
  • business models

Author Guidelines

Publication Criteria

Publication Criteria provides important information for authors to prepare their manuscripts with a high possibility of being accepted.

Manuscript Preparation

Please prepare your manuscripts using the manuscript template of the journal. It is available for download as word doc docx and latex version zip. The template describes the format and structure of manuscripts and other necessary information for preparing manuscripts. Manuscripts should be written in English. There is no restriction on the length of manuscripts.

Submission

Authors submit their manuscripts following the information on the submit pageAuthors first submit their manuscripts in PDF format. Once a manuscript is accepted, the author then submits the revised manuscript as a PDF file and a word file or latex folder (with all the material necessary to generate the PDF file). The work described in the submitted manuscript must be previously unpublished; it is not under consideration for publication anywhere else. 

Authors are welcome to suggest qualified reviewers for their papers, but this is not mandatory. If the author wants to do so, please provide the name, affiliations and e-mail addresses for all suggested reviewers.

Manuscript Status

After submission of manuscripts, authors will receive an email to confirm receipt of manuscripts. Subsequent enquiries concerning paper progress should be sent to the email address of the journal.

Review Procedure

RonPub is committed to enforcing a rigorous peer-review process. All manuscripts submitted for publication in RonPub journals are strictly and thoroughly peer-reviewed. Our editorial offices will organize the peer-reviewing and collect three review reports per manuscript. The editorial board will make an accept/revision/reject decision based on the reports of reviewers. Authors will be informed with the decision and reviewing results within 6-8 weeks after the manuscript submission. Authors should perform an adequate revision to address the concerns from reviewers. A second round of peer-review will be performed if necessary.

Accepted manuscripts are published online immediately.

Copyrights

Authors publishing with RonPub open journals retain the copyright to their work. 

All articles published by RonPub is fully open access and online available to readers free of charge.  RonPub publishes all open access articles under the Creative Commons Attribution License,  which permits unrestricted use, distribution and reproduction freely, provided that the original work is properly cited.

Articles of OJCC

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 Open Access 

Definition and Categorization of Dew Computing

Yingwei Wang

Open Journal of Cloud Computing (OJCC), 3(1), Pages 1-7, 2016, Downloads: 1681

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194546 | GNL-LP: 1132360781 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Dew computing is an emerging new research area and has great potentials in applications. In this paper, we propose a revised definition of dew computing. The new definition is: Dew computing is an on-premises computer software-hardware organization paradigm in the cloud computing environment where the on-premises computer provides functionality that is independent of cloud services and is also collaborative with cloud services. The goal of dew computing is to fully realize the potentials of on-premises computers and cloud services. This definition emphasizes two key features of dew computing: independence and collaboration. Furthermore, we propose a group of dew computing categories. These categories may inspire new applications.

BibTex:

    @Article{OJCC_2016v3i1n02_YingweiWang,
        title     = {Definition and Categorization of Dew Computing},
        author    = {Yingwei Wang},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2016},
        volume    = {3},
        number    = {1},
        pages     = {1--7},
        url       = {https://www.ronpub.com/OJCC_2016v3i1n02_YingweiWang.pdf},
        urn       = {urn:nbn:de:101:1-201705194546},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Dew computing is an emerging new research area and has great potentials in applications. In this paper, we propose a revised definition of dew computing. The new definition is: Dew computing is an on-premises computer software-hardware organization paradigm in the cloud computing environment where the on-premises computer provides functionality that is independent of cloud services and is also collaborative with cloud services. The goal of dew computing is to fully realize the potentials of on-premises computers and cloud services. This definition emphasizes two key features of dew computing: independence and collaboration. Furthermore, we propose a group of dew computing categories. These categories may inspire new applications.}
    }

 Open Access 

Doing More with the Dew: A New Approach to Cloud-Dew Architecture

David Edward Fisher, Shuhui Yang

Open Journal of Cloud Computing (OJCC), 3(1), Pages 8-19, 2016, Downloads: 1610

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194535 | GNL-LP: 1132360773 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: While the popularity of cloud computing is exploding, a new network computing paradigm is just beginning. In this paper, we examine this exciting area of research known as dew computing and propose a new design of cloud-dew architecture. Instead of hosting only one dew server on a user's PC - as adopted in the current dewsite application - our design promotes the hosting of multiple dew servers instead, one for each installed domain. Our design intends to improve upon existing cloud-dew architecture by providing significantly increased freedom in dewsite development, while also automating the chore of managing dewsite content based on the user's interests and browsing habits. Other noteworthy benefits, all at no added cost to dewsite users, are briefly explored as well.

BibTex:

    @Article{OJCC_2016v3i1n02_Fisher,
        title     = {Doing More with the Dew: A New Approach to Cloud-Dew Architecture},
        author    = {David Edward Fisher and
                     Shuhui Yang},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2016},
        volume    = {3},
        number    = {1},
        pages     = {8--19},
        url       = {https://www.ronpub.com/OJCC_2016v3i1n02_Fisher.pdf},
        urn       = {urn:nbn:de:101:1-201705194535},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {While the popularity of cloud computing is exploding, a new network computing paradigm is just beginning. In this paper, we examine this exciting area of research known as dew computing and propose a new design of cloud-dew architecture. Instead of hosting only one dew server on a user's PC - as adopted in the current dewsite application - our design promotes the hosting of multiple dew servers instead, one for each installed domain. Our design intends to improve upon existing cloud-dew architecture by providing significantly increased freedom in dewsite development, while also automating the chore of managing dewsite content based on the user's interests and browsing habits. Other noteworthy benefits, all at no added cost to dewsite users, are briefly explored as well.}
    }

 Open Access 

Advances in Cloud and Ubiquitous Computing

Sven Groppe, K. Chandrasekaran

Open Journal of Cloud Computing (OJCC), 2(2), Pages 1-3, 2015, Downloads: 1060

Full-Text: pdf | URN: urn:nbn:de:101:1-201704229173 | GNL-LP: 1130488268 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Cloud computing provides on-demand access to a shared pool of configurable and dynamically reallocated computing resources typically located in third-party data centers. Ubiquitous computing aims at providing computing resources anytime and everywhere by using any device, in any location, and in any format. This special issue, Advances in Cloud and Ubiquitous Computing (ACUC), aims at addressing the challenges and reporting the latest research findings in the fields of Cloud computing and Ubiquitous Computing respectively, and how new technologies of Cloud Computing and Ubiquitous Computing complete each other.

BibTex:

    @Article{OJCC_2015v2i2n01e_Groppe,
        title     = {Advances in Cloud and Ubiquitous Computing},
        author    = {Sven Groppe and
                     K. Chandrasekaran},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2015},
        volume    = {2},
        number    = {2},
        pages     = {1--3},
        url       = {https://www.ronpub.com/OJCC_2015v2i2n01e_Groppe.pdf},
        urn       = {urn:nbn:de:101:1-201704229173},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Cloud computing provides on-demand access to a shared pool of configurable and dynamically reallocated computing resources typically located in third-party data centers. Ubiquitous computing aims at providing computing resources anytime and everywhere by using any device, in any location, and in any format. This special issue, Advances in Cloud and Ubiquitous Computing (ACUC), aims at addressing the challenges and reporting the latest research findings in the fields of Cloud computing and Ubiquitous Computing respectively, and how new technologies of Cloud Computing and Ubiquitous Computing complete each other.}
    }

 Open Access 

Cooperative Hybrid Cloud Intermediaries - Making Cloud Sourcing Feasible for Small and Medium-sized Enterprises

Till Haselmann, Gottfried Vossen, Stuart Dillon

Open Journal of Cloud Computing (OJCC), 2(2), Pages 4-20, 2015, Downloads: 807

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194494 | GNL-LP: 1132360714 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: "The cloud" is widely advertised as a silver bullet for many IT-related challenges of small and medium-sized enterprises (SMEs). While it can potentially have a number of attractive benefits, many SMEs refrain from using cloud sourcing and cloud services because of high upfront costs for building the appropriate knowledge in the enterprise, for searching and screening of possible cloud service providers, and for mastering the intricate legal issues related to outsourcing sensitive data. This paper presents the concept of hybrid cloud intermediaries, an approach that can address many of the prevailing issues. With the aid of empirical findings from a cross-nation study of cloud adoption in SMEs for context, we describe the concept in detail and show conceivable variants, including a comprehensive cross-perspective consolidated model of cloud intermediary value-creation. Subsequently, we analyze the benefits of such a hybrid cloud intermediary for addressing cloud adoption issues in SMEs, and suggest suitable governance structures based on the cooperative paradigm. The resulting entity - a cooperative hybrid cloud intermediary or, more concisely, co-op cloud - is discussed in detail showing both feasible scenarios and limitations for SMEs that would like to engage in a cloud-sourcing.

BibTex:

    @Article{OJCC_2015v2i2n02_Haselmann,
        title     = {Cooperative Hybrid Cloud Intermediaries - Making Cloud Sourcing Feasible for Small and Medium-sized Enterprises},
        author    = {Till Haselmann and
                     Gottfried Vossen and
                     Stuart Dillon},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2015},
        volume    = {2},
        number    = {2},
        pages     = {4--20},
        url       = {https://www.ronpub.com/OJCC_2015v2i2n02_Haselmann.pdf},
        urn       = {urn:nbn:de:101:1-201705194494},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {"The cloud" is widely advertised as a silver bullet for many IT-related challenges of small and medium-sized enterprises (SMEs). While it can potentially have a number of attractive benefits, many SMEs refrain from using cloud sourcing and cloud services because of high upfront costs for building the appropriate knowledge in the enterprise, for searching and screening of possible cloud service providers, and for mastering the intricate legal issues related to outsourcing sensitive data. This paper presents the concept of hybrid cloud intermediaries, an approach that can address many of the prevailing issues. With the aid of empirical findings from a cross-nation study of cloud adoption in SMEs for context, we describe the concept in detail and show conceivable variants, including a comprehensive cross-perspective consolidated model of cloud intermediary value-creation. Subsequently, we analyze the benefits of such a hybrid cloud intermediary for addressing cloud adoption issues in SMEs, and suggest suitable governance structures based on the cooperative paradigm. The resulting entity - a cooperative hybrid cloud intermediary or, more concisely, co-op cloud - is discussed in detail showing both feasible scenarios and limitations for SMEs that would like to engage in a cloud-sourcing.}
    }

 Open Access 

A Trust-Based Approach for Management of Dynamic QoS Violations in Cloud Federation Environments

Manoj V. Thomas, K. Chandrasekaran

Open Journal of Cloud Computing (OJCC), 2(2), Pages 21-43, 2015, Downloads: 915

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194523 | GNL-LP: 1132360765 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Cloud Federation is an emerging technology where Cloud Service Providers (CSPs) offering specialized services to customers collaborate in order to reap the real benefits of Cloud Computing. When a CSP in the Cloud Federation runs out of resources, it can get the required resources from other partners in the federation. Normally, there will be QoS agreements between the partners in the federation for the resource sharing. In this paper, we propose a trust based mechanism for the management of dynamic QoS violations, when one CSP requests resources from another CSP in the federation. In this work, we have implemented the partner selection process, when one CSP does not have enough resources, using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods, and also considering the trust values of various CSPs in the federation. We have also implemented the Single Sign-On (SSO) authentication in the cloud federation using the Fully Hashed Menezes-Qu-Vanstone (FHMQV) protocol and AES-256 algorithm. The proposed trust-based approach is used to dynamically manage the QoS violations among the partners in the federation. We have implemented the proposed approach using the CloudSim toolkit, and the analysis of the results are also given.

BibTex:

    @Article{OJCC_2015v2i2n03_Thomas,
        title     = {A Trust-Based Approach for Management of Dynamic QoS Violations in Cloud Federation Environments},
        author    = {Manoj V. Thomas and
                     K. Chandrasekaran},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2015},
        volume    = {2},
        number    = {2},
        pages     = {21--43},
        url       = {https://www.ronpub.com/OJCC_2015v2i2n03_Thomas.pdf},
        urn       = {urn:nbn:de:101:1-201705194523},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Cloud Federation is an emerging technology where Cloud Service Providers (CSPs) offering specialized services to customers collaborate in order to reap the real benefits of Cloud Computing. When a CSP in the Cloud Federation runs out of resources, it can get the required resources from other partners in the federation. Normally, there will be QoS agreements between the partners in the federation for the resource sharing. In this paper, we propose a trust based mechanism for the management of dynamic QoS violations, when one CSP requests resources from another CSP in the federation. In this work, we have implemented the partner selection process, when one CSP does not have enough resources, using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods, and also considering the trust values of various CSPs in the federation. We have also implemented the Single Sign-On (SSO) authentication in the cloud federation using the Fully Hashed Menezes-Qu-Vanstone (FHMQV) protocol and AES-256 algorithm. The proposed trust-based approach is used to dynamically manage the QoS violations among the partners in the federation. We have implemented the proposed approach using the CloudSim toolkit, and the analysis of the results are also given.}
    }

 Open Access 

Emerging Software as a Service and Analytics

Victor Chang, Robert John Walters, Gary B. Wills

Open Journal of Cloud Computing (OJCC), 2(1), Pages 1-3, 2015, Downloads: 1044

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194461 | GNL-LP: 1132360641 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: This special issue of Open Journal of Cloud Computing (OJCC) (www.ronpub.com/journals/ojcc) reports work in the field of emerging software as a service and analytics, and presents innovative approaches to delivering software services in research and enterprise communities. It contains extended versions of papers selected from the international workshop on Emerging Software as a Service and Analytices (ESaaSA) in association with the international conference on cloud computing and serviced science taken place in Barcelona, Spain during April 2014. OJCC is published by RonPub (www.ronpub.com), which is an academic publisher of online, open access, peer-reviewed journals.

BibTex:

    @Article{OJCC_2015v2i1n01e_Chang,
        title     = {Emerging Software as a Service and Analytics},
        author    = {Victor Chang and
                     Robert John Walters and
                     Gary B. Wills},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2015},
        volume    = {2},
        number    = {1},
        pages     = {1--3},
        url       = {https://www.ronpub.com/OJCC_2015v2i1n01e_Chang.pdf},
        urn       = {urn:nbn:de:101:1-201705194461},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This special issue of Open Journal of Cloud Computing (OJCC) (www.ronpub.com/journals/ojcc) reports work in the field of emerging software as a service and analytics, and presents innovative approaches to delivering software services in research and enterprise communities. It contains extended versions of papers selected from the international workshop on Emerging Software as a Service and Analytices (ESaaSA) in association with the international conference on cloud computing and serviced science taken place in Barcelona, Spain during April 2014. OJCC is published by RonPub (www.ronpub.com), which is an academic publisher of online, open access, peer-reviewed journals.}
    }

 Open Access 

An Analytical Model of Multi-Core Multi-Cluster Architecture (MCMCA)

Norhazlina Hamid, Robert John Walters, Gary B. Wills

Open Journal of Cloud Computing (OJCC), 2(1), Pages 4-15, 2015, Downloads: 1535

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194487 | GNL-LP: 1132360692 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Multi-core clusters have emerged as an important contribution in computing technology for provisioning additional processing power in high performance computing and communications. Multi-core architectures are proposed for their capability to provide higher performance without increasing heat and power usage, which is the main concern in a single-core processor. This paper introduces analytical models of a new architecture for large-scale multi-core clusters to improve the communication performance within the interconnection network. The new architecture will be based on a multi - cluster architecture containing clusters of multi-core processors.

BibTex:

    @Article{OJCC_2015v2i1n02_Hamid,
        title     = {An Analytical Model of Multi-Core Multi-Cluster Architecture (MCMCA)},
        author    = {Norhazlina Hamid and
                     Robert John Walters and
                     Gary B. Wills},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2015},
        volume    = {2},
        number    = {1},
        pages     = {4--15},
        url       = {https://www.ronpub.com/OJCC_2015v2i1n02_Hamid.pdf},
        urn       = {urn:nbn:de:101:1-201705194487},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Multi-core clusters have emerged as an important contribution in computing technology for provisioning additional processing power in high performance computing and communications. Multi-core architectures are proposed for their capability to provide higher performance without increasing heat and power usage, which is the main concern in a single-core processor. This paper introduces analytical models of a new architecture for large-scale multi-core clusters to improve the communication performance within the interconnection network. The new architecture will be based on a multi - cluster architecture containing clusters of multi-core processors.}
    }

 Open Access 

Scalable Distributed Computing Hierarchy: Cloud, Fog and Dew Computing

Karolj Skala, Davor Davidovic, Enis Afgan, Ivan Sovic, Zorislav Sojat

Open Journal of Cloud Computing (OJCC), 2(1), Pages 16-24, 2015, Downloads: 6266

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194519 | GNL-LP: 1132360749 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: The paper considers the conceptual approach for organization of the vertical hierarchical links between the scalable distributed computing paradigms: Cloud Computing, Fog Computing and Dew Computing. In this paper, the Dew Computing is described and recognized as a new structural layer in the existing distributed computing hierarchy. In the existing computing hierarchy, the Dew computing is positioned as the ground level for the Cloud and Fog computing paradigms. Vertical, complementary, hierarchical division from Cloud to Dew Computing satisfies the needs of high- and low-end computing demands in everyday life and work. These new computing paradigms lower the cost and improve the performance, particularly for concepts and applications such as the Internet of Things (IoT) and the Internet of Everything (IoE). In addition, the Dew computing paradigm will require new programming models that will efficiently reduce the complexity and improve the productivity and usability of scalable distributed computing, following the principles of High-Productivity computing.

BibTex:

    @Article{OJCC_2015v2i1n03_Skala,
        title     = {Scalable Distributed Computing Hierarchy: Cloud, Fog and Dew Computing},
        author    = {Karolj Skala and
                     Davor Davidovic and
                     Enis Afgan and
                     Ivan Sovic and
                     Zorislav Sojat},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2015},
        volume    = {2},
        number    = {1},
        pages     = {16--24},
        url       = {https://www.ronpub.com/OJCC_2015v2i1n03_Skala.pdf},
        urn       = {urn:nbn:de:101:1-201705194519},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The paper considers the conceptual approach for organization of the vertical hierarchical links between the scalable distributed computing paradigms: Cloud Computing, Fog Computing and Dew Computing. In this paper, the Dew Computing is described and recognized as a new structural layer in the existing distributed computing hierarchy. In the existing computing hierarchy, the Dew computing is positioned as the ground level for the Cloud and Fog computing paradigms. Vertical, complementary, hierarchical division from Cloud to Dew Computing satisfies the needs of high- and low-end computing demands in everyday life and work. These new computing paradigms lower the cost and improve the performance, particularly for concepts and applications such as the Internet of Things (IoT) and the Internet of Everything (IoE). In addition, the Dew computing paradigm will require new programming models that will efficiently reduce the complexity and improve the productivity and usability of scalable distributed computing, following the principles of High-Productivity computing.}
    }

 Open Access 

A Self-Optimizing Cloud Computing System for Distributed Storage and Processing of Semantic Web Data

Sven Groppe, Johannes Blume, Dennis Heinrich, Stefan Werner

Open Journal of Cloud Computing (OJCC), 1(2), Pages 1-14, 2014, Downloads: 2329

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194478 | GNL-LP: 113236065X | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Clouds are dynamic networks of common, off-the-shell computers to build computation farms. The rapid growth of databases in the context of the semantic web requires efficient ways to store and process this data. Using cloud technology for storing and processing Semantic Web data is an obvious way to overcome difficulties in storing and processing the enormously large present and future datasets of the Semantic Web. This paper presents a new approach for storing Semantic Web data, such that operations for the evaluation of Semantic Web queries are more likely to be processed only on local data, instead of using costly distributed operations. An experimental evaluation demonstrates the performance improvements in comparison to a naive distribution of Semantic Web data.

BibTex:

    @Article{OJCC-v1i2n01_Groppe,
        title     = {A Self-Optimizing Cloud Computing System for Distributed Storage and Processing of Semantic Web Data},
        author    = {Sven Groppe and
                     Johannes Blume and
                     Dennis Heinrich and
                     Stefan Werner},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2014},
        volume    = {1},
        number    = {2},
        pages     = {1--14},
        url       = {https://www.ronpub.com/OJCC-v1i2n01_Groppe.pdf},
        urn       = {urn:nbn:de:101:1-201705194478},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Clouds are dynamic networks of common, off-the-shell computers to build computation farms. The rapid growth of databases in the context of the semantic web requires efficient ways to store and process this data. Using cloud technology for storing and processing Semantic Web data is an obvious way to overcome difficulties in storing and processing the enormously large present and future datasets of the Semantic Web. This paper presents a new approach for storing Semantic Web data, such that operations for the evaluation of Semantic Web queries are more likely to be processed only on local data, instead of using costly distributed operations. An experimental evaluation demonstrates the performance improvements in comparison to a naive distribution of Semantic Web data.}
    }

 Open Access 

Evaluation of Node Failures in Cloud Computing Using Empirical Data

Abdulelah Alwabel, Robert John Walters, Gary B. Wills

Open Journal of Cloud Computing (OJCC), 1(2), Pages 15-24, 2014, Downloads: 1900

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194435 | GNL-LP: 1132360609 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Cloud has emerged as a new computing paradigm that promises to move into computing-as-utility era. Desktop Cloud is a new type of Cloud computing introduced to further achieve this ambition with an aim to reduce costs. It merges two computing models: Cloud computing and volunteer computing. The aim of Desktop Cloud is to provide Cloud services out of infrastructure that is not made for this purpose, like PCs and laptops. Such computing resources lead to a high level of volatility as a result of the fact that they can leave without prior knowledge. This paper studies the impact of node failures using evaluation metrics based on real data collected from public archive to simulate failure events in the infrastructure of a Desktop Cloud. The contribution of this paper is: (i) analysing the failure events, (ii) proposing metrics to evaluate Desktop Clouds, and (iii) evaluating several VM allocation mechanisms in the presence of node failures.

BibTex:

    @Article{OJCC-2014v1i2n02_Alwabel,
        title     = {Evaluation of Node Failures in Cloud Computing Using Empirical Data},
        author    = {Abdulelah Alwabel and
                     Robert John Walters and
                     Gary B. Wills},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2014},
        volume    = {1},
        number    = {2},
        pages     = {15--24},
        url       = {https://www.ronpub.com/OJCC-2014v1i2n02_Alwabel.pdf},
        urn       = {urn:nbn:de:101:1-201705194435},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Cloud has emerged as a new computing paradigm that promises to move into computing-as-utility era. Desktop Cloud is a new type of Cloud computing introduced to further achieve this ambition with an aim to reduce costs. It merges two computing models: Cloud computing and volunteer computing. The aim of Desktop Cloud is to provide Cloud services out of infrastructure that is not made for this purpose, like PCs and laptops. Such computing resources lead to a high level of volatility as a result of the fact that they can leave without prior knowledge. This paper studies the impact of node failures using evaluation metrics based on real data collected from public archive to simulate failure events in the infrastructure of a Desktop Cloud. The contribution of this paper is: (i) analysing the failure events, (ii) proposing metrics to evaluate Desktop Clouds, and (iii) evaluating several VM allocation mechanisms in the presence of node failures.}
    }

 Open Access 

An Introductory Approach to Risk Visualization as a Service

Victor Chang

Open Journal of Cloud Computing (OJCC), 1(1), Pages 1-9, 2014, Downloads: 1773

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194429 | GNL-LP: 1132360595 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: This paper introduces the Risk Visualization as a Service (RVaaS) and presents the motivation, rationale, methodology, Cloud APIs used, operations and examples of using RVaaS. Risks can be calculated within seconds and presented in the form of Visualization to ensure that unexploited areas are ex-posed. RVaaS operates in two phases. The first phase includes the risk modeling in Black Scholes Model (BSM), creating 3D Visualization and Analysis. The second phase consists of calculating key derivatives such as Delta and Theta for financial modeling. Risks presented in visualization allow the potential investors and stakeholders to keep track of the status of risk with regard to time, prices and volatility. Our approach can improve accuracy and performance. Results in experiments show that RVaaS can perform up to 500,000 simulations and complete all simulations within 24 seconds for time steps of up to 50. We also introduce financial stock market analysis (FSMA) that can fully blend with RVaaS and demonstrate two examples that can help investors make better decision based on the pricing and market volatility information. RVaaS provides a structured way to deploy low cost, high quality risk assessment and support real-time calculations.

BibTex:

    @Article{OJCC-v1i1n01_Chang,
        title     = {An Introductory Approach to Risk Visualization as a Service},
        author    = {Victor Chang},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {1--9},
        url       = {https://www.ronpub.com/OJCC-v1i1n01_Chang.pdf},
        urn       = {urn:nbn:de:101:1-201705194429},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This paper introduces the Risk Visualization as a Service (RVaaS) and presents the motivation, rationale, methodology, Cloud APIs used, operations and examples of using RVaaS. Risks can be calculated within seconds and presented in the form of Visualization to ensure that unexploited areas are ex-posed. RVaaS operates in two phases. The first phase includes the risk modeling in Black Scholes Model (BSM), creating 3D Visualization and Analysis. The second phase consists of calculating key derivatives such as Delta and Theta for financial modeling. Risks presented in visualization allow the potential investors and stakeholders to keep track of the status of risk with regard to time, prices and volatility. Our approach can improve accuracy and performance. Results in experiments show that RVaaS can perform up to 500,000 simulations and complete all simulations within 24 seconds for time steps of up to 50. We also introduce financial stock market analysis (FSMA) that can fully blend with RVaaS and demonstrate two examples that can help investors make better decision based on the pricing and market volatility information. RVaaS provides a structured way to deploy low cost, high quality risk assessment and support real-time calculations.}
    }

 Open Access 

Block-level De-duplication with Encrypted Data

Pasquale Puzio, Refik Molva, Melek Önen, Sergio Loureiro

Open Journal of Cloud Computing (OJCC), 1(1), Pages 10-18, 2014, Downloads: 3348

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194448 | GNL-LP: 1132360617 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: Deduplication is a storage saving technique which has been adopted by many cloud storage providers such as Dropbox. The simple principle of deduplication is that duplicate data uploaded by different users are stored only once. Unfortunately, deduplication is not compatible with encryption. As a scheme that allows deduplication of encrypted data segments, we propose ClouDedup, a secure and efficient storage service which guarantees blocklevel deduplication and data confidentiality at the same time. ClouDedup strengthens convergent encryption by employing a component that implements an additional encryption operation and an access control mechanism. We also propose to introduce an additional component which is in charge of providing a key management system for data blocks together with the actual deduplication operation. We show that the overhead introduced by these new components is minimal and does not impact the overall storage and computational costs.

BibTex:

    @Article{OJCC-v1i1n02_Puzio,
        title     = {Block-level De-duplication with Encrypted Data},
        author    = {Pasquale Puzio and
                     Refik Molva and
                     Melek {\"O}nen and
                     Sergio Loureiro},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {10--18},
        url       = {https://www.ronpub.com/OJCC-v1i1n02_Puzio.pdf},
        urn       = {urn:nbn:de:101:1-201705194448},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Deduplication is a storage saving technique which has been adopted by many cloud storage providers such as Dropbox. The simple principle of deduplication is that duplicate data uploaded by different users are stored only once. Unfortunately, deduplication is not compatible with encryption. As a scheme that allows deduplication of encrypted data segments, we propose ClouDedup, a secure and efficient storage service which guarantees blocklevel deduplication and data confidentiality at the same time. ClouDedup strengthens convergent encryption by employing a component that implements an additional encryption operation and an access control mechanism. We also propose to introduce an additional component which is in charge of providing a key management system for data blocks together with the actual deduplication operation. We show that the overhead introduced by these new components is minimal and does not impact the overall storage and computational costs.}
    }

 Open Access 

Measuring and analyzing German and Spanish customer satisfaction of using the iPhone 4S Mobile Cloud service

Victor Chang

Open Journal of Cloud Computing (OJCC), 1(1), Pages 19-26, 2014, Downloads: 1784

Full-Text: pdf | URN: urn:nbn:de:101:1-201705194450 | GNL-LP: 1132360633 | Meta-Data: tex xml rdf rss | Show/Hide Abstract | Show/Hide BibTex

Abstract: This paper presents the customer satisfaction analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research. The twelve-month of German and Spanish consumer data are used for the analysis to investigate the return and risk status associated with the ratings of customer satisfaction in the iPhone 4S Mobile Cloud services. Results show that there is a decline in the satisfaction ratings in Germany and Spain due to economic downturn and competitions in the market, which support our hypothesis. Key outputs have been explained and they confirm that all analysis and interpretations fulfill the criteria for OSM. The use of statistical and visualization method proposed by OSM can expose unexploited data and allows the stakeholders to understand the status of return and risk of their Cloud strategies easier than the use of other data analysis.

BibTex:

    @Article{OJCC-v1i1n03_Chang,
        title     = {Measuring and analyzing German and Spanish customer satisfaction of using the iPhone 4S Mobile Cloud service},
        author    = {Victor Chang},
        journal   = {Open Journal of Cloud Computing (OJCC)},
        issn      = {2199-1987},
        year      = {2014},
        volume    = {1},
        number    = {1},
        pages     = {19--26},
        url       = {https://www.ronpub.com/OJCC-v1i1n03_Chang.pdf},
        urn       = {urn:nbn:de:101:1-201705194450},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {This paper presents the customer satisfaction analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research. The twelve-month of German and Spanish consumer data are used for the analysis to investigate the return and risk status associated with the ratings of customer satisfaction in the iPhone 4S Mobile Cloud services. Results show that there is a decline in the satisfaction ratings in Germany and Spain due to economic downturn and competitions in the market, which support our hypothesis. Key outputs have been explained and they confirm that all analysis and interpretations fulfill the criteria for OSM. The use of statistical and visualization method proposed by OSM can expose unexploited data and allows the stakeholders to understand the status of return and risk of their Cloud strategies easier than the use of other data analysis.}
    }

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The paper Getting Indexed by Bibliographic Databases in the Area of Computer Science provides a comprehensive survey on indexing formats, techniques and databases. We will also continue our efforts on dissemination and indexing of our publications.

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