Volume 5, issue 1 of Open Journal of Cloud Computing(OJCC), ISSN 2199-1987 http://www.ronpub.com/index.php/journals/OJCC/issues?volume=5&issue=1 All papers of this issue en-us Olusola Akinrolabu, Steve New and Andrew Martin: Cyber Supply Chain Risks in Cloud Computing - Bridging the Risk Assessment Gap, Open Journal of Cloud Computing (OJCC), 5 (1), pages 1-19, URN: urn:nbn:de:101:1-201712245432, 2018 https://www.ronpub.com/ojcc/OJCC_2018v5i1n01_Akinrolabu.html http://nbn-resolving.de/urn:nbn:de:101:1-201712245432 Cloud computing represents a significant paradigm shift in the delivery of information technology (IT) services. The rapid growth of the cloud and the increasing security concerns associated with the delivery of cloud services has led many researchers to study cloud risks and risk assessments. Some of these studies highlight the inability of current risk assessments to cope with the dynamic nature of the cloud, a gap we believe is as a result of the lack of consideration for the inherent risk of the supply chain. This paper, therefore, describes the cloud supply chain and investigates the effect of supply chain transparency in conducting a comprehensive risk assessment. We conducted an industry survey to gauge stakeholder awareness of supply chain risks, seeking to find out the risk assessment methods commonly used, factors that hindered a comprehensive evaluation and how the current state-of-the-art can be improved. The analysis of the survey dataset showed the lack of flexibility of the popular qualitative assessment methods in coping with the risks associated with the dynamic supply chain of cloud services, typically made up of an average of eight suppliers. To address these gaps, we propose a Cloud Supply Chain Cyber Risk Assessment (CSCCRA) model, a quantitative risk assessment model which is supported by decision support analysis and supply chain mapping in the identification, analysis and evaluation of cloud risks. Henry-Norbert Cocos and Christian Baun: A Lightweight Network-Controlled Power Strip for Low-Cost Cluster Systems, Open Journal of Cloud Computing (OJCC), 5 (1), pages 20-29, URN: urn:nbn:de:101:1-2018080519300682402240, 2018 https://www.ronpub.com/ojcc/OJCC_2018v5i1n02_Cocos.html http://nbn-resolving.de/urn:nbn:de:101:1-2018080519300682402240 Low-cost clusters are not equipped with costly, sophisticated tools and cannot be controlled remotely. This work aims at addressing this issue and develops a lightweight network-controlled power strip, which enables administrators to monitor the cluster and perform operation via remote. The power strip is controlled via a web interface and a RESTful web service, which are implemented with the programming language Python and the web framework Flask. The solution is inexpensive and easy to implement and use. In this paper, we describe in detail the development and construction of the prototype of the solution and discuss its purchase cost and power consumption.