Nowadays, the notion of virtualization infrastructures is making significant headway in the computing landscape. The business-push to these infrastructures stemming from the Cloud computing paradigm resulted in a more sophisticated concept of rent-a-technology that enabled a series of new-networked business models. This emerging digital globalization has not only raised the legal stakes and ownership concerns; but also highlight the need of providing effective security solutions. These security solutions should be able to scale the application requirements without undue performance and quality overheads to ensure security and privacy of data in the federated Cloud deployments. This paper presents a formal way of testing the impact of scalability and heterogeneity on the federated Cloud security services. The work presented in this paper aims to develop a mean of quantifying the impact on security functions under various operating conditions and parameters of federated Cloud deployments. The results of this work will help businesses to identify the best security architecture that will fit their Cloud architectures and performance requirements.
The increasing use of cloud computing services results in an increased risk of lock-in that is source of anxiety for users facing the risk of having their data to be hosted online without the possibility of migrating them on their own IT resources or on competitors' platforms. In this preliminary research, we deal with the problem of the management of lock-in in case of use of cloud computing services. We aim to answer six questions: (1) What is the lock-in? (2) Is the lock-in perceived as a major problem? (3) What are the causes of lock-in? (4) What is the impact of lock-in on the users? (5) How can the users avoid lock-in? and (6) Is the general public concerned with the problem of lock-in? Our paper is organized in three sections. The first section presents the methodology used for this study. The second section details the results. This section identifies in particular six mechanisms to reduce the risk of lock-in. The third section discusses the results and suggests further work.
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