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Cloud Computing is considered nowadays as the future of ICT systems
leveraging new methodologies for developing, providing and consuming
services. Even though many people believe that Cloud
is just another buzzword for utility computing, this new computing
paradigm is not only changing the design of modern computing platforms
in technical level, but it also impels, from the market perspective,
the creation of new value chains and business models. However, many
technical complexities still remain, which disallow the wide adoption

Cloud Computing continues to be a rapidly evolving and prevalent paradigm where Quality of Service has a pivotal role to play in guaranteeing performance and provisioning of resources on-demand in a timely fashion. Improvements to the performance of Cloud technology ensure provider profitability and an increased number of applications that can make use of a Cloud where overheads would have otherwise limited usage.

The current approaches to manage risk in grid computing are a major step towards providing Quality of Service (QoS) to the end-user. However these approaches are based on node or machine level Assessment.

As the realization of Cloud computing environments advances from a simple and single private Cloud towards a more complex Cloud Service Ecosystem consisting of multiple coexisting public or hybrid Clouds, there are emerging high level concerns such as risk, trust, ecological, security, cost and legal factors that underpin the non-functional properties of the ecosystem.