作者: Karim Djemame , Django J. Armstrong , Ming Jiang , Mariam Kiran
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摘要: As the realization of Cloud computing environments advances from a simple and single private towards more complex Service Ecosystem consisting multiple coexisting public or hybrid Clouds, there are emerging high level concerns such as risk, trust, ecological, security, cost legal factors that underpin non-functional properties ecosystem. These beyond traditional focus providing functionalities at levels close to infrastructure hardware resource virtualization. In this paper we present ongoing research work analyze address risk factor in for purpose optimizing service. The main contributions design implementation an effective efficient assessment framework (methodologies identification, evaluation, mitigation monitoring) service provision. Together with corresponding strategies, provides technological assurance will lead higher confidence consumers on one side cost-effective reliable productivity Provider (SP) resources organized by individual Infrastructure (IP) other side. its software toolkit is part development OPTIMIS (Optimized Services) project whose objective enable open dependable delivers IT services adaptable, reliable, auditable sustainable both ecologically economically. Keywords-risk assessment; services; provider; optimization.