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Towards an autonomic performance management approach for a cloud broker environment using a decomposition–coordination based methodology
به سوی یک رویکرد مدیریت عملکرد خودمختار برای یک محیط کارگزار ابری با استفاده از یک روش مبتنی بر تجزیه هماهنگی-2016 Efficient resource allocation of computational resources to services is one of the predominant challenges
in a cloud computing environment. Furthermore, the advent of cloud brokerage and federated cloud
computing systems increases the complexity of cloud resource management. Cloud brokers are
considered third party organizations that work as intermediaries between the service providers and the
cloud providers. Cloud brokers rent different types of cloud resources from a number of cloud providers
and sublet these resources to the requesting service providers. In this paper, an autonomic performance
management approach is introduced that provides dynamic resource allocation capabilities for deploying
a set of services over a federated cloud computing infrastructure by considering the availability as
well as the demand of the cloud computing resources. A distributed control based approach is used
for providing autonomic computing features to the proposed framework via a feedback-based control
loop. This distributed control based approach is developed using one of the decomposition–coordination
methodologies, named interaction balance, for interactive bidding of cloud computing resources. The
primary goals of the proposed approach are to maintain the service level agreements, maximize the
profit, and minimize the operating cost for the service providers and the cloud broker. The application
of interaction balance methodology and prioritization of profit maximization for the cloud broker and the
service providers during resource allocation are novel contributions of the proposed approach.
Keywords: Decomposition–coordination | Interaction balance | Autonomic computing | Cloud broker | Cloud computing |
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