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2012 IEEE Fifth International Conference on Cloud Computing
A Framework for Classification of Resource Consolidation Management Problems
Honolulu, HI, USA USA
June 24-June 29
ISBN: 978-1-4673-2892-0
Much effort in the current literature has been put towards methods and implementations to solve Resource Consolidation Management (RCM) problems in the cloud setting. A vast number of proposed solutions appears to be designed for different variants of the RCM problem. This makes the comparison of approaches challenging. We propose a new framework that facilitates mapping RCM solutions to their RCM problem definitions. Our framework allows a solution to be assigned to its RCM problem definition by means of answering a set of questions specific to RCM problems. Our framework can be used to (1) specify problem descriptions, (2) establish optimal solutions and providing theoretical benchmarks, (3) provide a platform allowing formal complexity analysis of RCM problems and (4) facilitate a healthy discussion about the essence of RCM and evaluations of different solutions. We show how our proposed framework can be applied in form of case studies depicting four approaches from the literature.
Index Terms:
Uncertainty,Cloud computing,Computer science,Educational institutions,Electronic mail,Resource management,unified framework,resource consolidation management,theoretical benchmarks
Citation:
Steven Lonergan, Yagiz Onat Yazir, Ulrike Stege, "A Framework for Classification of Resource Consolidation Management Problems," cloud, pp.972-973, 2012 IEEE Fifth International Conference on Cloud Computing, 2012
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