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Title of Journal: Soft Comput

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Abbravation: Soft Computing

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Springer Berlin Heidelberg

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DOI

10.1007/s10517-014-2654-2

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1433-7479

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ATAC4Cloud a framework for modeling and simulatin

Authors: Walid Chainbi Hanen Chihi Meriem Azaiez
Publish Date: 2016/11/26
Volume: 21, Issue: 16, Pages: 4571-4582
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Abstract

Optimizing resources usage costs represents a key issue in order to efficiently manage Cloud infrastructure By using such infrastructure the ability to infer the needed number and type of resources determines the final budget A lot of work and budget is required to set up a testbed of adequate size including different resources from different Cloud providers in order to develop new proposals aimed at Cloud resources adaptation Several Cloud computing simulators including MDCSim GreenCloud iCanCloud and CloudSim have been proposed but their main problems are that they don’t take into account Cloud selfadaptation needs For these reasons we propose in this paper ATAC4Cloud a Cloud simulator supporting autonomic behaviors and integrating a workload generator that builds benchmarks to test the Cloud infrastructure The underpinning of this work is the synergy existing between agent technology and autonomic computing to develop selfadaptive Cloud systems ATAC4Cloud is developed as an extension of CloudSim

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