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Soft Computing
Published in: Soft Computing 16/2017

26-11-2016 | Focus

ATAC4Cloud: a framework for modeling and simulating autonomic cloud

Authors: Walid Chainbi, Hanen Chihi, Meriem Azaiez

Published in: Soft Computing | Issue 16/2017

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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 self-adaptation 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 self-adaptive Cloud systems. ATAC4Cloud is developed as an extension of CloudSim.
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Footnotes
1
VM: Virtual Machine.
 
2
DC: Data Center.
 
3
PM: Physical Machine.
 
4
Hibernate is an Object-Relational Mapping (ORM) framework for the Java language. It maps an object-oriented domain model to a relational database and provides data query and retrieval facilities (see http://​www.​hibernate.​org for more details).
 
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Metadata
Title
ATAC4Cloud: a framework for modeling and simulating autonomic cloud
Authors
Walid Chainbi
Hanen Chihi
Meriem Azaiez
Publication date
26-11-2016
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 16/2017
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2451-0

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