Title
Autonomous Resource Consolidation Management in Clouds Using IMPROMPTU Extensions
Abstract
This paper focuses on the problem of resource consolidation management within cloud computing environments and extends our previous IMPROMPTU model which demonstrated the viability of distributed Multiple Criteria Decision Analysis (MCDA) to provide a resource consolidation management that simultaneously achieves lower numbers of reconfiguration events and fewer service level agreement (SLA) violations as compared to other approaches. A core limitation of our previous work was that it only assessed the PROMETHEE II outranking-based MCDA method, leaving open the question of whether better outranking schemes exist and, more generally, what denotes the properties of good outranking approaches for this problem domain. This work addresses these deficiencies through extending the IMPROMPTU model to directly compare PROMETHEE II with ELECRE III and PAMSSEM II, two other well-known outranking-based MCDA schemes. An in-depth analysis of the generated simulation results are then used to highlight the core trade-offs between each of these MCDA approaches.
Year
DOI
Venue
2012
10.1109/CLOUD.2012.105
Cloud Computing
Keywords
Field
DocType
cloud computing,decision making,resource allocation,ELECRE III,IMPROMPTU extensions,PAMSSEM II,PROMETHEE II,SLA,autonomous resource consolidation management,cloud computing environments,multiple criteria decision analysis,outranking schemes,outranking-based MCDA schemes,service level agreement,multiple criteria decision analysis,resource consolidation management
Data mining,Multiple-criteria decision analysis,Problem domain,Computer science,Service-level agreement,Operations research,Resource allocation,Impromptu,Control reconfiguration,Distributed computing,Cloud computing,Scalability
Conference
ISSN
ISBN
Citations 
2159-6182
978-1-4673-2892-0
2
PageRank 
References 
Authors
0.35
9
4
Name
Order
Citations
PageRank
Yağız Onat Yazır141.76
Akbulut, Y.220.35
Farahbod, R.320.35
Guitouni, A.420.35