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Conference Papers Year : 2017

COPS: Cost Based Object Placement Strategies on Hybrid Storage System for DBaaS Cloud

Djillali Boukhelef
  • Function : Author
Kamel Boukhalfa
  • Function : Author
  • PersonId : 862711
Jalil Boukhobza
Hamza Ouarnoughi
  • Function : Author
  • PersonId : 980950
Laurent Lemarchand

Abstract

Solid State Drives (SSD) are integrated together with Hard Disk Drives (HDD) in Hybrid Storage Systems (HSS) for Cloud environment. When it comes to storing data, some placement strategies are used to find the best location (SSD or HDD). These strategies should minimize the cost of data placement while satisfying Service Level Objectives (SLO). This paper presents two Cost based Object Placement Strategies (COPS) for DBaaS objects in HSS: a Genetic based approach (G-COPS) and an ad-hoc Heuristic approach (H-COPS) based on incremental optimization. While G-COPS proved to be closer to the optimal solution in case of small instances, H-COPS showed a better scalability as it approached the exact solution even for large instances (by 10% in average). In addition, H-COPS showed small execution times (few seconds) even for large instances which makes it a good candidate to be used in runtime. Both H-COPS and G-COPS performed better than state-of-the-art solutions as they satisfied SLOs while reducing the overall cost by more than 40% for problems of small and large instances.
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Dates and versions

hal-01557979 , version 1 (06-07-2017)

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Djillali Boukhelef, Kamel Boukhalfa, Jalil Boukhobza, Hamza Ouarnoughi, Laurent Lemarchand. COPS: Cost Based Object Placement Strategies on Hybrid Storage System for DBaaS Cloud . IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2017, Madrid, Spain. pp.659-664 ⟨10.1109/CCGRID.2017.36⟩. ⟨hal-01557979⟩
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