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Rigorous results on the effectiveness of some heuristics for the consolidation of virtual machines in a cloud data center |
Tartalom: | http://real.mtak.hu/26978/ |
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Archívum: | MTA Könyvtár |
Gyűjtemény: |
Status = Published
Type = Article |
Cím: |
Rigorous results on the effectiveness of some heuristics for the consolidation of virtual machines in a cloud data center
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Létrehozó: |
Mann, ZoltĂĄn ĂdĂĄm
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Kiadó: |
North-Holland Publishing Company
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Dátum: |
2015
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Téma: |
QA75 Electronic computers. Computer science / szĂĄmĂtĂĄstechnika, szĂĄmĂtĂłgĂŠptudomĂĄny
QA76 Computer software / programozĂĄs
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Tartalmi leírás: |
Dynamic consolidation of virtual machines (VMs) in a cloud data center can be used to minimize
power consumption. Beloglazov et al. have proposed the MM (Minimization of Migrations) heuristic for selecting the VMs to migrate from under- or over-utilized hosts, as well as the MBFD (Modified Best Fit Decreasing) heuristic for deciding the placement of the migrated VMs. According to their simulation results, these heuristics work very well in practice. In this paper, we investigate what performance guarantees can be rigorously proven for the heuristics. In particular, we establish that MM is optimal with respect to the number of selected VMs of an over-utilized host and it is a 1.5-approximation with respect to the decrease in utilization. On the other hand, we show that the result of MBFD can be arbitrarily far from the optimum. Moreover, we show that even if both MM and MBFD deliver optimal results, their combination does not necessarily result in optimal VM consolidation, but approximation results can be proven under suitable technical conditions. To the best of our knowledge, these are the first rigorously proven results on the effectiveness of also practically useful heuristic algorithms for the VM consolidation problem. |
Nyelv: |
angol
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Típus: |
Article
PeerReviewed
info:eu-repo/semantics/article
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Formátum: |
text
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Azonosító: |
Mann, ZoltĂĄn ĂdĂĄm (2015) Rigorous results on the effectiveness of some heuristics for the consolidation of virtual machines in a cloud data center. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUT, 51. pp. 1-6. ISSN 0167-739X
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Kapcsolat: |
MTMT:2906806; doi:10.1016/j.future.2015.04.004
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