Abstract | ||
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Efficient on-demand deployment of VMs is at the core of cloud infrastructure but the existing resource management approaches are too slow to fulfill this promise. Parallel resource management is a promising direction for boosting performance, but when applied naïvely, it significantly increases the communication overhead and the decline ratio of deployment attempts. We propose a new dynamic and randomized algorithm, APSR, for parallel assignment of VMs to hosts in a cloud environment. APSR is guaranteed to satisfy an SLA containing decline ratio constraints, and communication overheads constraints. Furthermore, via extensive simulations, we show that APSR obtains a higher throughput than other commonly employed policies (including those used in OpenStack) while achieving a reduction of up to 13x in decline ratio and a reduction of over 85% in communication overheads. |
Year | DOI | Venue |
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2020 | 10.1109/INFOCOMWKSHPS50562.2020.9162912 | IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
Keywords | DocType | ISBN |
parallel VM placement,provable guarantees,cloud infrastructure,parallel resource management,communication overhead,APSR,cloud environment,SLA | Conference | 978-1-7281-8696-2 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Itamar Cohen | 1 | 0 | 0.34 |
Gil Einziger | 2 | 151 | 20.82 |
Maayan Goldstein | 3 | 6 | 3.59 |
Yaniv Sa'ar | 4 | 0 | 0.34 |
Gabriel Scalosub | 5 | 103 | 10.41 |
Erez Waisbard | 6 | 33 | 4.78 |