Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1298-1299 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781728186955 |
| DOIs | |
| State | Published - Jul 2020 |
| Externally published | Yes |
| Event | 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada Duration: 6 Jul 2020 → 9 Jul 2020 |
Publication series
| Name | IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 |
|---|
Conference
| Conference | 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 6/07/20 → 9/07/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
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