abstract

Batch spot market for data analytics cloud providers

Authors:

Stefania Costache,

Tommaso Madonia,

Asser Tantawi,

Malgorzata SteinderAuthors Info & Claims

SoCC '17: Proceedings of the 2017 Symposium on Cloud Computing

Page 631

https://doi.org/10.1145/3127479.3134348

Published: 24 September 2017 Publication History

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Abstract

Hosting data analytics services is challenging as their workload is often composed of on-line (e.g., interactive or streaming), requiring fast on-demand provisioning, and batch jobs. As workload demand fluctuations lead to varying idle capacity, efficient resource management is difficult, in particular given different provider objectives, e.g., utilization, revenue.

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Information

Published In

SoCC '17: Proceedings of the 2017 Symposium on Cloud Computing

September 2017

672 pages

ISBN:9781450350280

DOI:10.1145/3127479

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2017

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SoCC '17

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SoCC '17: ACM Symposium on Cloud Computing

September 24 - 27, 2017

California, Santa Clara

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Overall Acceptance Rate 169 of 722 submissions, 23%

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