Full metadata
Title
Energy-efficient scheduling for heterogeneous servers in the dark silicon era
Description
Driven by stringent power and thermal constraints, heterogeneous multi-core processors, such as the ARM big-LITTLE architecture, are becoming increasingly popular. In this thesis, the use of low-power heterogeneous multi-cores as Microservers using web search as a motivational application is addressed. In particular, I propose a new family of scheduling policies for heterogeneous microservers that assign incoming search queries to available cores so as to optimize for performance metrics such as mean response time and service level agreements, while guaranteeing thermally-safe operation. Thorough experimental evaluations on a big-LITTLE platform demonstrate, on an heterogeneous eight-core Samsung Exynos 5422 MpSoC, with four big and little cores each, that naive performance oriented scheduling policies quickly result in thermal instability, while the proposed policies not only reduce peak temperature but also achieve 4.8x reduction in processing time and 5.6x increase in energy efficiency compared to baseline scheduling policies.
Date Created
2015
Contributors
- Jain, Sankalp (Author)
- Ogras, Umit Y. (Thesis advisor)
- Garg, Siddharth (Committee member)
- Chakrabarti, Chaitali (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vii, 41 p. : col. ill
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.29678
Statement of Responsibility
by Sankalp Jain
Description Source
Viewed on June 15, 2015
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2015
Note type
thesis
Includes bibliographical references (p. 38-41)
Note type
bibliography
Field of study: Electrical engineering
System Created
- 2015-06-01 08:05:00
System Modified
- 2021-08-30 01:30:09
- 2 years 8 months ago
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