research-article

Energy- and performance-aware scheduling of tasks on parallel and distributed systems

Authors:

Hafiz Fahad Sheikh,

Phanisekhar BvAuthors Info & Claims

ACM Journal on Emerging Technologies in Computing Systems (JETC), Volume 8, Issue 4

Article No.: 32, Pages 1 - 37

https://doi.org/10.1145/2367736.2367743

Published: 30 November 2012 Publication History

Abstract

Enabled by high-speed networking in commercial, scientific, and government settings, the realm of high performance is burgeoning with greater amounts of computational and storage resources. Large-scale systems such as computational grids consume a significant amount of energy due to their massive sizes. The energy and cooling costs of such systems are often comparable to the procurement costs over a year period. In this survey, we will discuss allocation and scheduling algorithms, systems, and software for reducing power and energy dissipation of workflows on the target platforms of single processors, multicore processors, and distributed systems. Furthermore, recent research achievements will be investigated that deal with power and energy efficiency via different power management techniques and application scheduling algorithms. The article provides a comprehensive presentation of the architectural, software, and algorithmic issues for energy-aware scheduling of workflows on single, multicore, and parallel architectures. It also includes a systematic taxonomy of the algorithms developed in the literature based on the overall optimization goals and characteristics of applications.

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cover image ACM Journal on Emerging Technologies in Computing Systems

ACM Journal on Emerging Technologies in Computing Systems Volume 8, Issue 4

October 2012

212 pages

ISSN:1550-4832

EISSN:1550-4840

DOI:10.1145/2367736

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Published: 30 November 2012

Accepted: 01 October 2011

Revised: 01 October 2011

Received: 01 July 2011

Published in JETC Volume 8, Issue 4

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