Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Reducing the number of miscreant tasks executions in a multi-use cluster

Lookup NU author(s): Dr Stephen McGough, Dr Matthew ForshawORCiD, Dr Clive Gerrard, Dr Stuart Wheater

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

Exploiting computational resources within an organisation for more than their primary task offers great benefits - making better use of capital expenditure and provides a pool of computational power. This can be achieved through the deployment of a cycle stealing distributed system, where tasks execute during the idle time on computers. However, if a task has not completed when a computer returns to its primary function the task will be preempted, wasting time (and energy), and is often reallocated to a new resource in an attempt to complete. This becomes exacerbated when tasks are incapable of completing due to excessive execution time or faulty hardware/software, leading to a situation where tasks are perpetually reallocated between computers - wasting time and energy. In this work we investigate techniques to increase the chance of 'good' tasks completing whilst curtailing the execution of 'bad' tasks. We demonstrate, through simulation, that we could have reduce the energy consumption of our cycle stealing system by approximately 50%.

Publication metadata

Author(s): McGough AS, Forshaw M, Gerrard C, Wheater S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Second International Conference on Cloud and Green Computing (CGC)

Year of Conference: 2012

Pages: 296-303

Publisher: IEEE

URL: http://dx.doi.org/10.1109/CGC.2012.111

DOI: 10.1109/CGC.2012.111

Library holdings: Search Newcastle University Library for this item

ISBN: 9781467330275

Share