By Topic

Implementation of Cache Fair Thread Scheduling for multi core processors using wait free data structures in cloud computing applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Radhamani, A.S. ; Dept. of Comput. Sci. & Eng., Manonmanium Sundaranar Univ., Tirunelveli, India ; Baburaj, E.

As multi-core processors with tens or hundreds of cores begin to grow, system optimization issues once faced only by the High-Performance Computing (HPC). To satisfy the requirement, one can leverage multi-core architectures to parallelize traffic monitoring so as to progress information processing capabilities over traditional uni-processor architectures. In this paper an effective scheduling framework for multi-core processors that strike a balance between control over the system and an effective network traffic control mechanism for high-performance computing is proposed. In the proposed Cache Fair Thread Scheduling (CFTS), information supplied by the user to guide threads scheduling and also, where necessary, gives the programmer fine control over thread placement. Cloud computing has recently received considerable attention, as a promising approach for delivering network traffic services by improving the utilization of data centre resources. The primary goal of scheduling framework is to improve application throughput and overall system utilization in cloud applications. The resultant aim of the framework is to improve fairness so that each thread continues to make good forward progress. The experimental results show that the parallel CFTS could not only increase the processing rate, but also keep a well performance on stability which is important for cloud computing. This makes, it an effective network traffic control mechanism for cloud computing.

Published in:

Information and Communication Technologies (WICT), 2011 World Congress on

Date of Conference:

11-14 Dec. 2011