By Topic

Kernel-level caching for optimizing I/O by exploiting inter-application data sharing

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

3 Author(s)
Vilayannur, M. ; Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA ; Kandemir, M. ; Sivasubramaniam, A.

With applications becoming larger and the increasing load on high performance systems, it is important to tackle the I/O bottleneck problem from several angles. It is not only essential to optimize the I/O accesses of any one application, but also to be able to identify and exploit opportunities resulting front the sharing of datasets across applications. Clusters are rapidly becoming the platform of choice for demanding applications due to their cost-effectiveness and widespread deployment. Consequently, this paper attempts to optimize data sharing across applications concurrently executing on the cluster. Specifically, we propose and implement a kernel-level caching module at each node of a Linux cluster that can be used to service several processes of different applications. Using detailed evaluations on an actual Linux cluster this paper demonstrates the benefits of this module in optimizing intra and inter-application I/O requests.

Published in:

Cluster Computing, 2002. Proceedings. 2002 IEEE International Conference on

Date of Conference:

2002