@inproceedings{8392e8f0056949d295c4c1d755761dda,
title = "Kernel-level caching for optimizing I/O by exploiting inter-application data sharing",
abstract = "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.",
author = "M. Vilayannur and M. Kandemir and A. Sivasubramaniam",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; IEEE International Conference on Cluster Computing, CLUSTER 2002 ; Conference date: 23-09-2002 Through 26-09-2002",
year = "2002",
doi = "10.1109/CLUSTR.2002.1137775",
language = "English (US)",
series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "425--432",
editor = "Bill Gropp and Rajkumar Buyya and Rob Pennington and Maxine Brown and Mark Baker and Dan Reed",
booktitle = "Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2002",
address = "United States",
}