@conference {17868,
	title = {On cache replacement policies for servicing mixed data intensive query workloads},
	booktitle = {Proceedings of the 2nd Workshop on Caching, Coherence, and Consistency, held in conjunction with the 16th ACM International Conference on Supercomputing},
	year = {2002},
	month = {2002///},
	abstract = {When data analysis applications are employed in a multi-client environment, a data server must service multiple si-
multaneous queries, each of which may employ complex
user-defined data structures and operations on the data. It
is then necessary to harness inter- and intra-query com-
monalities and system resources to improve the performance
of the data server. We have developed a framework and
customizable middleware to enable reuse of intermediate
and final results among queries, through an in-memory ac-
tive semantic cache and user-defined transformation func-
tions. Since resources such as processing power and mem-
ory space are limited on the machine hosting the server, ef-
fective scheduling of incoming queries and efficient cache
replacement policies are challenging issues that must be ad-
dressed. We have worked on the scheduling problem in ear-
lier work, and in this paper we describe and evaluate several
cache replacement policies. We present experimental eval-
uation of the policies on a shared-memory parallel system
using two applications from different application domains.
},
	author = {Andrade,H. and Kurc, T. and Sussman, Alan and Borovikov,E. and Saltz, J.}
}
