Optimal allocation of shared data over distributed memory hierarchies

Abstract

Nonreplicated shared data of distributed applications is optimally allocated to pre-specified multilevel memory partitions at the sites of a heterogeneous multicomputer network to minimize a weighted combination of systemwide mean time delay performance and mean communication cost per access request. Greedy and fast optimization algorithms are presented for nonqueueing lightly-loaded as well as heavily-loaded multiqueue system models with channel, l/O, and memory hierarchy queues. Extensions to data exhibiting nonuniform access demand rates and distinct query and update statistics are presented.<>