Abstract

This paper investigates database processing in parallel processing systems. The objective is to maximize throughput and minimize response time through conflict free data accesses. We propose abstract models as a general framework, and then present two specific parallel processing strategies for two common types of database applications. One is optimal file distribution for partial match queries, and the other is a multidirectory hasing scheme where database accesses are based on primary keys. We show that these proposed parallel processing strategies perform better than those proposed earlier. This work presents a new basis on which design of parallel processing database systems for various applications can be facilitated more systematically.

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