A framework for scheduling parallel DBMS user-defined programs on an attached high-performance computer

Abstract

We describe a software framework for deploying, scheduling and executing parallel DBMS user-defined programs on an attached high-performance computer (HPC) platform. This framework is advantageous for many DBMS workloads in the following two aspects. First, the long-running user-defined programs can be speeded up by taking advantage of the greater hardware parallelism available on the attached HPC platform. Second, the interactive response time of the remaining applications on the database server platform is improved by the off-loading of long-running user-defined programs to the attached HPC platform. Our framework provides a new approach for integrating high-performance computing into the workflow of query-oriented, computationallyintensive applications. Copyright 2008 ACM.