Resource management with stateful support for analytic applications

Abstract

Analytic applications from various industrial sectors have specific attributes and requirements including relatively long processing time, parallelization, multiple interactive invocations, web services, and expected quality of service objectives. Current parallel resource management systems for batch-oriented jobs lack the effective support for multiple interactive invocations with consideration in quality of service objectives, while transaction processing systems do not support dynamic creation of parallel application instances. To better serve the analytic applications, a set of additional resource management services, defined as stateful support, introduces the concept of Service Instance and Service Instance Management. This set of stateful support services can be implemented as extension to existing parallel resource management to serve these analytic applications that rapidly increase in the demand of computing power.