Issues in Runtime Algorithm Selection for Grid Environments

The heterogeneity and unpredictability of grid computing environments is a severe challenge to algorithm selection for large-scale scientific codes. This paper discusses a set of requirements for an algorithm selection web service, which supports runtime, context-aware algorithm recommendations in a multi-language, multi-platform environment. An architecture and prototype implementation of such a system is described, along with a perspective and case study of how such a system will be helpful to other grid middleware such as meta-scheduling systems.

• Type: Conference
• Year: 2003
• Where: CLADE
• Authors: Prachi Bora, Calvin J. Ribbens, Sandeep Prabhakar, Gautam Swaminathan, Malarvizhi Chinnusamy, Ashwin Jeyakumar, Beatriz Diaz-Acosta
• Keywords: Algorithm Selection, Algorithm Selection Web, CLADE 2003, Context-aware Algorithm Recommendations, Distributed And Parallel Computing