Future Generation Computer Systems - Special issue on metacomputing
Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Optimisation of component-based applications within a grid environment
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Parallel performance prediction using lost cycles analysis
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
Techniques for High-Performance Computational Steering
IEEE Concurrency
Toward a Framework for Preparing and Executing Adaptive Grid Programs
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
ICENI: an open grid service architecture implemented with Jini
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Autopilot: Adaptive Control of Distributed Applications
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
To Overprovision or To Share via QoS-aware Resource Management?
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Performance Prediction in Production Environments
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
A Portable Programming Interface for Performance Evaluation on Modern Processors
International Journal of High Performance Computing Applications
Modeling application performance by convolving machine signatures with application profiles
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
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A major method of constructing applications to run on a computational Grid is to assemble them from components - separately deployable units of computation of well-defined functionality. Performance steering is an adaptive process involving run-time adjustment of factors affecting the performance of an application. This paper presents a design for a system capable of steering, towards a minimum run-time, the performance of a component-based application executing in a distributed fashion on a computational Grid. The proposed performance steering system controls the performance of single applications, and the basic design seeks to separate application-level and component-level concerns. The existence of a middleware resource scheduler external to the performance steering system is assumed, and potential problems are discussed. A possible model of operation is given in terms of application and component execution phases. The need for performance prediction capability, and for repositories of application-specific and component-specific performance information, is discussed. An initial implementation is briefly described.