An Adaptive High-Performance Service Architecture

Authors:
Jesper Andersson;Morgan Ericsson;Welf Löwe
Affiliations:
Department of Computer Science, School of Mathematics and Systems Engineering, Växjö University, S-351 95 Växjö, Sweden;Department of Computer Science, School of Mathematics and Systems Engineering, Växjö University, S-351 95 Växjö, Sweden;Department of Computer Science, School of Mathematics and Systems Engineering, Växjö University, S-351 95 Växjö, Sweden
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2005

Citing 7
Cited 3

LogP: towards a realistic model of parallel computation

PPOPP '93 Proceedings of the fourth ACM SIGPLAN symposium on Principles and practice of parallel programming
Upper time bounds for executing PRAM-programs on the LogP-machine

ICS '95 Proceedings of the 9th international conference on Supercomputing
Software architecture: perspectives on an emerging discipline

Software architecture: perspectives on an emerging discipline
Software architecture in practice

Software architecture in practice
Scheduling balanced task-graphs to LogP-machines

Parallel Computing - Special issue on new trends on scheduling in parallel and distributed systems
Model Driven Architecture: Applying MDA to Enterprise Computing

Model Driven Architecture: Applying MDA to Enterprise Computing
An Approach to Machine-Independent Parallel Programming

CONPAR 94 - VAPP VI Proceedings of the Third Joint International Conference on Vector and Parallel Processing: Parallel Processing

Modeling Dimensions of Self-Adaptive Software Systems

Software Engineering for Self-Adaptive Systems
Reconfigurable scientific applications on GRID services

EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
SeaDoc: a self-adaptive document link provision system for framework extension tasks

Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces an approach to dynamic software composition in the context of scientific computing where high demands performance seem to prevent such flexible solutions. In our concrete however, dynamic software composition is rather a way to high-performance than an obstacle to it. We achieve this by combining dynamic architectures and task graph scheduling.