DocumentCode :
246335
Title :
Self-Adaptive Resilient Service Composition
Author :
Torres, Mario Henrique Cruz ; Holvoet, Tom
Author_Institution :
Dept. of Comput. Sci., KU Leuven, Leuven, Belgium
fYear :
2014
fDate :
8-12 Sept. 2014
Firstpage :
141
Lastpage :
150
Abstract :
One aspect that permeates all large scale systems is the occurrence of failures. Continually, on any data center, failures are happening, either caused by malfunctioning disks, memories, network connections, or software bugs. Large scale failures - possibly caused be a ripple effect of smaller failures - are obviously even worse. The fact that failures are extremely hard or even impossible to predict makes them particularly challenging to cope with. A better alternative to predicting failures is creating systems that can cope with failures and autonomously adapt. In this paper, we investigate a decentralized self-adaptive approach to a resilient system for service composition. Our approach is based on an agent coordination mechanism known as "delegate MAS", which is particularly suited for large-scale coordination of systems. We thoroughly evaluate this approach through large and huge scale experiments of composite services. The results from these experiments show that it is possible to create service compositions which are resilient to large scale failures.
Keywords :
computer centres; failure analysis; fault tolerant computing; large-scale systems; multi-agent systems; agent coordination mechanism; data center; decentralized self-adaptive approach; delegate MAS; large scale failure; large scale system; large-scale system coordination; malfunctioning disk; memory; network connection; resilient system; ripple effect; self-adaptive resilient service composition; software bug; Abstracts; Availability; Computer crashes; Large-scale systems; Probability distribution; Production facilities; Quality of service; cloud computing; coordination; decentralized systems; distributed-systems; mas; resilience; self-adaptation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Autonomic Computing (ICCAC), 2014 International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/ICCAC.2014.33
Filename :
7024055
Link To Document :
بازگشت