Title
Performance evaluation for self-healing distributed services and fault detection mechanisms
Abstract
Distributed applications, based on internet worked services, provide users with more flexible and varied services and developers with the ability to incorporate a vast array of services into their applications. Such applications are difficult to develop and manage due to their inherent dynamics and heterogeneity. One desirable characteristic of distributed applications is self-healing, or the ability to reconfigure themselves "on the fly" to circumvent failure. In this paper, we discuss our middleware for developing self-healing distributed applications. We present the model we adopted for self-healing behaviour and show as case study the reconfiguration of an application that uses networked sorting services and an application for networked home appliances. We discuss the performance benefits of self-healing property by analysing the elapsed time for automatic reconfiguration without user intervention. Our results show that a distributed application developed with our self-healing middleware will be able to perform smoothly by quickly reconfiguring its services upon detection of failure. We also consider the performance impact of a number of fault-detection mechanisms, including pre-emptive detection and on-use detection.
Year
DOI
Venue
2006
10.1016/j.jcss.2005.12.008
J. Comput. Syst. Sci.
Keywords
Field
DocType
pre-emptive detection,networked home appliance,performance evaluation,fault-detection,self-healing middleware,self-healing property,fault–recovery,middleware,fault detection mechanism,self-healing behaviour,self-healing,case study,distributed systems,performance benefit,automatic reconfiguration,performance impact,on-use detection,autonomic computing,fault detection,distributed application,service provider,distributed system
Middleware,Self-healing,Autonomic computing,Middleware (distributed applications),Fault detection and isolation,Sorting,Mathematics,Control reconfiguration,The Internet,Distributed computing
Journal
Volume
Issue
ISSN
72
7
Journal of Computer and System Sciences
Citations 
PageRank 
References 
4
0.52
5
Authors
3
Name
Order
Citations
PageRank
E. Grishikashvili Pereira140.85
Pereira, R.2142.85
A. Taleb-Bendiab338348.64