Paper Info
Title
Predicting Failures in Dynamic Composite Services with Proactive Monitoring Technique
Abstract
Web service composition is a new paradigm to develop distributed and reactive software-intensive systems. Predicting and preventing failures of dynamic composite services is an important and challenge problem due to the dynamically evolving attribute. In previous work, we propose CASSANDRA, a novel proactive monitoring technique with the ability to predict and prevent the potential failures happening in dynamic evolvable system. In this paper, we concretize the approach into web service composition field. By combining runtime information and design-time specification of basic services, the approach can analyse future ?-step models ahead of the current service execution states. Then, this model can be used to check with a set of desired properties represented by property sequence chart. Initial experiments on an online medicine case study validates our approach and shows encouraging results.
Year
DOI
Venue
2012
10.1109/SERVICES.2012.52
SERVICES
Keywords
Field
DocType
web service composition,design-time specification,web service composition field,dynamic composite service,initial experiment,challenge problem,current service execution state,dynamic composite services,proactive monitoring,new paradigm,basic service,dynamic evolvable system,predicting failures,predictive models,medicine,software reliability,automata,web services,prediction algorithms
Web service composition,Computer science,Chart,Software quality,Web service,Composite services,Database,WS-Policy
Conference
Citations 
PageRank 
References 
2
0.39
12
Authors
5
Name
Order
Citations
PageRank
Yuelong Zhu1418.39
Xiaobin Wu2987.89
Pengcheng Zhang34010.97
Hareton Leung498265.63
Wenrui Li5588.98