Title
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
Abstract
Wide-area network applications are increasingly being built using component-based models, which enable integration of diverse functionality in modules distributed across the network. In such models, dynamic component selection and deployment enables an application to flexibly adapt to changing client and network characteristics, achieve load-balancing, and satisfy QoS requirements. Unfortunately, the problem of finding a valid component deployment is hard because one needs to decide on the set of components while satisfying various constraints resulting from application semantic requirements, network resource limitations, and interactions between the two.In this paper, we propose a general model for the component placement problem and present an algorithm for it, which is based on AI planning algorithms. We validate the effectiveness of our algorithm by demonstrating its scalability with respect to network size and number of components in the context of deployments generated for two example applications 驴 a security-sensitive mail service, and a webcast service 驴 in a variety of network environments.
Year
DOI
Venue
2003
10.1109/IPDPS.2003.1213075
IPDPS
Keywords
Field
DocType
network environment,ai planning techniques,dynamic component selection,valid component deployment,component placement problem,network size,constrained component deployment,application semantic requirement,wide-area networks,network resource limitation,ai planning algorithm,network characteristic,wide-area network application,load balance,satisfiability,scalability,computer science,artificial intelligence,grid computing,mathematical model,application software,distributed computing,intelligent networks,bandwidth,ai planning,object oriented programming,concurrent computing,distributed programming
Component placement,Grid computing,Software deployment,Computer science,Parallel computing,Quality of service,Intelligent Network,Application software,Automated planning and scheduling,Distributed computing,Scalability
Conference
ISBN
Citations 
PageRank 
0-7695-1926-1
40
2.43
References 
Authors
19
3
Name
Order
Citations
PageRank
Tatiana Kichkaylo1816.30
Anca Ivan21346.89
Vijay Karamcheti364667.03