Title
Partitionable services: A framework for seamlessly adapting distributed applications to heterogeneous environments
Abstract
Several recently proposed infrastructures permit client applications to interact with distributed network-accessible services by simply "plugging in" into a substrate that provides essential functionality, such as naming, discovery, and multi-protocol binding. However much work remains before the interaction can be considered truly seamless in the sense of adapting to the characteristics of the heterogeneous environments in which clients and services operate. This paper describes a novel approach for addressing this shortcoming: the partitionable services framework, which enables services to be flexibly assembled from multiple components, and facilitates transparent migration and replication of these components at locations closer to the client while still appearing as a single monolithic service. The framework consists of three pieces: (1) declarative specification of services in terms of constituent components; (2) run-time support for dynamic component deployment; and (3) planning policies, which steer the deployment to accomodate underlying environment characteristics. We demonstrate the salient features of the framework and highlight its usability and performance benefits with a case study involving a security-sensitive mail service.
Year
DOI
Venue
2002
10.1109/HPDC.2002.1029908
HPDC
Keywords
Field
DocType
client-server systems,parallel programming,client applications,client programs,clients,distributed,distributed applications,dynamic component deployment,heterogeneous environments,middleware infrastructures,partitionable services framework,security-sensitive mail service
Middleware,Services computing,Software deployment,Authentication,Computer science,Usability,Client server systems,Real-time computing,Application software,Distributed computing,Salient
Conference
ISSN
ISBN
Citations 
1082-8907
0-7695-1686-6
31
PageRank 
References 
Authors
2.56
12
4
Name
Order
Citations
PageRank
Anca-andreea Ivan121916.92
Josh Harman2312.56
Michael Allen3312.56
Vijay Karamcheti464667.03