Paper Info
Title
Configurable Distributed Retrieval of Scientific Data
Abstract
The recent boom of new application categories, such as multi-media systems, groupware, and the wide area distribution of information across the Internet , has led to further demands for flexibility in software. This paper presents a framework (COBS-OM) for building configurable parallel and distributed programs where type-dependent object functionality is explicitly separated from its characteristics subject to configuration. COBS-OM supports a programming model where dealing with configuration issues is a central part of the design. It provides abstractions for incorporating flexibility into a distributed application in a methodical fashion. In addition, performance issues are addressed by considering runtime execution adjustments of the basic mechanisms that influence them. We introduce the basic elements of the model. We also present Data Object a complex configurable object that provides flexible access to data output from a high performance parallel and distributed scientific application.
Year
DOI
Venue
1998
10.1109/CDS.1998.675765
CDS
Keywords
Field
DocType
scientific data,object oriented programming,distributed objects,computer science,parallel programming,collaborative software,distributed databases,information retrieval,groupware,performance,object model,application software,abstractions,objective function,programming model,internet
Distributed object,Programming paradigm,Software engineering,Object-oriented programming,Computer science,Collaborative software,Object model,Real-time computing,Distributed database,Application software,Data access,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-8186-8451-8
2
0.36
References 
Authors
8
3
Name
Order
Citations
PageRank
Dilma M. Silva120.36
K. Schwan220.36
Greg Eisenhauer386667.45