Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published July 2005 | Published
Book Section - Chapter Open

JClarens: a Java framework for developing and deploying Web services for grid computing

Abstract

High energy physics (HEP) and other scientific communities have adopted service oriented architectures (SOA) as part of a larger grid computing effort. This effort involves the integration of many legacy applications and programming libraries into a SOA framework. The grid analysis environment (GAE) (Lingen et al., 2004) is such a service oriented architecture based on the Clarens grid services framework (Steenberg et al., 2004) and is being developed as part of the compact muon solenoid (CMS) experiment at the large hadron collider (LHC) at European Laboratory for Particle Physics (CERN). Clarens provides a set of authorization, access control, and discovery services, as well as XMLRPC and SOAP access to all deployed services. Two implementations of the Clarens Web services framework (Python and Java) offer integration possibilities for a wide range of programming languages. This paper describes the Java implementation of the Clarens Web services framework called 'JClarens' and several Web services of interest to the scientific and grid community that have been deployed using JClarens.

Additional Information

© 2005 IEEE. This work is partly supported by the Department of Energy grants: DE-FC02-01ER254559, DE-FG03-92-ER40701, DE-AC02-76CH03000 as part of the Particle Physics DataGrid project; by the National Science Foundation grants: ANI-0230967, PHY-0303841, PHY-0218937, PHY-0122557; and Pakistan HEC funding under Pak-US scientific collaboration initiative. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Energy or the National Science Foundation.

Attached Files

Published - 01530792.pdf

Files

01530792.pdf
Files (292.8 kB)
Name Size Download all
md5:3ee70306b93d6d67411be37763851dce
292.8 kB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 19, 2023