File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A performance study of clustering web application servers with Distributed JVM

TitleA performance study of clustering web application servers with Distributed JVM
Authors
Lam, KTLuo, YWang, CL
Issue Date2008
PublisherIEEE.
Citation
Proceedings Of The International Conference On Parallel And Distributed Systems - Icpads, 2008, p. 328-335 How to Cite?
DOI: http://dx.doi.org/10.1109/ICPADS.2008.100
AbstractA Distributed Java Virtual Machine (DJVM) is a cluster-wide set of extended JVMs that enables parallel execution of a multithreaded Java application. It has proven effectiveness for scaling scientific applications. However, leveraging DJVMs to cluster real-life web applications with commercial server workloads has not been well studied. This paper presents a new generic clustering approach based on DJVMs that promote user transparency and global object sharing for web application servers. We port Apache Tomcat to our JESSICA2 DJVM and study the performance of a wide range of web applications running on the server. Our experimental results show that this approach can scale better than the traditional clustering approach, particularly for cache-centric web applications. © 2008 IEEE.
DescriptionThe 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS'08)
Persistent Identifierhttp://hdl.handle.net/10722/61149
ISSN
1521-9097
2020 SCImago Journal Rankings: 0.212
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLam, KTen_HK
dc.contributor.authorLuo, Yen_HK
dc.contributor.authorWang, CLen_HK
dc.date.accessioned2010-07-13T03:31:58Z-
dc.date.available2010-07-13T03:31:58Z-
dc.date.issued2008en_HK
dc.identifier.citationProceedings Of The International Conference On Parallel And Distributed Systems - Icpads, 2008, p. 328-335en_HK
dc.identifier.issn1521-9097en_HK
dc.identifier.urihttp://hdl.handle.net/10722/61149-
dc.descriptionThe 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS'08)en_HK
dc.description.abstractA Distributed Java Virtual Machine (DJVM) is a cluster-wide set of extended JVMs that enables parallel execution of a multithreaded Java application. It has proven effectiveness for scaling scientific applications. However, leveraging DJVMs to cluster real-life web applications with commercial server workloads has not been well studied. This paper presents a new generic clustering approach based on DJVMs that promote user transparency and global object sharing for web application servers. We port Apache Tomcat to our JESSICA2 DJVM and study the performance of a wide range of web applications running on the server. Our experimental results show that this approach can scale better than the traditional clustering approach, particularly for cache-centric web applications. © 2008 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings of the International Conference on Parallel and Distributed Systems - ICPADSen_HK
dc.rights©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleA performance study of clustering web application servers with Distributed JVMen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWang, CL:clwang@cs.hku.hken_HK
dc.identifier.authorityWang, CL=rp00183en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICPADS.2008.100en_HK
dc.identifier.scopuseid_2-s2.0-60649108449en_HK
dc.identifier.hkuros149533en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-60649108449&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage328en_HK
dc.identifier.epage335en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLam, KT=26031004100en_HK
dc.identifier.scopusauthoridLuo, Y=35759395100en_HK
dc.identifier.scopusauthoridWang, CL=7501646188en_HK
dc.identifier.issnl1521-9097-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats