Title :
A Web Services and Ontology Based Performance Visualization Framework for Grid Environments
Author :
Lee, Kukjin ; Rover, Diane T.
Author_Institution :
Electr. & Comput. Eng., Iowa State Univ., Ames, IA
Abstract :
A combination of Web services and ontology technologies has a potential to provide a consistent, seamless, and intelligent integration of heterogeneous resources. Using these technologies, we present a new visualization framework which integrates distributed and heterogeneous performance information into system-level visualizations. Most performance visualization tools often are specific to a particular resource at a certain level of the system, possibly with fixed views. Thus, they limit a user´s ability to observe a performance problem associated with multiple resources across platforms and semantic levels. Addressing this issue with Web services and ontology, the new framework allows resources, at different levels, to be viewed and interacted with in a consistent and coordinated manner. This paper describes our framework, focusing on how Web services and ontology help address challenging issues in performance visualization for grid environments
Keywords :
Web services; grid computing; ontologies (artificial intelligence); Web service; distributed performance information; grid environment; heterogeneous performance information; ontology; performance visualization; system-level visualization; Computer languages; Grid computing; Instruments; Monitoring; Ontologies; Performance analysis; Resource management; Visualization; Web services; Wrapping;
Conference_Titel :
Cluster Computing, 2005. IEEE International
Conference_Location :
Burlington, MA
Print_ISBN :
0-7803-9486-0
Electronic_ISBN :
1552-5244
DOI :
10.1109/CLUSTR.2005.347070