TY - GEN
T1 - K-WfGrid distributed monitoring and performance analysis services for workflows in the grid
AU - Truong, Hong Linh
AU - Brunner, Peter
AU - Fahringer, Thomas
AU - Nerieri, Francesco
AU - Samborski, Robert
AU - Baliś, Bartosz
AU - Bubak, Marian
AU - Rozkwitalski, Kuba
PY - 2006
Y1 - 2006
N2 - Grid workflows for e-science are complex and prone to failures. However, there is a lack of performance monitoring and analysis tools for supporting the user as well as workflow middleware to monitor and understand the performance of complex interactions among Grid applications, middleware and resources involved in workflow executions. In this paper, we present a novel integrated environment which supports online performance monitoring and analysis of service-oriented workflows. Performance monitoring and analysis of Grid workflows and infrastructure is conducted through a Web portal. Performance overheads of Grid workflows are analyzed in a systematic way, and performance problems can be detected during runtime. Moreover, we present several languages that alleviate the interaction among performance monitoring and analysis services and their clients. Our system has been integrated into the K-WfGrid knowledge-based workflow system. It plays a key role in supporting the user and developer to analyze their workflows and in providing performance knowledge for constructing and executing workflows.
AB - Grid workflows for e-science are complex and prone to failures. However, there is a lack of performance monitoring and analysis tools for supporting the user as well as workflow middleware to monitor and understand the performance of complex interactions among Grid applications, middleware and resources involved in workflow executions. In this paper, we present a novel integrated environment which supports online performance monitoring and analysis of service-oriented workflows. Performance monitoring and analysis of Grid workflows and infrastructure is conducted through a Web portal. Performance overheads of Grid workflows are analyzed in a systematic way, and performance problems can be detected during runtime. Moreover, we present several languages that alleviate the interaction among performance monitoring and analysis services and their clients. Our system has been integrated into the K-WfGrid knowledge-based workflow system. It plays a key role in supporting the user and developer to analyze their workflows and in providing performance knowledge for constructing and executing workflows.
UR - http://www.scopus.com/inward/record.url?scp=38449103110&partnerID=8YFLogxK
U2 - 10.1109/E-SCIENCE.2006.261099
DO - 10.1109/E-SCIENCE.2006.261099
M3 - Conference contribution
AN - SCOPUS:38449103110
SN - 0769527345
SN - 9780769527345
T3 - e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing
BT - e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing
Y2 - 4 December 2006 through 6 December 2006
ER -