Towards a Framework for Monitoring and Analyzing QoS Metrics of Grid Services

@inproceedings{citeulike:3043013, abstract = {QoS (Quality of Service) parameters play a key role in selecting Grid resources and optimizing resources usage efficiently. Although many works have focused on using QoS metrics, surprisingly few tools support the monitoring and analysis of QoS metrics of Grid services. This paper presents a novel framework which supports the monitoring and analysis of QoS metrics in the Grid. Our approach is that, firstly, we develop a classification of important QoS metrics for Grid services that should be monitored and analyzed. Secondly, sensors are developed to monitor QoS of disparate Grid services by using a peer-to-peer Grid monitoring middleware. The dependencies among Grid services are modeled. Based on that, several techniques are used to analyze QoS metrics of dependent Grid services}, address = {Washington, DC, USA}, author = {Truong, Hong-Linh and Samborski, Robert and Fahringer, Thomas }, booktitle = {E-SCIENCE '06: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing}, citeulike-article-id = {3043013}, doi = {10.1109/E-SCIENCE.2006.142}, isbn = {0769527345}, keywords = {framework, monitoring, qos, ws}, posted-at = {2008-07-25 17:37:38}, priority = {2}, publisher = {IEEE Computer Society}, title = {Towards a Framework for Monitoring and Analyzing QoS Metrics of Grid Services}, url = {http://portal.acm.org/citation.cfm?id=1192634}, year = {2006} }

TY - CONF ID - citeulike:3043013 L3 - citeulike-article-id:3043013 TI - Towards a Framework for Monitoring and Analyzing QoS Metrics of Grid Services T2 - E-SCIENCE '06: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing AD - Washington, DC, USA PB - IEEE Computer Society SN - 0769527345 N2 - QoS (Quality of Service) parameters play a key role in selecting Grid resources and optimizing resources usage efficiently. Although many works have focused on using QoS metrics, surprisingly few tools support the monitoring and analysis of QoS metrics of Grid services. This paper presents a novel framework which supports the monitoring and analysis of QoS metrics in the Grid. Our approach is that, firstly, we develop a classification of important QoS metrics for Grid services that should be monitored and analyzed. Secondly, sensors are developed to monitor QoS of disparate Grid services by using a peer-to-peer Grid monitoring middleware. The dependencies among Grid services are modeled. Based on that, several techniques are used to analyze QoS metrics of dependent Grid services KW - framework KW - monitoring KW - qos KW - ws AU - Truong, Hong-Linh AU - Samborski, Robert AU - Fahringer, Thomas PY - 2006/// UR - http://portal.acm.org/citation.cfm?id=1192634 ER -