COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Cambridge eScience Centre > Distributed monitoring and information services for the Grid
Distributed monitoring and information services for the GridAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mark Hayes. Monitoring and information services form a key component of any deployed Grid. As testbeds are achieving basic functionality, more and more emphasis is being placed on the discovery of available resources and the monitoring of their status. Current Grid information and monitoring systems are being used in different and more extensive ways than originally planned, and current systems are finding difficulty meeting today’s monitoring challenges. This talk gives an overview of the design and architecture of the Monitoring and Discovery System (MDS4), the information system portion of the Globus Toolkit 4. As part of the WSRF core, every service can participate as a first class member in this broader MDS by publishing data about itself, so monitoring in this environment has changed dramatically. We discuss what monitoring and discovery looks like in a Grid services world, and what future work is needed to make users happy. We also present preliminary performance results for MDS4 This talk is part of the Cambridge eScience Centre series. This talk is included in these lists:Note that ex-directory lists are not shown. |
Other listsCMS Seminars Wolfson College Informal Lunch-time Seminars Cambridge Climate and Sustainability ForumOther talksSimulating wave propagation in elastic systems using the Finite-Difference-Time-Domain method Revolution and Literature: Volodymyr Vynnychenko's Responses to the Ukrainian Revolution of 1918-1920 Nuclear fuel manufacture at Westinghouse Springfields past, present and future THE PYE STORY Well-posedness of weakly hyperbolic systems of PDEs in Gevrey regularity. Validation & testing of novel therapeutic targets to treat osteosarcoma Discovering regulators of insulin output with flies and human islets: implications for diabetes and pancreas cancer 'Cambridge University, Past and Present' DataFlow SuperComputing for BigData Statistical Methods in Pre- and Clinical Drug Development: Tumour Growth-Inhibition Model Example How language variation contributes to reading difficulties and “achievement gaps” |