Self-adaptive and self-optimising resource monitoring for dynamic grid environments

Hélène N.Lim Choi Keung, Justin R.D. Dyson, Stephen A. Jarvis, Graham R. Nudd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

As the number of resources on the Grid tends to be very dynamic and potentially large, it becomes increasingly important to discover and monitor them efficiently. This paper concentrates on the scalability, reliability and performance of Grid discovery and monitoring services, using autonomous concepts. Application scenarios are developed where the notification rate of data is dynamically modified, based on the overhead costs at the MDS3 Index Service. Previously collected performance benchmarks are also utilised to implement two self-adaptive algorithms which are the basis of the scenarios. The objective of these feedback algorithms is to sustain an adequate level of service for clients while minimising costs at the MDS. Different types of workload models are also used to assess the efficiency of the algorithms. Experimental results are subsequently shown when varying notification update mechanisms and decision parameters are used, ensuring that the MDS is scalable with accruing concurrent clients. Therefore, a policy is proposed where the notification rate is computed dynamically, thereby creating an autonomous Grid monitoring service.

Original languageEnglish
Title of host publicationProceedings - 15th International Workshop on Database and Expert Systems Applications
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages689-693
Number of pages5
ISBN (Print)0769521959, 9780769521954
DOIs
Publication statusPublished - 2004
EventProceedings - 15th International Workshop on Database and Expert Systems Applications - Zaragoza, Spain
Duration: 30 Aug 20043 Sep 2004

Publication series

NameInternational Conference on Database and Expert Systems Applications - DEXA
Volume15

Conference

ConferenceProceedings - 15th International Workshop on Database and Expert Systems Applications
Country/TerritorySpain
CityZaragoza
Period30/08/043/09/04

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Self-adaptive and self-optimising resource monitoring for dynamic grid environments'. Together they form a unique fingerprint.

Cite this