Sensor oriented grid monitoring infrastructures for adaptive multi-criteria resource management strategies

Piotr Domagalski, Krzysztof Kurowski, Ariel Oleksiak, Jarek Nabrzyski, Zoltán Balaton, Gábor Gombás, P. Kacsuk

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

Abstract

In a distributed multi-domain environment, where conditions of resources, services as well as applications change dynamically, we need reliable and scalable management capabilities. The quality of management depends on many factors among which distributed measurement and control primitives are particularly important. By exploiting the extensible monitoring infrastructure provided at the middleware level in a grid meta-scheduling service, in particular integration between GRMS (Grid Resource Management System) and Mercury (Grid Monitoring System), it is possible to perform analysis and then make intelligent use of grid resources. These provide the basis to realize dynamic and adaptive resource management strategies, as well as automatic checkpointing, opportunistic migration, rescheduling and policy-driven management, that has attracted attention of many researchers for the last few years. In this paper we present the current status of our ongoing research in this field together with an example of sensor oriented grid monitoring capabilities facilitating efficient remote control of applications and resources.

Original languageEnglish
Title of host publicationIntegrated Research in GRID Computing - CoreGRID Integration Workshop 2005, Selected Papers
PublisherSpringer Science and Business Media, LLC
Pages163-173
Number of pages11
Publication statusPublished - 2007
Event2005 CoreGRID Integration Workshop, CGIW 2005 - Pisa, Italy
Duration: Nov 28 2005Nov 30 2005

Other

Other2005 CoreGRID Integration Workshop, CGIW 2005
CountryItaly
CityPisa
Period11/28/0511/30/05

Fingerprint

Monitoring
Sensors
Remote control
Middleware
Scheduling

Keywords

  • Distributed monitoring
  • Grid resource management
  • Monitoring control
  • Multicriteria analysis

ASJC Scopus subject areas

  • Information Systems

Cite this

Domagalski, P., Kurowski, K., Oleksiak, A., Nabrzyski, J., Balaton, Z., Gombás, G., & Kacsuk, P. (2007). Sensor oriented grid monitoring infrastructures for adaptive multi-criteria resource management strategies. In Integrated Research in GRID Computing - CoreGRID Integration Workshop 2005, Selected Papers (pp. 163-173). Springer Science and Business Media, LLC.

Sensor oriented grid monitoring infrastructures for adaptive multi-criteria resource management strategies. / Domagalski, Piotr; Kurowski, Krzysztof; Oleksiak, Ariel; Nabrzyski, Jarek; Balaton, Zoltán; Gombás, Gábor; Kacsuk, P.

Integrated Research in GRID Computing - CoreGRID Integration Workshop 2005, Selected Papers. Springer Science and Business Media, LLC, 2007. p. 163-173.

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

Domagalski, P, Kurowski, K, Oleksiak, A, Nabrzyski, J, Balaton, Z, Gombás, G & Kacsuk, P 2007, Sensor oriented grid monitoring infrastructures for adaptive multi-criteria resource management strategies. in Integrated Research in GRID Computing - CoreGRID Integration Workshop 2005, Selected Papers. Springer Science and Business Media, LLC, pp. 163-173, 2005 CoreGRID Integration Workshop, CGIW 2005, Pisa, Italy, 11/28/05.
Domagalski P, Kurowski K, Oleksiak A, Nabrzyski J, Balaton Z, Gombás G et al. Sensor oriented grid monitoring infrastructures for adaptive multi-criteria resource management strategies. In Integrated Research in GRID Computing - CoreGRID Integration Workshop 2005, Selected Papers. Springer Science and Business Media, LLC. 2007. p. 163-173
Domagalski, Piotr ; Kurowski, Krzysztof ; Oleksiak, Ariel ; Nabrzyski, Jarek ; Balaton, Zoltán ; Gombás, Gábor ; Kacsuk, P. / Sensor oriented grid monitoring infrastructures for adaptive multi-criteria resource management strategies. Integrated Research in GRID Computing - CoreGRID Integration Workshop 2005, Selected Papers. Springer Science and Business Media, LLC, 2007. pp. 163-173
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