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  • In this paper, we introduce a continuous double auction method for grid resource allocation in which resources are considered as provider agents and users as consumer agents. In each time step, each provider agent determines its requested value based on its workload and each consumer agent determines its bid value based on two constraints: the remaining time for bidding, and the remaining resources for bidding. We study this method in terms of economic efficiency and system performance. Experimental results show that the proposed method is better than Earliest Deadline First (EDF) method, which is a default strategy in many schedulers.
  • In this paper, we introduce a continuous double auction method for grid resource allocation in which resources are considered as provider agents and users as consumer agents. In each time step, each provider agent determines its requested value based on its workload and each consumer agent determines its bid value based on two constraints: the remaining time for bidding, and the remaining resources for bidding. We study this method in terms of economic efficiency and system performance. Experimental results show that the proposed method is better than Earliest Deadline First (EDF) method, which is a default strategy in many schedulers. (en)
Title
  • A Continuous Double Auction Method for Resource Allocation in Computational Grids
  • A Continuous Double Auction Method for Resource Allocation in Computational Grids (en)
skos:prefLabel
  • A Continuous Double Auction Method for Resource Allocation in Computational Grids
  • A Continuous Double Auction Method for Resource Allocation in Computational Grids (en)
skos:notation
  • RIV/61989100:27240/09:00020954!RIV10-GA0-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1494)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 301215
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/09:00020954
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • grid computing; resource allocation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [501888137EDB]
http://linked.open...v/mistoKonaniAkce
  • Nashville, TN
http://linked.open...i/riv/mistoVydani
  • NEW YORK
http://linked.open...i/riv/nazevZdroje
  • IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN SCHEDULING
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Snášel, Václav
  • Abraham, Ajith
  • Izakian, Hesam
  • Ladani, Behrouz Tork
  • Zamanifar, Kamran
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000268921700005
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
https://schema.org/isbn
  • 978-1-4244-2757-4
http://localhost/t...ganizacniJednotka
  • 27240
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