Scalable Grid Resource Trading with Greedy Heuristics


Veit, Daniel J. ; Lee, Kevin ; Buss, Georg



URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
Document Type: Conference or workshop publication
Year of publication: 2010
Book title: 2010 International Conference on Complex, Intelligent and Software Intensive Systems
Page range: 427-432
Conference title: CISIS 2010
Location of the conference venue: Krakow, Poland
Date of the conference: 15-18 February 2010
Author/Publisher of the book
(only the first ones mentioned)
:
Barolli, Leonard
Place of publication: Washington, DC
Publishing house: IEEE Computer Soc.
ISBN: 978-1-424-45917-9, 978-0-7695-3967-6
Publication language: English
Institution: Business School > Dieter-Schwarz-Stiftungslehrstuhl für ABWL, E-Business u. E-Government (Veit -2013)
Subject: 330 Economics
Keywords (English): heuristics , grid , trading , markets , allocation , Algorithm design and analysis , Approximation algorithms , business , commerce , Competitive intelligence , Computer industry , Electronic government , greedy algorithms , greedy heuristics
Abstract: As Grid infrastructures become more widely used by the academic and commercial world, the problem of resource allocation increases in complexity. Resource trading markets are one mechanism that allows many resource owners and resource consumers to trade. To perform efficiently trading markets for grids require approaches to match consumers and producers. Solutions for optimal and non-optimal resource trading exist, but fail to scale effectively to meet the challenges of large numbers of traders. This paper first defines the problem of scalable resource trading in grids before describing and evaluating greedy approaches for scalability.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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