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Scalable grid resource trading with greedy heuristics
Buss, Georg
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Lee, Kevin
;
Veit, Daniel J.
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DOI:
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https://doi.org/10.1109/CISIS.2010.146
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URL:
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http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
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Additional URL:
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https://core.ac.uk/reader/30641870
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Document Type:
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Conference or workshop publication
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Year of publication:
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2010
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Book title:
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2010 International Conference on Complex, Intelligent and Software Intensive Systems : (CISIS 2010) ; Krakow, Poland, 15 - 18 February 2010 : including workshop papers
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Page range:
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427-432
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Conference title:
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CISIS 2010
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Location of the conference venue:
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Krakow, Poland
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Date of the conference:
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15.-18.02.2010
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Publisher:
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Barolli, Leonard
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Place of publication:
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Washington, DC
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Publishing house:
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IEEE Computer Soc.
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ISBN:
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978-1-424-45917-9 , 978-0-7695-3967-6 , 978-1-4244-5918-6
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Publication language:
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English
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Institution:
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Business School > Dieter-Schwarz-Stiftungslehrstuhl für ABWL, E-Business u. E-Government (Veit -2013)
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Subject:
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330 Economics
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Keywords (English):
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heuristics , grid , trading , markets , allocation , Algorithm design and analysis , Approximation algorithms , business , commerce , Competitive intelligence , Computer industry , Electronic government , greedy algorithms , greedy heuristics
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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