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Heterogeneity and different ownerships of grid computing resources impose complexity in evaluating the market value of these resources. Auction protocols are proposed to meet this challenge efficiently. Auction models are also suitable for achieving better payoff and resource allocation for grid providers. Grid users and providers are usually geographically distributed. The number of users in grid computing could also be very high. Hence, models provide seamless support to multiple users and providers would be useful to promote grid computing. In this paper, we implement a novel First Price Open Cry auction (ascending-bid auction) that supports for multiple users and providers simultaneously. We explain about (i) bundle generation (resource packages by providers), (ii) creating corresponding agents to bundles, (iii) allowing users to choose their suitable bundles, and (iv) clearing bundles through solving winner determination problem. The simulation results predict when and how to map providers’ private values on resource bundles, such that maximum revenue and better utilization of idle resources.
Aminul Haque. 2018. \u201cIterative Combinatorial Auction for Two-Sided Grid Markets: Multiple users and Multiple Providers\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 18 (GJCST Volume 18 Issue B1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 101
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology - B: Cloud & Distributed
Authors: Aminul Haque (PhD/Dr. count: 0)
View Count (all-time): 335
Total Views (Real + Logic): 6154
Total Downloads (simulated): 1519
Publish Date: 2018 06, Fri
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Heterogeneity and different ownerships of grid computing resources impose complexity in evaluating the market value of these resources. Auction protocols are proposed to meet this challenge efficiently. Auction models are also suitable for achieving better payoff and resource allocation for grid providers. Grid users and providers are usually geographically distributed. The number of users in grid computing could also be very high. Hence, models provide seamless support to multiple users and providers would be useful to promote grid computing. In this paper, we implement a novel First Price Open Cry auction (ascending-bid auction) that supports for multiple users and providers simultaneously. We explain about (i) bundle generation (resource packages by providers), (ii) creating corresponding agents to bundles, (iii) allowing users to choose their suitable bundles, and (iv) clearing bundles through solving winner determination problem. The simulation results predict when and how to map providers’ private values on resource bundles, such that maximum revenue and better utilization of idle resources.
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