Reverse combinatorial auction-based protocols for resource selection in grids. (18th December 2008)

• Record Type: Journal Article
• Authors: Radhanikanth, G.V.R.; Narahari, Y.
• Is Part Of: International journal of grid and utility computing. Volume 1:Number 2(2009)
• Page Start: 109
• Page End: 120
• Publication Date: 2008-12-18
• Subjects: grid computing -- auction-based resource allocation -- resource selection -- task-level trading -- resource-level trading -- reverse auctions -- reverse combinatorial auction -- integer linear programming -- cost optimisation; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

Grid computing provides an extremely promising distributed paradigm for executing large-scale resource-intensive applications. Given a distributed pool of resources, a grid user is faced with the problem of selecting an optimal set of resources. We call this problem the resource selection problem and our approach to modelling and solving this problem is through a reverse combinatorial auction. The resource owners submit bids on combinations of resources or tasks in response to the grid user's request for a bundle of resources. The objective of the grid user is to minimise an appropriately defined cost function based on these bids. The resource selection problem therefore becomes the winner determination problem of the reverse combinatorial auction. Two variants of the problem are considered: (1) resource selection with task-level trading and (2) resource selection with resource-level trading. In both the cases, the resource selection problem turns out to be an integer linear programming problem. We have compared the performance of the proposed resource selection protocols against that of a cost optimisation protocol and a time optimisation protocol which are part of the Nimrod-G resource broker. The protocols proposed are found to have superior overall performance in terms of turnaround time and total cost.