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A Time Optimization Algorithm for Scheduling Bag-of-Task Applications in Auction-based Proportional Share Systems
Rio de Janeiro, Brazil October 24-October 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CAHPC.2005.917th International Symposium on Compu ...
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Anthony Sulistio, University of Melbourne, Australia
Rajkumar Buyya, University of Melbourne, Australia

Grid and peer-to-peer (P2P) network technologies enable aggregation of distributed resources for solving large-scale and computationally-intensive applications. These technologies are well-suited for Bag-of-Tasks (BoT) applications, because each application consists of many parallel and independent tasks. With multiple users competing for the same resources, the key challenge is to finish a user application within a specified deadline.

In this paper, we propose a time optimization algorithm that schedules a user application on auction-based resource allocation systems. These allocation systems, which are based on proportional share, allow users to bid higher in order to gain more resource shares. Therefore, this algorithm adjusts a user bid periodically on these systems in order to finish the application on time.

Citation:
Anthony Sulistio, Rajkumar Buyya, "A Time Optimization Algorithm for Scheduling Bag-of-Task Applications in Auction-based Proportional Share Systems," sbac-pad, pp.235-242, 17th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'05), 2005
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