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Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System

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  • Kevin Lai
  • Lars Rasmusson

Abstract

Distributed clusters like the Grid and PlanetLab enable the same statistical multiplexing efficiency gains for computing as the Internet provides for networking. One major challenge is allocating resources in an economically efficient and low-latency way. A common solution is proportional share, where users each get resources in proportion to their predefined weights. However, this does not allow users to differentiate the value of their jobs. This leads to economic inefficiency. In contrast, systems that require reservations impose a high latency (typically minutes to hours) to acquire resources. We present Tycoon, a market based distributed resource allocation system based on proportional share. The key advantages of Tycoon are that it allows users to differentiate the value of their jobs, its resource acquisition latency is limited only by communication delays, and it imposes no manual bidding overhead on users. We present experimental results using a prototype implementation of our design

Suggested Citation

  • Kevin Lai & Lars Rasmusson, 2005. "Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System," Computing in Economics and Finance 2005 6, Society for Computational Economics.
    • Handle: RePEc:sce:scecf5:6
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    Citations

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    Cited by:

    1. Bernardo A. Huberman & Sitaram Asur, 2016. "BidPacket: trading bandwidth in public spaces," Netnomics, Springer, vol. 17(3), pages 223-232, November.
    2. Stößer, Jochen & Neumann, Dirk & Weinhardt, Christof, 2010. "Market-based pricing in grids: On strategic manipulation and computational cost," European Journal of Operational Research, Elsevier, vol. 203(2), pages 464-475, June.
    3. Jorn Altmann & Costas Courcoubetis & Marcel Risch, 2010. "A Marketplace and its Market Mechanism for Trading Commoditized Computing Resources," TEMEP Discussion Papers 201059, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2010.
    4. Marcel Risch & Jorn Altmann, 2009. "Enabling Open Cloud Markets Through WS-Agreement Extensions," TEMEP Discussion Papers 200920, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2009.
    5. Marcel Risch & Ivona Brandic & Jorn Altmann, 2009. "Using SLA Mapping to Increase Market Liquidity," TEMEP Discussion Papers 200937, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2009.
    6. Marcel Risch & Jorn Altmann & Li Guo & Alan Fleming & Costas Courcoubetis, 2010. "The GridEcon Platform: A Business Scenario Testbed for Commercial Cloud Services," TEMEP Discussion Papers 201039, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    7. Mohammad Mehedi Hassan & M. Shamim Hossain & A. M. Jehad Sarkar & Eui-Nam Huh, 2014. "Cooperative game-based distributed resource allocation in horizontal dynamic cloud federation platform," Information Systems Frontiers, Springer, vol. 16(4), pages 523-542, September.

    More about this item

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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