IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i10p1550147716673930.html

Online auction-based resource scheduling in grid computing networks

Author

Listed:
  • Lili Ding
  • Long Chang
  • Lei Wang

Abstract

The aim of this article is to introduce a novel auction-based algorithm for grid computing wireless networks and resolve some incompetence with dynamic mechanisms. We develop a reverse online auction method to allocate grid resources, where the grid resource providers arrive dynamically and user broker has to make a multi-attribute decision whether to sell tasks or not before the end of current round. In our approach, a trade-some-with-forecast algorithm is proposed to help the user broker to utilize his forecast ability to allocate the grid resource in an online setting. Furthermore, two reverse online auction-based protocols are presented to demonstrate the resource scheduling in grid computing wireless networks. Experiments show that the reverse online auction-based with forecast protocol has better performance in comparison with the reverse online auction-based protocol. It is efficient in terms of auction stages, user satisfaction, and successful forecast.

Suggested Citation

  • Lili Ding & Long Chang & Lei Wang, 2016. "Online auction-based resource scheduling in grid computing networks," International Journal of Distributed Sensor Networks, , vol. 12(10), pages 15501477166, October.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:10:p:1550147716673930
    DOI: 10.1177/1550147716673930
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147716673930
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147716673930?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yongyang Cai & Kenneth Judd & Greg Thain & Stephen Wright, 2015. "Solving Dynamic Programming Problems on a Computational Grid," Computational Economics, Springer;Society for Computational Economics, vol. 45(2), pages 261-284, February.
    2. Ravi Bapna & Sanjukta Das & Robert Day & Robert Garfinkel & Jan Stallaert, 2011. "A Clock-and-Offer Auction Market for Grid Resources When Bidders Face Stochastic Computational Needs," INFORMS Journal on Computing, INFORMS, vol. 23(4), pages 630-647, November.
    3. Schnizler, Bjorn & Neumann, Dirk & Veit, Daniel & Weinhardt, Christof, 2008. "Trading grid services - a multi-attribute combinatorial approach," European Journal of Operational Research, Elsevier, vol. 187(3), pages 943-961, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schellhorn, Henry, 2011. "A trading mechanism contingent on several indices," European Journal of Operational Research, Elsevier, vol. 213(3), pages 551-558, September.
    2. Peter Schober & Julian Valentin & Dirk Pflüger, 2022. "Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 185-224, January.
    3. Lilia Maliar, 2015. "Assessing gains from parallel computation on a supercomputer," Economics Bulletin, AccessEcon, vol. 35(1), pages 159-167.
    4. Ebrahim Behrouzian Nejad & Rezvan Ali poorsabzevari, 2016. "A new method of winner determination for economic resource allocation in cloud computing systems," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(1), pages 12-17.
    5. Tobias Widmer & Paul Karaenke & Vijayan Sugumaran, 2021. "Two‐sided service markets: Effects of quality differentiation on market efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 588-604, April.
    6. Yi-Ting Chen & Edward W. Sun & Yi-Bing Lin, 2020. "Machine learning with parallel neural networks for analyzing and forecasting electricity demand," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 569-597, August.
    7. Sanjukta Das & Anna Ye Du & Ram Gopal & R. Ramesh, 2011. "Risk Management and Optimal Pricing in Online Storage Grids," Information Systems Research, INFORMS, vol. 22(4), pages 756-773, December.
    8. Cerqueti, Roy & Quaranta, Anna Grazia & Ventura, Marco, 2016. "Innovation, imitation and policy inaction," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 22-30.
    9. Yongyang Cai & Thomas S. Lontzek, 2019. "The Social Cost of Carbon with Economic and Climate Risks," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2684-2734.
    10. De Liu & Adib Bagh, 2020. "Preserving Bidder Privacy in Assignment Auctions: Design and Measurement," Management Science, INFORMS, vol. 66(7), pages 3162-3182, July.
    11. Avenali, Alessandro, 2009. "Exploring the VCG mechanism in combinatorial auctions: The threshold revenue and the threshold-price rule," European Journal of Operational Research, Elsevier, vol. 199(1), pages 262-275, November.
    12. Anna Ye Du & Sanjukta Das & R. Ramesh, 2013. "Efficient Risk Hedging by Dynamic Forward Pricing: A Study in Cloud Computing," INFORMS Journal on Computing, INFORMS, vol. 25(4), pages 625-642, November.
    13. 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.
    14. Alessandro Avenali & Giorgio Matteucci & Fabio Nonino, 2010. "Outsourcing of Facility Management Activities and Procurement Design," DIS Technical Reports 2010-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    15. Kumar, Subodha & Dutta, Kaushik & Mookerjee, Vijay, 2009. "Maximizing business value by optimal assignment of jobs to resources in grid computing," European Journal of Operational Research, Elsevier, vol. 194(3), pages 856-872, May.
    16. Pellegrini, Paola & Castelli, Lorenzo & Pesenti, Raffaele, 2012. "Secondary trading of airport slots as a combinatorial exchange," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1009-1022.
    17. Cai, Yongyang & Brock, William & Xepapadeas, Anastasios, 2016. "Climate Change Economics and Heat Transport across the Globe: Spatial-DSICE," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 251833, Agricultural and Applied Economics Association.
    18. 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.
    19. Rongju Zhang & Nicolas Langren'e & Yu Tian & Zili Zhu & Fima Klebaner & Kais Hamza, 2016. "Dynamic portfolio optimization with liquidity cost and market impact: a simulation-and-regression approach," Papers 1610.07694, arXiv.org, revised Jun 2019.
    20. Widmer, Tobias & Leukel, Joerg, 2016. "Efficiency of electronic service allocation with privately known quality," European Journal of Operational Research, Elsevier, vol. 255(3), pages 856-868.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:12:y:2016:i:10:p:1550147716673930. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.