The Community for Technology Leaders
RSS Icon
Issue No.02 - July-December (2013 vol.1)
pp: 129-141
Sharrukh Zaman , Wayne State University, Detroit
Daniel Grosu , Wayne State University, Detroit
Cloud computing providers provision their resources into different types of virtual machine (VM) instances that are then allocated to the users for specific periods of time. The allocation of VM instances to users is usually determined through fixed-price allocation mechanisms that cannot guarantee an economically efficient allocation and the maximization of cloud provider's revenue. A better alternative would be to use combinatorial auction-based resource allocation mechanisms. This argument is supported by the economic theory; when the auction costs are low, as is the case in the context of cloud computing, auctions are especially efficient over the fixed-price markets because products are matched to customers having the highest valuation. The existing combinatorial auction-based VM allocation mechanisms do not take into account the user's demand when making provisioning decisions, that is, they assume that the VM instances are statically provisioned. We design an auction-based mechanism for dynamic VM provisioning and allocation that takes into account the user demand, when making provisioning decisions. We prove that our mechanism is truthful (i.e., a user maximizes its utility only by bidding its true valuation for the requested bundle of VMs). We evaluate the proposed mechanism by performing extensive simulation experiments using real workload traces. The experiments show that the proposed mechanism yields higher revenue for the cloud provider and improves the utilization of cloud resources.
Resource management, Dynamic scheduling, Cost accounting, Computational modeling, Virtual machining, Cloud computing,combinatorial auctions, Cloud computing, VM allocation, VM provisioning, dynamic resource configuration
Sharrukh Zaman, Daniel Grosu, "A Combinatorial Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in Clouds", IEEE Transactions on Cloud Computing, vol.1, no. 2, pp. 129-141, July-December 2013, doi:10.1109/TCC.2013.9
[1] Microsoft, "Windows Azure Platform," http://www. microsoft.comwindowsazure/, 2013.
[2] Amazon, "Amazon Elastic Compute Cloud (Amazon EC2),", 2013.
[3] R. Wang, "Auctions versus Posted-Price Selling," The Am. Economic Rev., vol. 83, no. 4, pp. 838-851, 1993.
[4] N. Nisan, T. Roughgarden, E. Tardos, and V.V. Vazirani, Algorithmic Game Theory. Cambridge Univ. Press, 2007.
[5] S. Zaman and D. Grosu, "Combinatorial Auction-Based Allocation of Virtual Machine Instances in Clouds," Proc. IEEE Second Int'l Conf. Cloud Comp. Technology and Science, pp. 127-134, 2010.
[6] D.G. Feitelson, "Parallel Workloads Archive: Logs," http://www. workloadlogs.html, 2013.
[7] Amazon, "Amazon EC2 Instance Types," com/ec2instance-types /, 2013.
[8] P. Shivam, A. Demberel, P. Gunda, D. Irwin, L. Grit, A. Yumerefendi, S. Babu, and J. Chase, "Automated and On-Demand Provisioning of Virtual Machines for Database Applications," Proc. ACM SIGMOD Int'l Conf. Management of Data, pp. 1079-1081, 2007.
[9] A. Quiroz, H. Kim, M. Parashar, N. Gnanasambandam, and N. Sharma, "Towards Autonomic Workload Provisioning for Enterprise Grids and Clouds," Proc. IEEE/ACM 10th Int'l Conf. Grid Computing, pp. 50-57, 2009.
[10] C. Vecchiola, R.N. Calheiros, D. Karunamoorthy, and R. Buyya, "Deadline-Driven Provisioning of Resources for Scientific Applications in Hybrid Clouds with Aneka," Future Generation Computer Systems, vol. 28, pp. 58-65, 2012.
[11] R. Wolski, J.S. Plank, J. Brevik, and T. Bryan, "Analyzing Market-Based Resource Allocation Strategies for the Computational Grid," The Int'l J. High Performance Computing Applications, vol. 15, no. 3, pp. 258-281, 2001.
[12] A. Das and D. Grosu, "Combinatorial Auction-Based Protocols for Resource Allocation in Grids," Proc. 19th Int'l Parallel and Distributed Processing Symp., Sixth Workshop Parallel and Distributed Scientific and Eng. Computing, 2005.
[13] H. Wang, Q. Jing, R. Chen, B. He, Z. Qian, and L. Zhou, "Distributed Systems Meet Economics: Pricing in the Cloud," Proc. Second USENIX Workshop Hot Topics in Cloud Computing, 2010.
[14] J. Altmann, C. Courcoubetis, G.D. Stamoulis, M. Dramitinos, T. Rayna, M. Risch, and C. Bannink, "GridEcon: A Market Place for Computing Resources," Proc. Workshop Grid Economics and Business Models, pp. 185-196, 2008.
[15] M. Risch, J. Altmann, L. Guo, A. Fleming, and C. Courcoubetis, "The GridEcon Platform: A Business Scenario Testbed for Commercial Cloud Services," Proc. Workshop Grid Economics and Business Models, pp. 46-59, 2009.
[16] Amazon, "Amazon EC2 Spot Instances," com/ec2spot-instances /, 2013.
[17] O.A. Ben-Yehuda, M. Ben-Yehuda, A. Schuster, and D. Tsafrir, "Deconstructing Amazon Ec2 Spot Instance Pricing," Proc. IEEE Third Int'l Conf. Cloud Computing Technology and Science, 2011.
[18] S. Wee, "Debunking Real-Time Pricing in Cloud Computing," Proc. IEEE/ACM 11th Int'l Symp. Cluster, Cloud and Grid Computing, pp. 585-590, 2011,
[19] Q. Zhang, Q. Zhu, and R. Boutaba, "Dynamic Resource Allocation for Spot Markets in Cloud Computing Environments," Proc. IEEE Fourth Int'l Conf. Utility and Cloud Computing, pp. 178-185, 2011.
[20] M.H. Rothkopf, A. Pekec, and R.M. Harstad, "Computationally Manageable Combinatorial Auctions," Management Science, vol. 44, no. 8, pp. 1131-1147, 1998.
[21] T. Sandholm, "Algorithm for Optimal Winner Determination in Combinatorial Auctions," Artificial Intelligence, vol. 135, nos. 1/2, pp. 1-54, 2002.
[22] E. Zurel and N. Nisan, "An Efficient Approximate Allocation Algorithm for Combinatorial Auctions," Proc. Third ACM Conf. Electronic Commerce, pp. 125-136, 2001.
[23] P. Cramton, Y. Shoham, and R. Steinberg, Combinatorial Auctions. MIT Press, 2005.
[24] D. Lehmann, L.I. O'Callaghan, and Y. Shoham, "Truth Revelation in Approximately Efficient Combinatorial Auctions," J. the ACM, vol. 49, no. 5, pp. 577-602, 2002.
[25] A. Mu'alem and N. Nisan, "Truthful Approximation Mechanisms for Restricted Combinatorial Auctions," Proc. 18th Nat'l Conf. Artificial Intelligence, pp. 379-384, 2002.
[26] P. Briest, P. Krysta, and B. Vöcking, "Approximation Techniques for Utilitarian Mechanism Design," SIAM J. Computing, vol. 40, no. 6, pp. 1587-1622, 2011.
[27] C. Chekuri and I. Gamzu, "Truthful Mechanisms via Greedy Iterative Packing," Proc. 12th Workshop Approximation Algorithms for Combinatorial Optimization Problems, pp. 56-69, 2009.
[28] U. Lampe, M. Siebenhaar, A. Papageorgiou, D. Schuller, and R. Steinmetz, "Maximizing Cloud Provider Profit from Equilibrium Price Auctions," Proc. IEEE Fifth Int'l Conf. Cloud Computing, pp. 83-90, 2012.
[29] V. Prasad, S. Rao, and A. Prasad, "A Combinatorial Auction Mechanism for Multiple Resource Procurement in Cloud Computing," Proc. 12th Int'l Conf. Intelligent Systems Design and Applications, pp. 337-344, 2012.
[30] D.G. Feitelson, "Parallel Workloads Archive: Standard Workload Format," swf.html, 2013.
[31] S. Zaman and D. Grosu, "Combinatorial Auction-Based Dynamic VM Provisioning and Allocation in Clouds," Proc. IEEE Third Int'l Conf. Cloud Computing Technology and Science, pp. 107-114, 2011.
63 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool