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Issue No.02 - February (2012 vol.23)
pp: 304-312
Wentong Cai , Parallel & Distrib. Comput. Centre, Nanyang Technol. Univ., Singapore, Singapore
ABSTRACT
Maintaining interactivity is one of the key challenges in distributed virtual environments (DVEs). In this paper, we consider a new problem, termed the interactivity-constrained server provisioning problem, whose goal is to minimize the number of distributed servers needed to achieve a prespecified level of interactivity. We identify and formulate two variants of this new problem and show that they are both NP-hard via reductions to the set covering problem. We then propose several computationally efficient approximation algorithms for solving the problem. The main algorithms exploit dependencies among distributed servers to make provisioning decisions. We conduct extensive experiments to evaluate the performance of the proposed algorithms. Specifically, we use both static Internet latency data available from prior measurements and topology generators, as well as the most recent, dynamic latency data collected via our own large-scale deployment of a DVE performance monitoring system over PlanetLab. The results show that the newly proposed algorithms that take into account interserver dependencies significantly outperform the well-established set covering algorithm for both problem variants.
INDEX TERMS
virtual reality, computational complexity, distributed processing, Internet, network servers, network topology, problem solving, PlanetLab, interactivity-constrained server provision, large-scale distributed virtual environment, distributed server, NP-hard problem, set covering problem, approximation algorithm, problem solving, static Internet latency data available, topology generator, dynamic latency data, DVE performance monitoring system, Servers, Quality of service, Delay, Heuristic algorithms, Approximation algorithms, Complexity theory, Internet, interactivity., Distributed virtual environments, server provisioning
CITATION
Wentong Cai, "Interactivity-Constrained Server Provisioning in Large-Scale Distributed Virtual Environments", IEEE Transactions on Parallel & Distributed Systems, vol.23, no. 2, pp. 304-312, February 2012, doi:10.1109/TPDS.2011.107
REFERENCES
[1] V. Nae, A. Iosup, S. Podlipnig, R. Prodan, D. Epema, and T. Fahringer, "Efficient Management of Data Center Resources for Massively Multiplayer Online Games," Proc. ACM/IEEE Supercomputing, pp. 1-12, 2008.
[2] D. Ta, S. Zhou, X. Tang, W. Cai, and R. Ayani, "Efficient Zone Mapping Algorithms for Distributed Virtual Environments," Proc. ACM/IEEE/SCS Workshop Principles of Advanced and Distributed Simulation (PADS), pp. 137-144, 2009.
[3] D. Ta and S. Zhou, "A Two-Phase Approach to Interactivity Enhancement for Large-Scale Distributed Virtual Environments," Computer Networks, vol. 51, no. 14, pp. 4131-4152, 2007.
[4] H.V. Madhyastha, T. Isdal, M. Piatek, C. Dixon, T.E. Anderson, A. Krishnamurthy, and A. Venkataramani, "iPlane: An Information Plane for Distributed Services," Proc. Symp. Operating Systems Design and Implementation (OSDI), pp. 367-380, 2006.
[5] T. Henderson and S. Bhatti, "Networked Games: A Qos-Sensitive Application for QoS-Insensitive Users?," Proc. ACM SIGCOMM Workshop Revisiting IP QoS, pp. 141-147, 2003.
[6] L. Pantel and L. Wolf, "On the Impact of Delay on Real-Time Multiplayer Games," Proc. ACM Int'l Workshop Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), pp. 23-29, 2002.
[7] T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, Introduction to Algorithms, second ed. MIT Press, 2001.
[8] D. Ta, T. Nguyen, S. Zhou, X. Tang, W. Cai, and R. Ayani, "A Framework for Performance Evaluation of Large-Scale Interactive Distributed Virtual Environments," Proc. IEEE Int'l Conf. Scalable Computing and Comm., 2010.
[9] K.W. Lee, B.J. Ko, and S. Calo, "Adaptive Server Selection for Large Scale Interactive Online Games," Computer Networks, vol. 49, no. 1, pp. 84-102, 2005.
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