Aiming at multi-resource allocation in multimedia system
a multi-resource allocation algorithm based on pricing mechanism is proposed. Assuming that resource consumption function is convex
the resource allocation is derived as a convex programming. Lagrange dual decomposition theory is employed to solve resource allocation
and the price of resource and the optimal resource allocation are obtained. For a single resource allocation
multi-bid auction algorithm is chosen to achieve the optimal resource allocation. The simulation shows that for a single resource allocation
when the number of each task bids is greater than 15
the total QoS of the system is almost optimal. For a multiple resource allocation
the performance of the multi-resource allocation algorithm based on pricing mechanism is better than the existing algorithms
with a lower algorithm complexity.
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references
RAJKUMAR R, LEE C, LEHOCZKY J, et al. A QoS-based resource allocation model [C]∥IEEE Real-Time Systems Symposium. San Francisco, CA, USA: IEEE, 1997: 298-307.
LEE C, LEHOCZKY J, RAJKUMAR R, et al. On quality of service optimization with discrete qos options [C]∥IEEE Real-Time Technology and Applications Symposium. Piscataway, NJ, USA: IEEE, 1998: 276-286.
RAJKUMAR R, LEE C, LEHOCZKY J, et al. Practical solutions for QoS-based resource allocation problems [C]∥IEEE Real-Time Systems Symposium. Piscataway, NJ, USA: IEEE, 1998: 296-306.
LEE C, LEHOCZKY J, SIEWIOREK D, et al. A scalable solution to the multi-resource QoS problem [C]∥IEEE Real-Time Systems Symposium. Piscataway, NJ, USA: IEEE, 1999: 315-326.
KHAN S. Quality adaptation in a multi-session adaptive multimedia system: model and architecture [D]. Victoria, BC, Canada:University of Victoria, 1998.
SHAHRIAR A Z M, AKBAR M M, RAHMAN M S, et al. A multiprocessor based heuristic for multi-dimensional multiple-choice knapsack problem[J]. The Journal of Supercomputing, 2008, 43(3): 257-280.
MAILLÉ P,TUFFIN B. Multibid auctions for bandwidth allocation in communication networks [C]∥Twenty-Third Annual Joint Conference of the IEEE Computer and Communications Societies. Piscataway, NJ, USA: IEEE, 2004: 54-65.
FOO B,VAN DER SCHAAR M. Informationally decentralized system resource management for multiple multimedia tasks [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2009, 19(9): 1352-1364.
PALOMAR D P,CHIANG M. A tutorial on decomposition methods for network utility maximization [J]. IEEE Journal on Selected Areas in Communications, 2006, 24(8): 1439-1451.
SU S,VAN DER SCHAAR M. On the application of game-theoretic mechanism design for resource allocation in multimedia systems[J]. IEEE Transactions on Multimedia, 2008, 10(6): 1197-1207.