Title :
The Proportional-Share Allocation Market for Computational Resources
Author :
Feldman, Michal ; Lai, Kevin ; Zhang, Li
Author_Institution :
Sch. of Bus. Adm., Hebrew Univ. of Jerusalem, Jerusalem
Abstract :
We study the problem of allocating shared resources, such as bandwidth in computer networks and computational resources in shared clusters, among multiple users by the proportional-share market mechanism. Under this mechanism, each user partitions his budget among the multiple resources and receives a fraction of each resource proportional to his bid. We first formulate the resource allocation game under the proportional-share mechanism and study the efficiency and fairness of the equilibrium in this game. We present analytic and simulation results demonstrating that the proportional-share mechanism achieves a reasonable balance of high degrees of efficiency and fairness at the equilibrium.
Keywords :
computer networks; game theory; resource allocation; computer network; game theory; proportional-shared resource allocation market; Distributed Systems; Game theory; System architectures; integration and modeling; proportional-share mechanism.; resource allocation;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
DOI :
10.1109/TPDS.2008.168