Abstract
Barter Exchange Economy: A New Solution Concept for Resource Sharing in Wireless Multimedia Cloud Networks
Highlights
Unfair distribution of wealth and resources in society is one of the unsolved problems in the world for which various solutions have been proposed by economists as everyone feels a sense of utility and fairness in accessing the resources.General equilibrium theory is one of the methods to achieve fairness in resource distribution
Bandwidth is chosen as the exchangeable commodity and mobile users and desktop users act as players
From a microeconomics point of view, the allocated bandwidth of each service is, his/her “endowment”. With this endowment and leveraging the concept of the barter economy, the mobile user can interact with other nodes to gain better levels of Quality of Service (QoS) in the future
Summary
Unfair distribution of wealth and resources in society is one of the unsolved problems in the world for which various solutions have been proposed by economists as everyone feels a sense of utility and fairness in accessing the resources. One major challenge for these models is how to allocate bandwidth to cloud-based VOD users by cloud providers [4]. Literature survey shows that many researchers have applied game theory to model interactions among users on a cost-oriented basis [7][8][9][10][11][12][13][14] [15][16][17][18][19][20][21][22][23][24]. This paper is the first research that models the interactions of mobile and desktop nodes in terms of the barter exchange economy. From a microeconomics point of view, the allocated bandwidth of each service is, his/her “endowment” (budget) With this endowment and leveraging the concept of the barter economy, the mobile user can interact with other nodes to gain better levels of Quality of Service (QoS) in the future. The organization of this paper is as follows: In Section 2, significant studies related to pricebased VOD bandwidth allocation are described; in Section 3, the proposed mechanism via exchange economy and the workflow of the proposed method is presented; in Section 4, the simulation of this mechanism on the CloudSim testbed and the evaluation results are elaborated; Section 5 presents the conclusion of this paper and delineate the trajectory of future studies in this area
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