Utility-driven Non-Cooperative Game Model of Optimal Resource Allocation for Economic Grid

نویسندگان

  • Xiaoqing ZHANG
  • Chunlin LI
  • Qiongfen QIAN
چکیده

In grid environment based on economic model, grid users who submit jobs and grid resource providers who provide resources have different motivations. Due to autonomy both in gird users and resource providers, their objectives often conflict. This paper researches grid resource allocation problem by using non-cooperative game theory. Combined with economic grid model, two resource allocation mechanisms reflecting supply and demand relation are proposed from two angles of grid users and resources. The Nash equilibrium solution of users’ optimal bidding and the Nash equilibrium solution of resource providers’ optimal allocation share are solved respectively by using utility functions that express the objectives of two grid entities. Finally, combined with respective interests of two gamers, a joint optimal allocation policy that provides a solution of joint optimization of the objectives for both the grid user and grid resource is proposed. Simulation results show that the non-cooperative game models of resource allocation not only regulate grid user’s bidding and resource allocation, but also yield better performance on fairness, equilibrium and rationality.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

MODELING RISK OF LOSING A CUSTOMER IN A TWO-ECHELON SUPPLY CHAIN FACING AN INTEGRATED COMPETITOR: A GAME THEORY APPROACH

In a competitive market, customer decision is made to maximize his utility. It can be assumed that risk of losing a supply chain’s customer can be defined based on products utility from customer point of view. This paper takes account of product price and service level as competition criteria. The proposed model is based on non-cooperative game theory, for one-manufacturer and one-retailer supp...

متن کامل

Resource allocation based on integer programming and game theory in uplink multi-cell cooperative OFDMA systems

In this article, we propose a semi-distributed resource allocation framework for the resource optimization in multicell uplink cooperative orthogonal frequency division multiplexing systems. Specifically, we model the resource allocation framework as an optimal problem. This optimization problem is divided into two steps. First, using integer programming, we achieve the joint relay selection an...

متن کامل

Energy Efficient Resource Allocation in Distributed Computing Systems

The problem of mapping tasks onto a computational grid with the aim to minimize the power consumption and the makespan subject to the constraints of deadlines and architectural requirements is considered in this paper. To solve this problem, we propose a solution from cooperative game theory based on the concept of Nash Bargaining Solution. The proposed game theoretical technique is compared ag...

متن کامل

Virtual network resource allocation based on Stackelberg game research

-In view of the network resources allocation problem in network virtualization environment, combined with the Stackelberg game model, this paper proposes a resources allocation scheme that can satisfy the maximum utility of the substrate network and virtual network at the same time. Firstly, it designed a utility function of virtual network based on revenue and cost, and proved in the price of ...

متن کامل

QoS-Driven Radio Resource Allocation for OFDMA Networks Based on a Game Theoretical Approach

In this paper, we propose a cooperative strategy for OFDMA radio resource allocation based on game theory. The main novelty with respect to state-of-the-art is that the utility function considers the application-oriented Mean Opinion Score (MOS) rather than the gross data rate attributed to each user flow. In such a scenario, data flows compete in cooperative way in order to maximize the percei...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011