Abstract. To improve the resource utilization and satisfy more users, a Greedy Double Auction Mechanism(GDAM) is proposed to allocate re-sources in grid environments. GDAM trades resources at discriminatory price instead of uniform price, reflecting the variance in requirements for profits and quantities. Moreover, GDAM applies different auction rules to different cases, over-demand, over-supply and equilibrium of demand and supply. As a new mechanism for grid resource allocation, GDAM is proved to be strategy-proof, economically efficient, weakly budget-balanced and individual rational. Simulation results also confirm that GDAM outperforms the traditional one on both the total trade amount and the user satisfaction percentage, specially as...
As Grid infrastructures become more widely used by the academic and commercial world, the problem of...
A computational grid is a hardware and software infrastructure that provides dependable, consistent,...
Heterogeneity and different ownerships of grid computing resources impose complexity in evaluating t...
Sharing and optimized usage of resources utilities are one of the most essential goals in Grid syste...
In this work we describe a market based approach to conduct resource allocation problems in computat...
In this paper, we implemented an auction–based framework for user and resource provider matchmaking ...
The Grid provides access to distributed computational capabilities such as processors or storage spa...
Auction models and protocols are found efficient in managing resources allocation, which are a key t...
Abstract: This paper examines economic resource allocation through a number of auction types for a g...
By extension of previously developed combinatorial double auction based resource allocation and pric...
This paper examines economic resource allocation through a number of auction types for a grid of e-w...
In this paper, we investigate G-commerce — computational economies for controlling resource allocati...
Abstract—As Grid infrastructures become more widely used by the academic and commercial world, the p...
The Grid is a promising technology for providing access to distributed high-end computational ca...
In a computational grid, the presence of grid resource providers who are rational and intelligent co...
As Grid infrastructures become more widely used by the academic and commercial world, the problem of...
A computational grid is a hardware and software infrastructure that provides dependable, consistent,...
Heterogeneity and different ownerships of grid computing resources impose complexity in evaluating t...
Sharing and optimized usage of resources utilities are one of the most essential goals in Grid syste...
In this work we describe a market based approach to conduct resource allocation problems in computat...
In this paper, we implemented an auction–based framework for user and resource provider matchmaking ...
The Grid provides access to distributed computational capabilities such as processors or storage spa...
Auction models and protocols are found efficient in managing resources allocation, which are a key t...
Abstract: This paper examines economic resource allocation through a number of auction types for a g...
By extension of previously developed combinatorial double auction based resource allocation and pric...
This paper examines economic resource allocation through a number of auction types for a grid of e-w...
In this paper, we investigate G-commerce — computational economies for controlling resource allocati...
Abstract—As Grid infrastructures become more widely used by the academic and commercial world, the p...
The Grid is a promising technology for providing access to distributed high-end computational ca...
In a computational grid, the presence of grid resource providers who are rational and intelligent co...
As Grid infrastructures become more widely used by the academic and commercial world, the problem of...
A computational grid is a hardware and software infrastructure that provides dependable, consistent,...
Heterogeneity and different ownerships of grid computing resources impose complexity in evaluating t...