Sharing and optimized usage of resources utilities are one of the most essential goals in Grid systems. In such environments, patterns and aims of the resource providers and users for supply/demand differ. Beside, resource allocation algorithms attempt to provide the condition in which firstly providers are encouraged to keep on sharing their own computing resources and secondly the users are promoted to use the available resources to execute their jobs. Resource allocation ability to satisfy both sides, along with considering the users and providers mutual benefits, is a challenging task in grid market places. By a method suggested in this paper Continuous Double Auction, which is one of the most used methods in grid marketing, is improved...
This paper presents a market mechanism for dynamic resource allocation in computational grid. Grid m...
Grid Computing uses software to integrate computing resources, such as CPU cycles, storage, network ...
By extension of previously developed combinatorial double auction based resource allocation and pric...
In this paper, we implemented an auction–based framework for user and resource provider matchmaking ...
Abstract. To improve the resource utilization and satisfy more users, a Greedy Double Auction Mechan...
The Grid provides access to distributed computational capabilities such as processors or storage spa...
In this work we describe a market based approach to conduct resource allocation problems in computat...
Abstract: This paper examines economic resource allocation through a number of auction types for a g...
This paper examines economic resource allocation through a number of auction types for a grid of e-w...
The Grid is a promising technology for providing access to distributed high-end computational capabi...
The Grid is a promising technology for providing access to distributed high-end computational ca...
Clusters, grids and P2P networks enable aggregation of resources and creation of virtual enterprises...
Abstract. The emergency of computational Grid and Peer-to-Peer (P2P) computing system is promising t...
Service providers of the future could dynamically negotiate for, and create their infrastructure on ...
Heterogeneity and different ownerships of grid computing resources impose complexity in evaluating t...
This paper presents a market mechanism for dynamic resource allocation in computational grid. Grid m...
Grid Computing uses software to integrate computing resources, such as CPU cycles, storage, network ...
By extension of previously developed combinatorial double auction based resource allocation and pric...
In this paper, we implemented an auction–based framework for user and resource provider matchmaking ...
Abstract. To improve the resource utilization and satisfy more users, a Greedy Double Auction Mechan...
The Grid provides access to distributed computational capabilities such as processors or storage spa...
In this work we describe a market based approach to conduct resource allocation problems in computat...
Abstract: This paper examines economic resource allocation through a number of auction types for a g...
This paper examines economic resource allocation through a number of auction types for a grid of e-w...
The Grid is a promising technology for providing access to distributed high-end computational capabi...
The Grid is a promising technology for providing access to distributed high-end computational ca...
Clusters, grids and P2P networks enable aggregation of resources and creation of virtual enterprises...
Abstract. The emergency of computational Grid and Peer-to-Peer (P2P) computing system is promising t...
Service providers of the future could dynamically negotiate for, and create their infrastructure on ...
Heterogeneity and different ownerships of grid computing resources impose complexity in evaluating t...
This paper presents a market mechanism for dynamic resource allocation in computational grid. Grid m...
Grid Computing uses software to integrate computing resources, such as CPU cycles, storage, network ...
By extension of previously developed combinatorial double auction based resource allocation and pric...