The Legion vision of a worldwide virtual computer
Communications of the ACM
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
A computational economy for grid computing and its implementation in the Nimrod-G resource broker
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Developing a bidding agent for multiple heterogeneous auctions
ACM Transactions on Internet Technology (TOIT)
Negotiating Agents in a Market-Oriented Grid
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Robust Double Auction Protocol against False-Name Bids
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Combinatorial Auction-Based Protocols for Resource Allocation in Grids
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13 - Volume 14
Grid load balancing using intelligent agents
Future Generation Computer Systems
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
Auction algorithms for decentralized parallel machine scheduling
Parallel Computing - Optimization on grids - Optimization for grids
Resource trading using cognitive agents: A hybrid perspective and its simulation
Future Generation Computer Systems
Macroeconomics based Grid resource allocation
Future Generation Computer Systems
Incentive-Based Scheduling for Market-Like Computational Grids
IEEE Transactions on Parallel and Distributed Systems
Multi-cost job routing and scheduling in Grid networks
Future Generation Computer Systems
Time and cost trade-off management for scheduling parallel applications on Utility Grids
Future Generation Computer Systems
Using economic regulation to prevent resource congestion in large-scale shared infrastructures
Future Generation Computer Systems
Dynamic Job-Clustering with Different Computing Priorities for Computational Resource Allocation
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Dynamic Auction Mechanism for Cloud Resource Allocation
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
An evaluation of the benefits of fine-grained value-based scheduling on general purpose clusters
Future Generation Computer Systems
An evaluation of the benefits of fine-grained value-based scheduling on general purpose clusters
Future Generation Computer Systems
A survey of economic models in grid computing
Future Generation Computer Systems
Resource scheduling methods for query optimization in data grid systems
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
International Journal of Computer Applications in Technology
Feedback-based optimization of a private cloud
Future Generation Computer Systems
Market_based grid resource allocation using new negotiation model
Journal of Network and Computer Applications
Non-cooperative games on multidimensional resource allocation
Future Generation Computer Systems
A new fuzzy negotiation protocol for grid resource allocation
Journal of Network and Computer Applications
The Journal of Supercomputing
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A computational grid is composed of a set of resource consumers and resources providers. Usually these entities are independent and making decisions autonomously based on their policies and resource allocation in such systems is a challenging problem. In such systems using market-like techniques for this problem regulates the supply and demand for resources, provides an incentive for providers, and motivates the users to trade-off between deadline, budget, and the required level of quality of service. In this paper, we introduce a continuous double auction method (CDA) for grid resource allocation in which resources are considered as provider agents and users as consumer agents. In our proposed method these entities are allowed to participate in a grid independently and make decisions autonomously. We study this method in terms of economic efficiency and system performance. Experimental results illustrate that the proposed method is efficient in terms of successful execution rates, resource utilization rates and fair profit allocation.