Challenger: a multi-agent system for distributed resource allocation
AGENTS '97 Proceedings of the first international conference on Autonomous agents
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
PUNCH: An architecture for Web-enabled wide-area network-computing
Cluster Computing
Predicting Application Run Times Using Historical Information
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The Legion Resource Management System
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
A decoupled scheduling approach for the GrADS program development environment
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Globally Distributed Computation over the Internet - The POPCORN Project
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
Using Apples to Schedule Simple SARA on the Computational Grid
International Journal of High Performance Computing Applications
The GrADS Project: Software Support for High-Level Grid Application Development
International Journal of High Performance Computing Applications
The AppLeS Parameter Sweep Template: User-level middleware for the Grid\m{1}
Scientific Programming
Pricing for Utility-Driven Resource Management and Allocation in Clusters
International Journal of High Performance Computing Applications
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
A Market Design for Grid Computing
INFORMS Journal on Computing
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Allocating resources in grid computing requires local and external schedulers to communicate in order to achieve an efficient management of the resources themselves. To this end, some economic/market-based models have been introduced in the literature, where users, external schedulers, and local schedulers negotiate to optimize their objectives. In this paper, we propose a tender/contract-net model for the grid resource allocation problem, showing the interactions among the involved actors. The performance of the proposed market-based approach is experimentally compared with a round-robin allocation protocol, a system-centric least-cost allocation approach, and also a market-based approach available from the literature.