Communications of the ACM
A worldwide flock of Condors: load sharing among workstation clusters
Future Generation Computer Systems - Special issue: resource management in distributed systems
In search of clusters (2nd ed.)
In search of clusters (2nd ed.)
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Client/Server Information Systems: A Business-Oriented Approach
Client/Server Information Systems: A Business-Oriented Approach
Cooperative Multiagent Systems: A Personal View of the State of the Art
IEEE Transactions on Knowledge and Data Engineering
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
A Directory Service for Configuring High-Performance Distributed Computations
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
The future of peer-to-peer computing
Communications of the ACM - Why CS students need math
A P2P strategy for QoS discovery and SLA negotiation in Grid environment
Future Generation Computer Systems
Agent-based platform to support the execution of parallel tasks
Expert Systems with Applications: An International Journal
Multiagent and Grid Systems
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The conventional computing Grid has developed a service oriented computing architecture with a super-localresource management and scheduling strategy. This architecture is limited in modeling computer systems with highly dynamic and autonomous computing resources due to its server-based computing model. The super-local resource management and scheduling strategy also limits the utilization of the computing resources. In this paper, we propose a multi-agent based Peer-to-Peer Grid computing architecture.This novel architecture solves the above issues, while provides reasonable compatibility and interoperability with the conventional Grid systems and clients. The main characteristics of this architecture are highlighted by its promising performance and scalability, and its adaptive resource management and scheduling mechanisms. With this architecture, is promising to build large scale high performance commodity computing Grids at low cost.