A security architecture for computational grids
CCS '98 Proceedings of the 5th ACM conference on Computer and communications security
Scalable, Efficient Range Queries for Grid Information Services
P2P '02 Proceedings of the Second International Conference on Peer-to-Peer Computing
A Peer-to-peer Framework for Caching Range Queries
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Evolution of grid computing architecture and grid adoption models
IBM Systems Journal
A Virtual-Service-Domain Based Bidding Algorithm for Resource Discovery in Computational Grid
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Discovering Resources in Computational GRID Environments
The Journal of Supercomputing
A Scalable Semantic Routing Architecture for Grid Resource Discovery
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
Agent Oriented Software Engineering for Grid Computing
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Microsoft Visual C++ .NET 2003 Kick Start
Microsoft Visual C++ .NET 2003 Kick Start
Modelling and simulation of off-chip communication architectures for high-speed packet processors
Journal of Systems and Software
Resource discovery in activity-based sensor networks
Mobile Networks and Applications
Introduction to grid computing with globus
Introduction to grid computing with globus
Agent framework to support the computational grid
Journal of Systems and Software
A semantic impact in decentralized resource discovery mechanism for grid computing environments
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
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In this work, first, we present a grid resource discovery protocol that discovers computing resources without the need for resource brokers to track existing resource providers. The protocol uses a scoring mechanism to aggregate and rank resource provider assets and Internet router data tables (called grid routing tables) for storage and retrieval of the assets. Then, we discuss the simulation framework used to model the protocol and the results of the experimentation. The simulator utilizes a simulation engine core that can be reused for other network protocol simulators considering time management, event distribution, and a simulated network infrastructure. The techniques for constructing the simulation core code using C++/CLR are also presented in this paper.