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Grid computing environments include heterogeneous resources shared by a large number of computers to handle data and process intensive applications. The required resources must be accessible for the grid applications on demand, which makes resource discovery a critical service. In recent years, different techniques are provided to index and discover grid resources. Response time and message load during the search process highly affect the efficiency of resource discovery. This paper proposes a technique to forward the queries based on the resource types accessible through each neighbor in super-peer-based grid resource discovery approaches. The proposed technique is simulated in GridSim and the experimental results indicated that it is able to reduce the response time and message load during the search process especially when the grid environment contains a large number of nodes.
Business process modeling, query forwarding, Scalable Peer-to-Peer Network Architectures, Computer Networks and Communications, Grid Computing, QA75 Electronic computers. Computer science, Information-Centric Networking, Resource (disambiguation), Business process discovery, Geometry, grid computing, Work in process, Database, FOS: Economics and business, Semantic grid, Distributed Grid Computing Systems, Response time, Load balancing (electrical power), Computational Grids, FOS: Mathematics, Business, Grid, Content-Centric Networking for Information Delivery, resource discovery, Semantic Web, Marketing, Computer network, weight-table;, Data Grids, super-peer, Computer science, Distributed computing, Business process, Task Scheduling, Process (computing), World Wide Web, Operating system, Computer Science, Physical Sciences, Grid computing, Peer-to-peer, Mathematics
Business process modeling, query forwarding, Scalable Peer-to-Peer Network Architectures, Computer Networks and Communications, Grid Computing, QA75 Electronic computers. Computer science, Information-Centric Networking, Resource (disambiguation), Business process discovery, Geometry, grid computing, Work in process, Database, FOS: Economics and business, Semantic grid, Distributed Grid Computing Systems, Response time, Load balancing (electrical power), Computational Grids, FOS: Mathematics, Business, Grid, Content-Centric Networking for Information Delivery, resource discovery, Semantic Web, Marketing, Computer network, weight-table;, Data Grids, super-peer, Computer science, Distributed computing, Business process, Task Scheduling, Process (computing), World Wide Web, Operating system, Computer Science, Physical Sciences, Grid computing, Peer-to-peer, Mathematics
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