The Strategy Research on Dynamic Discovery of Grid Resource

2011 ◽  
Vol 63-64 ◽  
pp. 41-46
Author(s):  
Yan Ma ◽  
Yuan Yuan Liang ◽  
Xiao Ping Jiang

This paper analyzes the basic principles of ant colony algorithm,Grid Resource Discovery Method is proposed based on the ant colony algorithm. Applying the domain to organize grid resource, and keeping the dynamic resource up to date by adding the domain node and updates. Using the improved ant colony algorithm to discover the inter-domain resource, avoid repeated search process, and achieve quick search of resources.

2011 ◽  
Vol 211-212 ◽  
pp. 918-924
Author(s):  
Xian Chun Zou ◽  
Yan Ma ◽  
Ning Song

This paper analyzes grid resources organization, elaborates on the fundamental principles of the Ant Colony Algorithm, and proposes a grid resource discovery method based on the Ant Colony Algorithm. We consider users request ontology as ants, take search resource as food, and food source is the node of search target. The process of ants to find food is similar to the process of discovery grid resources.


2011 ◽  
Vol E94-D (4) ◽  
pp. 913-916
Author(s):  
Yuan LIN ◽  
Siwei LUO ◽  
Guohao LU ◽  
Zhe WANG

2017 ◽  
Vol 7 (1) ◽  
pp. 1398-1404
Author(s):  
M. Mollamotalebi ◽  
R. Maghami ◽  
A. S. Ismail

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.


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