Mollamotalebi, M., Gilanian Sadeghi, M. (2018). Weighted-HR: An Improved Hierarchical Grid Resource Discovery. Journal of Computer & Robotics, 11(2), 7-16.
Mahdi Mollamotalebi; Mohammad Mehdi Gilanian Sadeghi. "Weighted-HR: An Improved Hierarchical Grid Resource Discovery". Journal of Computer & Robotics, 11, 2, 2018, 7-16.
Mollamotalebi, M., Gilanian Sadeghi, M. (2018). 'Weighted-HR: An Improved Hierarchical Grid Resource Discovery', Journal of Computer & Robotics, 11(2), pp. 7-16.
Mollamotalebi, M., Gilanian Sadeghi, M. Weighted-HR: An Improved Hierarchical Grid Resource Discovery. Journal of Computer & Robotics, 2018; 11(2): 7-16.
Weighted-HR: An Improved Hierarchical Grid Resource Discovery
1Department of Computer, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran
2Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Receive Date: 13 March 2018,
Revise Date: 23 May 2018,
Accept Date: 20 August 2018
Abstract
Grid computing environments include heterogeneous resources shared by a large number of computers to handle the data and process intensive applications. In these environments, the required resources must be accessible for Grid applications on demand, which makes the resource discovery as a critical service. In recent years, various techniques are proposed to index and discover the Grid resources. The response time and message load during the search process could highly affect the efficiency of resource discovery. This paper proposes a new technique in order to forward the queries based on the resource types which are accessible through each branch in hierarchical Grid resource discovery approaches. To evaluate the proposed technique, it is simulated in GridSim. The experimental results showed reducing 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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