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1st International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS)

作者： Sathyalakshmi, K. Fernandez, M. George Kings Coll Engn Dept Informat Technol Pudukkottai Tamil Nadu India St Josephs Coll Engn & Technol Dept Comp Sci Engn Thanjavur Tamil Nadu India

ISBN: (纸本)9781467367257

Resource discovery is critical to the usability and accessibility of grid computing systems. Distributed Hash Table (DHT) has been applied to grid systems as a distributed mechanism for providing scalable range-query and multi-attribute resource discovery. multi-DHT-based approaches depend on multiple DHT networks with each network responsible for a single attribute. Single-DHT-based approaches keep the resource information of all attributes in a single node. Both classes of approaches lead to high overhead. In this paper, we propose a Heuristic Low-Overhead range-query multi-attribute (H-LORM) DHT-based resource discovery approach. Unlike other DHT-based approaches, H-LORM relies on a single compound graph-based DHT network and distributes resource information among nodes in balance by taking advantage of the compound graph structure. Moreover, it has high capability to handle the large-scale and dynamic characteristics of resources in grids. Experimental results demonstrate the efficiency of H-LORM in comparison with other resource discovery approaches. LORM dramatically reduces maintenance and resource discovery overhead. In addition, it yields significant improvements in resource location efficiency. We also analyze the performance of the LORM approach rigorously by comparing it with other multi-DHT-based and single-DHT-based approaches with respect to their overhead and efficiency. The analytical results are consistent with experimental results, and prove the superiority of the H-LORM approach in theory.

关键词： multi-attribute range query distributed hash table peer-to-peer resource discovery grids

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Leveraging a Compound Graph-Based DHT for multi-attribute range Queries with Performance Analysis

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IEEE TRANSACTIONS ON COMPUTERS 2012年第4期61卷 433-447页

作者： Shen, Haiying Xu, Cheng-Zhong Clemson Univ Holcombe Dept Elect & Comp Engn Clemson SC 29634 USA Wayne State Univ Dept Elect & Comp Engn Detroit MI 48202 USA

Resource discovery is critical to the usability and accessibility of grid computing systems. Distributed Hash Table (DHT) has been applied to grid systems as a distributed mechanism for providing scalable range-query and multi-attribute resource discovery. multi-DHT-based approaches depend on multiple DHT networks with each network responsible for a single attribute. Single-DHT-based approaches keep the resource information of all attributes in a single node. Both classes of approaches lead to high overhead. In this paper, we propose a Low-Overhead range-query multi-attribute (LORM) DHT-based resource discovery approach. Unlike other DHT-based approaches, LORM relies on a single compound graph-based DHT network and distributes resource information among nodes in balance by taking advantage of the compound graph structure. Moreover, it has high capability to handle the large-scale and dynamic characteristics of resources in grids. Experimental results demonstrate the efficiency of LORM in comparison with other resource discovery approaches. LORM dramatically reduces maintenance and resource discovery overhead. In addition, it yields significant improvements in resource location efficiency. We also analyze the performance of the LORM approach rigorously by comparing it with other multi-DHT-based and single-DHT-based approaches with respect to their overhead and efficiency. The analytical results are consistent with experimental results, and prove the superiority of the LORM approach in theory.

关键词： multi-attribute range query distributed hash table peer-to-peer resource discovery grids cycloid

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