Efficient and Locality-aware Resource Management in Wide-area Distributed Systems
Haiying Shen, Yingwu Zhu, Wing-Ning Li
Abstract
Haiying Shen, Yingwu Zhu, Wing-Ning Li
Abstract
Wide-area distributed systems such as data sharing, computational grids, and multimedia are increasingly being deployed in a large-scale, heterogeneous and dynamic distributed environment with geographically scattered resources. However, most current resource management approaches are unable to simultaneously deal with the characteristics of such an environment. This paper presents an efficient DHT-based locality-aware resource management mechanism. Taking advantage of a DHTpsilas hierarchical structure, it uses a single DHT to achieve multi-resource management with low overhead. Moreover, it has high capability to handle the characteristics of distributed systems. Simulation results demonstrate the effectiveness of the mechanism in comparison with other resource management algorithms. The mechanism performs no worse than existing locality-aware approaches and exhibits high resilience to dynamism. It also reduces the overhead of the locality-aware algorithms due to the elimination of unnecessary communications by shrinking probing scope. In addition, it yields significant improvements in the efficiency of resource discovery.
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Wide-area distributed systems such as data sharing, computational grids, and multimedia are increasingly being deployed in a large-scale, heterogeneous and dynamic distributed environment with geographically scattered resources. However, most current resource management approaches are unable to simultaneously deal with the characteristics of such an environment. This paper presents an efficient DHT-based locality-aware resource management mechanism. Taking advantage of a DHTpsilas hierarchical structure, it uses a single DHT to achieve multi-resource management with low overhead. Moreover, it has high capability to handle the characteristics of distributed systems. Simulation results demonstrate the effectiveness of the mechanism in comparison with other resource management algorithms. The mechanism performs no worse than existing locality-aware approaches and exhibits high resilience to dynamism. It also reduces the overhead of the locality-aware algorithms due to the elimination of unnecessary communications by shrinking probing scope. In addition, it yields significant improvements in the efficiency of resource discovery.
Key concepts: Computer science, Distributed computing, Dynamism, Locality, Resource management (computing), Overhead (engineering), Scalability, Resource (disambiguation)