Resource Discovery Algorithm Based on Small-World Cluster in Hierarchical Grid Computing Environment

Grid is an environment of seamless and integrated sharing and collaboration. The heterogeneous, dynamic, various and autonomous characteristics of resources make grid resource discovery a challenging issue. Hierarchical grid computing environment (hierarchical grid for short) with many advantages is far and wide used. This paper introduces small-world cluster into hierarchical grid in which intra-cluster adopts centralized management and cluster center nodes form small-world network. The architecture strikes a balance between high efficiency of total centralized management and good scalability of absolute distributed disposal. In the process of constructing small-world network, a new construction method on the basis of NW (Newman-Watts) model is presented, that is, short range contacts and long range contacts are represented by routing tables in a logic and dynamic way not by Manhattan distance. SWRD (Small-World Resource Discovery) algorithm pertinent to user classification and data retrieval way is proposed. Results from simulation experiments demonstrate SWRD algorithm greatly prunes search space and improves query efficiency.