Abstract:

A cloud resource discovery algorithm is proposed for the fuzzy query of cloud resource in cloud computing.Based on a hierarchical Chord model and combined with Hilbert Space Filling Curve (HSFC),this algorithm realizes dimensionality reduction of multidimensional attributes and then completes cloud source discovery.In addition,the source space is divided into several multidimensional intervals,and the concept of neighbor interval is put forward,with which the fuzzy query of cloud resource is resolved.Every attribute is given a weight to reduce requests in the network.The experimental results show that the algorithm not only resolves the fuzzy query of cloud resource,but also reduces delay as much as possible to improve query efficiency.

Key words: cloud computing;source discovery;HSFC