Abstract
A decentralized approach for metadata management in computing resource sharing platform was proposed,which used peer network to distribute data and metadata to other nodes on the network instead of the back server.The random access patterns,variable access grains and potential heavy concurrency were supported in this system.Scalability under heavy concurrency was also achieved,which was supported by an original metadata scheme using a distributed segment tree built on top of a Distributed Hash Table(DHT).In order to validate our approach,a serial of simulation experiments were conducted.The experimental results show the aggregated bandwidth always increases when adding metadata servers.A wide average client bandwidth was also obtained when workers generate and write output data simultaneously.
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