Abstract:
Federated cloud facilitates data sharing across multiple organizations. Existing distributed storage systems cannot support efficient data search with complicated query r...Show MoreMetadata
Abstract:
Federated cloud facilitates data sharing across multiple organizations. Existing distributed storage systems cannot support efficient data search with complicated query requirements. This paper proposes a DS-index solution to provide distributed search in federated cloud, targeting to support multi-attribute range search with secondary index. DS-index includes a three-layer architecture with a multi-attribute index overlay, a tree-based P2P network layer, and a federated cloud layer. In addition, a dynamic mapping algorithm has been presented for DS-index to map between different layers. We have also defined a Markov Chain-based cost model to facilitate node selection and mapping. The proposed DS-index solution is capable to support multi-attribute range queries in the federated cloud. The experiments have shown that, the DS-index solution with cost model can save the computation resource and reduce network bandwidth consumption by around 30% comparing to the one without cost model. It can also reduce the splitting/ merging times by around 20% comparing to the state-of-the-art solution.
Date of Conference: 08-10 August 2016
Date Added to IEEE Xplore: 25 August 2016
ISBN Information: