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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu, Yuang Gao, Xiaofeng Chen, Guihai |
| Copyright Year | 2015 |
| Description | Author affiliation: Shanghai Key Laboratory of Scalable Computing and Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China (Liu, Yuang; Gao, Xiaofeng; Chen, Guihai) |
| Abstract | The capacity of data management and the query performance are two main metrics for today's cloud storage system. In this paper, we design a two-layer indexing scheme of distributed secondary index on switch-centric data center network (DCN) topologies. We take advantage of the desirable features of switch-centric topologies, such as stability, scalability, and fault tolerance, and successfully improve the query efficiency for cloud storage system. We choose B+-tree as the local layer index to locate data in each local host, while implement segment tree as the global layer index to manage a portion of metadata published from local hosts. We also optimize the query processing protocols to reduce false positives and network cost. In addition, we propose a top-down index selection method for maintenance. We then analyze the efficiency of query processing theoretically and calculate the expected number of routing cost for each query precisely. Finally we validate the efficiency of our design by experiments and comparison with a previous work. |
| Starting Page | 582 |
| Ending Page | 587 |
| File Size | 310823 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781467371940 |
| DOI | 10.1109/ISCC.2015.7405577 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-06 |
| Publisher Place | Cyprus |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Topology Switches Indexing Network topology Distributed databases Query processing Data Center Network Cloud System |
| Content Type | Text |
| Resource Type | Article |
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