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| Content Provider | Springer Nature Link |
|---|---|
| Author | Tang, Yu Fan, Aihua Wang, Yingjie Yao, Yuanzhe |
| Copyright Year | 2014 |
| Abstract | Corresponding to the storing and fast searching needs of an extra-large scale of energy monitoring and statistics data, we propose a multi-level-indexed distributed hash table (mDHT) algorithm and complete a MapReduce implementation of the algorithm on the open-standard HDFS/Hbase platform. Such an approach uses a columnar storage structure for energy consumption data storage and creates a hashed index table to provide a quick search and retrieval method for extra-large-scale data processing systems. Such a hashed indexing scheme is implemented on a 3-node Hadoop cluster, and the simulation experiments at a scale up to 48 million data records indicate that, when the data volume reaches the scale of 12 million to 48 millions, the proposed mDHT algorithm presents an outstanding performance in data writing operation, compared to that of traditional SQL Server implementation. Even compared to the single-indexed DHT (sDHT) application, the mDHT solution outperforms by reducing the data retrieval time by 24.5–48.6 %. The multi-level-indexed DHT algorithm presented in this paper contributes a key technique to developing a fast search engine to the extra-large scale of data on the cloud storage architecture. |
| Starting Page | 1835 |
| Ending Page | 1844 |
| Page Count | 10 |
| File Format | |
| ISSN | 16174909 |
| Journal | Personal Technologies |
| Volume Number | 18 |
| Issue Number | 8 |
| e-ISSN | 16174917 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2014-08-09 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Data retrieval Distributed hash table Cloud storage Multi-level index Algorithm User Interfaces and Human Computer Interaction Computer Science Personal Computing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research Library and Information Sciences Computer Science Applications Hardware and Architecture |
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