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EDAS: Efficient Data Access Scheme of Data Replication for Hadoop Distributed File System (HDFS)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Htet, Hnin Aung, Htet Htet Oo, Nyein Nyein |
| Copyright Year | 2015 |
| Abstract | Cloud computing is composed of a large number of distributed computation and storage resources to facilitate the management of distributed and sharing data resources efficiently. It is a great challenge to ensure efficient access of data replication to such huge and widely distributed data in cloud computing. To address this need, we proposed an Efficient Data Access Scheme (EDAS) of data replication for Hadoop Distributed File System (HDFS) to adaptively select the replica of data file form among service nodes. HDFS is an open source cloud based storage platform and deigned to be deployed in low-cost commodity hardware. In HDFS, data are distributed and replicated in cluster of commodity nodes. EDAS supports the access nodes decision of replica data for the users to get quick access form the adaptive services nodes according to the load of nodes. Aiming to provide the high performance of replication access and achieve load balance of service nodes, the proposed EDAS Algorithm implements based on historical data access record form the metadata of HDFS and anti-blocking probability selection method. |
| File Format | PDF HTM / HTML |
| DOI | 10.17758/ur.u0315253 |
| Alternate Webpage(s) | http://urst.org/siteadmin/upload/9440U0315253.pdf |
| Alternate Webpage(s) | https://doi.org/10.17758/ur.u0315253 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
