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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Renuga, K. Tan, S.S. Zhu, Y.Q. Low, T.C. Wang, Y.H. |
| Copyright Year | 2009 |
| Abstract | The traditional method of centralized backup suffers from single point of failure and scalability problem. It is therefore beneficial to carry out the backup service over geographically distributed networks. Hence, redundant copies of data stored in such networks are essential to ensure the availability and reliability of the backup data. The main objective of this work is to balance and evenly distribute large amounts of backup data for efficient use of disks as well as network bandwidth which leads to faster data access and recovery. We develop an efficient method for data placement and replication. Our method has several attractive features: (1) Balanced and efficient data placement in a distributed storage resource environment. (2) Redistributing as few replicas as possible in the event of storage node addition or failure/removal. (3) There is no central mapping table so that the search performance becomes more efficient. We demonstrate the effectiveness of our method through theoretical analysis and simulation results. |
| Starting Page | 87 |
| Ending Page | 94 |
| File Size | 364735 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424453344 |
| DOI | 10.1109/CSE.2009.27 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-29 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Availability Scalability Memory Wavelength division multiplexing Data engineering Electronic commerce Distributed computing Analytical models Bandwidth balanced distribution distributed backup Explosives Cyclic Bit-Window |
| Content Type | Text |
| Resource Type | Article |
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