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CSREASAM
2007

Allocation of Partitioned Data by Using A Neural Network Based Approach

14 years 9 days ago
Allocation of Partitioned Data by Using A Neural Network Based Approach
In this paper, we investigate allocation of data partitions in the network for data objects that are partitioned by using secret sharing schemes [12] or erasure coding schemes [11]. We defined the problem as finding M nodes in the network to host the data partitions so that the total cost of reading K partitions and updating M partitions by all nodes in the network is minimized. This problem is NPhard. We proposed a SOFM-like algorithm and a heuristic algorithm for this problem. The numerical study shows both algorithms are effective for this problem. Key Words: Security, data partitioning, secret sharing, erasure coding, SOFM like Algorithm.
Manghui Tu, Dongfeng Wang, Peng Li, Nasser Tadayon
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where CSREASAM
Authors Manghui Tu, Dongfeng Wang, Peng Li, Nasser Tadayon
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