Name
Abstract | ||
|---|---|---|
Increased growth of the data and the need to move the data between data centers, demands, an efficient data transfer tool which can, not only transfer the data at higher rates but also handle the faults occurred during the transfer. Absence of fault tolerance mechanisms, would need to retransmit the whole data, in case of any error during the transfer. Hence, fault tolerance is an important aspect of big data transfer tools. In this paper, we have considered LADS data transfer tool, which proved to be superior to the existing data transfer tools with respect to the speed of the transfer. However, absence of fault tolerance implementation in LADS might result in data retransmission and congestion issues upon errors. In this paper, we design and analyze fault tolerance mechanisms which can be used with LADS data transfer tool. We have proposed three different fault tolerance mechanisms, File logging, Transaction logging and Universal logging. Also, we have analyzed the space and performance overhead of these fault tolerance mechanisms on LADS data transfer tool. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CLUSTER.2016.74 | 2016 IEEE International Conference on Cluster Computing (CLUSTER) |
Keywords | Field | DocType |
universal logging,transaction logging,file logging,LADS data transfer tool,Big Data transfers,fault tolerance mechanisms | Metadata,Data transmission,Computer science,Retransmission,Software fault tolerance,Real-time computing,Fault tolerance,Database transaction,Big data,Distributed computing | Conference |
ISSN | ISBN | Citations |
1552-5244 | 978-1-5090-3654-7 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Preethika Kasu | 1 | 0 | 0.68 |
| Youngjae Kim | 2 | 590 | 61.25 |
| Sung-Yong Park | 3 | 21 | 8.86 |
| Scott Atchley | 4 | 186 | 15.09 |
| Geoffroy Vallée | 5 | 123 | 15.62 |