Reducing Tail Latency In Cassandra Cluster Using Regression Based Replica Selection Algorithm

Author(s):  
Euclides Chauque ◽  
Ismail Arai ◽  
Kazutoshi Fujikawa
2013 ◽  
Vol 13 (1) ◽  
pp. 32-41
Author(s):  
Lu Zou ◽  
Tinghuai Ma ◽  
Jianzhong Yang

2012 ◽  
Vol 4 (2) ◽  
pp. 63-70 ◽  
Author(s):  
Chao-Chin Wu ◽  
Lien-Fu Lai ◽  
Jia-Xian Lai

Rather than replicating a file completely, Chang et al. proposed a fragmented replication technique to cope with the problem that only partial content of the replica are required in a local application. Furthermore, they also proposed two server selection algorithms for replica retrieval. However, their algorithms do not always find an optimal solution. To address the problem, in this paper, the authors propose a replica selection algorithm to improve the fragmented replica retrieval efficiency in this paper. It is a heuristic considering not only the transmission time but also the number of available servers for each block. Simulation results show that the proposed algorithm can improve the retrieval efficiency up to 12%.


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