DRF-FTS: A Dynamic Replication Factor Replication Scheme Based on Fault-Tolerant Set

Author(s):  
Yongfeng Yan ◽  
Ying Song ◽  
Bo Wang
2020 ◽  
Vol 76 (9) ◽  
pp. 7219-7241
Author(s):  
Heithem Abbes ◽  
Thouraya Louati ◽  
Christophe Cérin

2015 ◽  
Vol 9 (1) ◽  
pp. 2670-2676 ◽  
Author(s):  
Wang Hongxia ◽  
Fang Haoran ◽  
Qiu Xin

2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Jui-Pin Yang

Many algorithms can uniformly distribute data to storage nodes in a storage system. However, it cannot avoid load imbalance because data has different popularity. To resolve this issue, we propose a novel dynamic replication scheme, namely, Active Replica Management (ARM). ARM actively establishes optimal number of copies for hotspot data according to data access behaviors and then efficiently distributes copies to other storage nodes based on current amount of copies related to hotspot data. To improve storage utilization, ARM automatically and gradually dereplicates the useless copies of hotspot data when they become nonhotspot data. ARM resolves load imbalance by allocating dynamic copies to adequate storage nodes, and hence it can prevent partial storage nodes from overburdening. Simulation results demonstrate that ARM is an efficient scheme with excellent performance on load balancing, significantly closer to Optimal Load Balancing (OLB). In addition, ARM’s performance outperforms both Static Load Balancing (SLB) and No Replica schemes.


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