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SA-RSR:a read-optimal data recovery strategy for XOR-coded distributed storage systems

Frontiers of Information Technology & Electronic Engineering 2022年第6期23卷 858-875页

作者： Xingjun ZHANG Ningjing LIANG Yunfei LIU Changjiang ZHANG Yang LI School of Computer Science and Technology Xi’an Jiaotong UniversityXi'an 710049China Beijing Electronic Engineering General Research Institute Beijing 100854China

To ensure the reliability and availability of data,redundancy strategies are always required for distributed storage *** coding,one of the representative redundancy strategies,has the advantage of low storage overhead,which facilitates its employment in distributed storage *** the various erasure coding schemes,XOR-based erasure codes are becoming popular due to their high computing *** a single-node failure occurs in such coding schemes,a process called data recovery takes place to retrieve the failed node’s lost data from surviving ***,data transmission during the data recovery process usually requires a considerable amount of *** research has focused mainly on reducing the amount of data needed for data recovery to reduce the time required for data transmission,but it has encountered problems such as significant complexity and local *** this paper,we propose a random search recovery algorithm,named SA-RSR,to speed up single-node failure recovery of XOR-based erasure ***-RSR uses a simulated annealing technique to search for an optimal recovery solution that reads and transmits a minimum amount of *** addition,this search process can be done in polynomial *** evaluate SA-RSR with a variety of XOR-based erasure codes in simulations and in a real storage system,*** results in Ceph show that SA-RSR reduces the amount of data required for recovery by up to 30.0%and improves the performance of data recovery by up to 20.36%compared to the conventional recovery method.

关键词： Distributed storage system Data reliability and availability XOR-based erasure codes single-node failure Data recovery

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