EFLOG: A Full Stream-Logging Scheme with Erasure Coding in Cloud Storage Systems

Lei Sun, Q. Cao, Shucheng Wang, Changsheng Xie
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Abstract

Large-scale cloud storage systems use the logging mechanism to sequentially write data in an append-only manner. The write stream needs to be first appended and persisted into logging files, and then encoded with erasure coding (EC) in underlying storage. This introduces significant overhead to small write operations. To solve this problem, we propose EFLOG, a full-streaming storage framework that combines Logging and inter-log EC mechanisms. EFLOG evenly schedules front-end write streams across log files in each disk with append-only manner. In background, EFLOG determines unprotected logged data and seals them into ECblocks. Afterwards, EFLOG concurrently encodes data with multi-threads and stores parity data into parity disks. Results of our trace-driven evaluation show that, EFLOG can achieve up to 1.01GB/s write throughput with RS(4, 2) codes built upon 6 SSD disks.
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EFLOG:云存储系统中带有Erasure编码的完整流日志记录方案
大型云存储系统使用日志记录机制以仅追加的方式顺序写入数据。首先需要将写流附加并持久化到日志文件中,然后在底层存储中使用擦除编码(EC)进行编码。这给小的写操作带来了巨大的开销。为了解决这个问题,我们提出了EFLOG,一个结合了日志和日志间EC机制的全流存储框架。EFLOG以只追加的方式在每个磁盘的日志文件上均匀调度前端写流。在后台,EFLOG确定未受保护的日志数据并将其密封到ecblock中。然后,EFLOG对数据进行多线程并发编码,并将校验数据保存到校验磁盘中。我们的跟踪驱动评估结果表明,在6个SSD磁盘上构建RS(4,2)代码时,EFLOG可以实现高达1.01GB/s的写入吞吐量。
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