HMT: A Hybrid Mitigating and Transferring Approach on I/O Throughput Degradation for Erasure Coded Storage Systems Article Swipe
Related Concepts
Erasure
Degradation (telecommunications)
Computer science
Throughput
Erasure code
Distributed computing
Decoding methods
Operating system
Algorithm
Wireless
Telecommunications
Programming language
Piao Hu
,
Huangzhen Xue
,
Chentao Wu
,
Jie Li
,
Minyi Guo
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3673038.3673052
· OA: W4401408896
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3673038.3673052
· OA: W4401408896
In cloud storage systems with erasure coding (EC), increased demand for data services and EC-based data recovery lead to high volumes of concurrent I/O requests, potentially causing network congestion or server overload. Network congestion or node overload significantly reduces I/O throughput and data parallelism. Various methods have been proposed to address these issues, such as fine-grained data packet partitioning, I/O scheduling, and transfer reading. However, these methods may not be effective in different scenarios. For instance, even if most I/O paths are relieved, data may still remain inaccessible.
Related Topics
Finding more related topics…