@inproceedings{23b1d450d6094261ba190053fd536862,
title = "HSPP: Load-Balanced and Low-Latency File Partition and Placement Strategy on Distributed Heterogeneous Storage with Erasure Coding",
abstract = "To speedup the accesses to massive amount of data, heterogeneous architecture has been widely adopted in the mainstream storage system. In such systems, load imbalance and scheduler overhead are the primary factors that slow down the I/O performance. In this paper, we propose an effective file scheduling strategy HSPP that includes statistic based file classification, partition with erasure coding and adaptive data placement to optimize load balance and read latency on the distributed heterogeneous storage system. The experiment results show that HSPP is superior than existing strategies in terms of load balance, read latency, and scheduling overhead.",
keywords = "Data partition and placement, Erasure coding, Heterogeneous storage",
author = "Jiazhao Sun and Yunchun Li and Hailong Yang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019 ; Conference date: 09-12-2019 Through 11-12-2019",
year = "2020",
doi = "10.1007/978-3-030-38961-1\_18",
language = "英语",
isbn = "9783030389604",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "200--214",
editor = "Sheng Wen and Albert Zomaya and Yang, \{Laurence T.\}",
booktitle = "Algorithms and Architectures for Parallel Processing - 19th International Conference, ICA3PP 2019, Proceedings",
address = "德国",
}