CLIBE: Precise Cluster-Level I/O Bandwidth Enforcement in Distributed File System
暂无分享,去创建一个
[1] Yuqing Zhu,et al. BigDataBench: A big data benchmark suite from internet services , 2014, 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA).
[2] Carlo Curino,et al. Apache Hadoop YARN: yet another resource negotiator , 2013, SoCC.
[3] GhemawatSanjay,et al. The Google file system , 2003 .
[4] Adam Silberstein,et al. Benchmarking cloud serving systems with YCSB , 2010, SoCC '10.
[5] Xiaobo Zhou,et al. iShuffle: Improving Hadoop Performance with Shuffle-on-Write , 2017, IEEE Transactions on Parallel and Distributed Systems.
[6] Raju Rangaswami,et al. I/O Deduplication: Utilizing content similarity to improve I/O performance , 2010, TOS.
[7] Hairong Kuang,et al. The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).
[8] Tien Van Do,et al. Provision of Disk I/O Guarantee for MapReduce Applications , 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.
[9] Saneyasu Yamaguchi,et al. File Placing Control for Improving the I/O Performance of Hadoop in Virtualized Environment , 2016, 2016 Fourth International Symposium on Computing and Networking (CANDAR).
[10] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[11] HuaShen Shi,et al. Mitigate I/O access pattern divergence with heterogeneous architecture in HDFS , 2015, 2015 4th International Conference on Computer Science and Network Technology (ICCSNT).
[12] Saneyasu Yamaguchi,et al. Improving the I/O Performance in the Reduce Phase of Hadoop , 2015, 2015 Third International Symposium on Computing and Networking (CANDAR).
[13] Scott A. Brandt,et al. Horizon: efficient deadline-driven disk I/O management for distributed storage systems , 2010, HPDC '10.
[14] Yuan Zhou,et al. Adding network bandwidth resource management to Hadoop YARN , 2017, 2017 Seventh International Conference on Information Science and Technology (ICIST).