期刊文献+

面向分布式流体系结构的多副本积极容错技术 被引量:1

A triple modular eager redundancy fault-tolerant technique for distributed stream architecture
下载PDF
导出
摘要 随着互联网环境下计算系统规模的不断扩大,分布式流体系结构的可靠性问题面临着严峻的挑战。以多模冗余容错技术为基础,针对软错误提出了一种面向分布式流体系结构的多副本积极容错技术TREFT,利用三个程序副本进行高效的检错与纠错。在分布式流体系结构原型系统上的实验结果表明,该技术能有效提高系统的可靠性,具有较低的容错成本,平均增加10.77%的容错开销。 As computing systems continue to expand in size in the Internet environment, the reliability of the distributed stream architecture is facing serious challenges. Based on the N-modular redundancy technique, we propose a triple modular eager redundancy fault-tolerant method for the distributed stream architecture (TREFT). The TREFT employs three program copies to run the error detection and error correction processes efficiently. Experimental results on a prototype system of the distributed stream architecture show that the TREFT could enhance the reliability of the system at very low cost, increasing the fault-tolerant cost by 10.77% on average.
出处 《计算机工程与科学》 CSCD 北大核心 2015年第12期2233-2241,共9页 Computer Engineering & Science
基金 国家自然科学基金资助项目(61221491 61303071)
关键词 分布式流体系结构 容错技术 三模冗余 distributed stream architecture fault-tolerant technique triple modular redundancy
  • 相关文献

参考文献2

二级参考文献13

  • 1Mell P, Grance T, The NIST definition of cloud computing[R]. NIST, 2011.
  • 2Dean J, Ghemawat S. MapReduce: Simplified data process- .ng on large clusters [J]. Communications of the ACM, 2008, 51(1), 107-113.
  • 3Zaharia M, Das T, Li H, et al. Discretized streams: Fault- tolerant streaming computation at scale [C]///Proc of the 24th ACM Symposium on Operating Systems Principles, 2013: 423-438.
  • 4Xin R S, Rosen ], Zaharia M, eta[. Shark: SQL and rich analytics at scale[C]//Proc of the 2013 ACM SIGMOD In- ternational Conference on Management of DataACM, 2013: 13-24.
  • 5Thusoo A, Sarma J S, Jain N, et al. Hive-a petabyte scale data warehouse using Hadoop[C]//Proc of IEEE 26th Inter- national Conference on Data Engineering, 2010:996-1005.
  • 6Zaharia M, Chowdhury M, Das T, et al. Resilient distribu- ted datasets: A fault-tolerant abstraction for in-Memory clus- ter computing [C]//Proc of the 9th USENIX Conference on Networked Systems Design and Implementation, 2012 : 2.
  • 7Zaharia M, Chowdhury M, Franklin M J, et al. Spark: Cluster computing with working sets [C]//Proe of the 2nd USENIX Conference on Hot Topics in Cloud Computing, 2010:10.
  • 8Foster I, Kesselman C. The Grid 2: Blueprint for a new computing infrastructure [M]. New York:Elsevier, 2003.
  • 9Chawathe Y, Ratnasamy S, Breslau L, et al. Making gnute- lla-like P2P systems scalable[C]//Proc of the 2003 Confer- ence on Applications, Technologies, Architectures, and Pro- tocols for Computer Communications, 2003:407-418.
  • 10Jeffers J, Reinders J. Intel Xeon Phi coprocessor high-per formance programming [J]. San Francisco: Morgan Kauf- mann, 2013.

共引文献12

同被引文献4

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部