Computer Science ›› 2017, Vol. 44 ›› Issue (8): 46-53.doi: 10.11896/j.issn.1002-137X.2017.08.009
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LIAO Bin, ZHANG Tao, YU Jiong, GUO Bing-lei and LIU Yan
| [1] DEAN J,GHEMAWAT S.MapReduce:Simplified Data Pro-essing on Large Clusters[J].Communication of the ACM,2008,51(1):107-113. [2] DEAN J,GHEMAWAT S.MapReduce:a Flexible Data Pro-cessing Tool[J].Communication of the ACM,2010,53(1):72-77. [3] WANG P,MENG D,ZHAN J F,et al.Review of Programming models for data-Intensive computing[J].Journal of Computer Research and Development,2010,47(11):1993-2002.(in Chinese) 王鹏,孟丹,詹剑锋,等.数据密集型计算编程模型研究进展[J].计算机研究与发展,2010,47(11):1993-2002. [4] CHEN S,SCHLOSSER S.Map-Reduce Meets Wider Varieties of Applications :Technical Report IRPTR-08-05[R].Intel Research Pittsburgh,2008. [5] WHITE B,YEH T,LIN J,et al.Web-Scale Computer Vision using MapReduce for Multimedia Data Mining[C]∥Proceedings of the International Workshop on Multimedia Data Mining.IEEE,2010:1-10. [6] X-RIME.(2015-05-15).http://xrime.sourceforge.net. [7] SHI J,XUE W,WANG W,et al.Scalable Community Detection in Massive Social Networks using MapReduce[J].IBM Journal of Research and Development,2013,57(3/4):1-14. [8] MATSUNAGE A,TSUGAWA M,FORTES J.CloudBLAST:Combining MapReduce and Virtualization on Distributed Resources for Bioinformatics Applications[C]∥Proceedings of the IEEE International Conference on e-Science.IEEE,2008:222-229. [9] WILEY K,CONNOLLY A,GARDNER J P,et al.Astronomy inthe Cloud:Using Mapreduce for Image Co-addition[J].Astronomy,2011,123(901):366-380. [10] LU W,HUANG J,HONG L.Massive Data MapReduce Fingerprint Discriminant Algorithm Based on Hadoop[J].Applied Mechanics and Materials,2013,263(1):2655-2660. [11] TIMES N Y.Power,Pollution and the Internet [EB/OL].[2016-05-02].http://www.nytimes.com/2012/09/23/techno-logy/data-ceneters-waste-vast-amounts-of-energy-belying-industry-image.html. [12] BARROSO L A,HLZLE U.The datacenter as a computer:An introduction to the design of warehouse-scale machines [R].Morgan:Synthesis Lectures on Computer Architecture,Morgan &Claypool Publishers,2009. [13] LIAO B,ZHANG T,YU J,et al.Energy Consumption Modeling and Optimization Analysis for MapReduce[J].Journal of Computer Research and Development,2016,53(9):2107-2131.(in Chinese) 廖彬,张陶,于炯,等.MapReduce能耗建模及优化分析[J].计算机研究与发展,2016,53(9):2107-2131. [14] LIU Y,JING N,CHEN L,et al.Algorithm for processing k-nearest join based on R-tree in MapReduce[J].Journal of Software,2013,24(8):1836-1851.(in Chinese) 刘义,景宁,陈荦,等.MapReduce框架下基于R-树的k-近邻连接算法[J].软件学报,2013,4(8):1836-1851. [15] CHEN Y,KEYS L,KATZ R H.Towards energy effcientmapreduce[R].Berkeley:EECS Department,University of California,2009. [16] LEVERICH J,KOZYRAKIS C.On the energy (in) efficiency of hadoop clusters[J].ACM SIGOPS Operating Systems Review,2010,44(1):61-65. [17] KAUSHIK R T,BHANDARKAR M.GreenHDFS:Towards an energy-conserving,storage-efficient,hybrid hadoop compute clu-ster [C]∥Proceedings of the 2010 International Conference on Power Aware Computing and Systems.Piscataway,NJ:IEEE,2010:1-9. [18] KAUSHIK R T,BHANDARKAR M,NAHRSTEDT K.Evalua-tion and analysis of GreenHDFS:A self-adaptive,energy conserving variant of the hadoop distributed file system [C]∥Procee-dings of the 2nd IEEE International Conference on Cloud Computing Technology and Science.Piscataway,NJ:IEEE,2010:274-287. [19] LANG W,PATEL J M.Energy management for mapreduceclusters[J].Proceedings of the VLDB Endowment,2010,3(1/2):129-139. [20] WIRTZ T,GE R.Improving MapReduce energy efficiency for computation intensive workloads[C]∥2011 International Green Computing Conference and Workshops (IGCC).IEEE,2011:1-8. [21] GOIRI ,LE K,NGUYEN T D,et al.GreenHadoop:leveraging green energy in data-processing frameworks[C]∥Proceedings of the 7th ACM European Conference on Computer Systems.ACM,2012:57-70. [22] CARDOSA M,SINGH A,PUCHA H,et al.Exploiting Spatio-Temporal Tradeoffs for Energy Efficient MapReduce in the Cloud[R].Department of Computer Science and Engineering,University of Minnesota,2010. [23] CHEN Y,GANAPATHI A,KATZ R H.To Compress or Not to Compress-Compute vs.IO Tradeoffs for Mapreduce Energy Efficiency[C]∥Proceedings of the First ACM SIGCOMM Workshop on Green Networking.ACM,2010:23-28. [24] SONG J,LI T T,ZHU Z L,et al.Benchmarking and analyzing the energy consumption of cloud data management system[J].Chinese Journal of Computers,2013,36(7):1485-1499.(in Chinese) 宋杰,李甜甜,朱志良,等.云数据管理系统能耗基准测试与分析[J].计算机学报,2013,6(7):1485-1499. [25] LIAO B,YU J,SUN H,et al.Energy-efficient algorithms for distributed storage system based on data storage structure reconfiguration[J].Journal of Computer Research and Development,2013,50(1):3-18.(in Chinese) 廖彬,于炯,孙华,等.基于存储结构重配置的分布式存储系统节能算法[J].计算机研究与发展,2013,50(1):3-18. [26] LIAO B,YU J,ZHANG T,et al.Energy-efficient algorithms for distributed file system HDFS[J].Chinese Journal of Compu-ters,2013,36(5):1047-1064.(in Chinese) 廖彬,于炯,张陶,等.基于分布式文件系统HDFS的节能算法[J].计算机学报,2013,6(5):1047-1064. [27] LIN J C,LEU F Y,CHEN Y P.Impact of MapReduce Policies on Job Completion Reliability and Job Energy Consumption[J].IEEE Transactions on Parallel & Distributed Systems,2015,26(5):1364-1378. [28] LIAO B,YU J,ZHANG T,et al.Energy-Efficient Algorithms for Distributed Storage System Based on Block Storage Structure Reconfiguration[J].Journal of Network and Computer Applications,2015,48(2):71-86. [29] YANG X Y,YU J,IBRAHIM T,et al.Collaborative filtering model fusing singularity and diffusion process[J].Journal of Software,2013,24(8):1868-1884.(in Chinese) 杨兴耀,于炯,吐尔根·依布拉音,等.融合奇异性和扩散过程的协同过滤模型[J].软件学报,2013,4(8):1868-1884. |
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