[1] |
Xin J, Wang Z,Chen C,et al.ELM*:Distributed extreme learning machine with MapReduce[J].World Wide Web,2014,17:1189-1204.
|
[2] |
Dean J,Ghemawat S.MapReduce:A flexible data processing tool[J].Communications of the ACM,2010,53(1):72-77.
|
[3] |
Shvachko K,Kuang H,Radia S,et al.The Hadoop distributed file system[C]∥Proc of 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies,2010:1-10.
|
[4] |
Zaharia M,Chowdhury M,Franklin M J,et al.Spark:Cluster computing with working sets[C]∥Proc of the 2nd USENIX Workshop on Hot Topics in Cloud Computing,2010:1-8.
|
[5] |
Carbone P,Katsifodimos A,Ewen S,et al.Apache FlinkTM:Stream and batch processing in a single engine[J].Bulletin of the IEEE Computer Society Technical Committee on Data Engineering,2015,36(4):28-38.
|
[6] |
Kleppmann M,Kreps J.Kafka,Samza and the Unix philosophy of distributed data[J].IEEE Data Engineering Bulletin, 2015,38(4):4-14.
|
[7] |
Carle S,Provencher S,Surprenant C.Real time aggregation and filtering of local data feeds:U.S.Patent Application 12/790,568[P].2011-8-18.
|
[8] |
Li M,Liu M,Ding L P,et al.Event stream processing with out-of-order data arrival[C]∥Proc of the 27th International Conference on Distributed Computing Systems Workshops,2007:67.
|
[9] |
Shukla A K. Real time data stream aggregation and window- ing[J]. International Journal of Advanced Research in Computer Science, 2017, 8(7):816-819.
|
[10] |
Affetti L,Tommasini R,Margara A,et al.Defining the execution semantics of stream processing engines[J].Journal of Big Data,2017,4(1):1-24.
|
[11] |
Akidau T, Bradshaw R,Chambers C,et al.The dataflow model:A practical approach to balancing correctness,latency,and cost in massive-scale,unbounded,out-of-order data processing[J].Proceedings of the ULDB Endowment,2015,8(2):1792-1803.
|
[12] |
Bhatt N,Thakkar A.Experimental analysis on processing of unbounded data[J].International Journal of Innovative Technology and Exploring Engineering,2019,8(9):2226-2230.
|
[13] |
Bhatt N,Thakkar A.Big data stream processing:Latency and throughput[J].Big Data Stream Analytics, 2019,28:1429-1435.
|
[14] |
Gao Zi-juan,Zhu Yu-quan,Chen Geng. Streaming data cluster algorithm based on changeable sliding window[J]. Application Research of Computers, 2011,28(2):551-553.(in Chinese)
|
[15] |
Xu Jiang,Zhang Hong-yu,Li Jun-huai,et al. Parallel processing method of stream data based on sliding window[J]. Heavy Machinery,2021(1):29-36.(in Chinese)
|
[16] |
Wu Li-xian,Lin Yu-jie,Chen Hao-sheng,et al. Research on real-time flow processing technology based on massive machine data[J]. Microcomputer Applications,2021,37(11):185-187.(in Chinese)
|
[17] |
Ma Qing-yun,Ji Hang-xu,Zhao Yu-hai,et al. An efficient data partitioning method in distributed heterogeneous bandwidth environment[J]. Journal of Computer Research and Development,2020,57(12):2683-2693.(in Chinese)
|
|
附中文参考文献:
|
[14] |
高自娟,朱玉全,陈耿.基于变尺度滑动窗口的流数据聚类算法[J].计算机应用研究,2011,28(2):551-553.
|
[15] |
徐江,张鸿宇,李军怀,等.基于滑动窗口的流数据并行处理方法[J].重型机械,2021(1):29-36.
|
[16] |
吴丽贤,林钰杰,陈灏生,等.基于海量机器数据的实时流处理技术研究[J].微型电脑应用,2021,37(11):185-187.
|
[17] |
马卿云,季航旭,赵宇海,等.一种分布式异构带宽环境下的高效数据分区方法[J].计算机研究与发展,2020,57(12):2683-2693.
|