计算机科学 ›› 2018, Vol. 45 ›› Issue (5): 295-299.doi: 10.11896/j.issn.1002-137X.2018.05.051
阳小兰,钱程,朱福喜
YANG Xiao-lan, QIAN Cheng and ZHU Fu-xi
摘要： 随着大数据服务领域引入云计算技术,需要调动的云服务资源增多且其拓扑结构变得复杂,因此传统基于服务质量(QoS)的加权评价方法无法动态地评价云计算服务资源的有效性和准确性。针对此问题,文中提出了一种基于博弈优化调度的筛选加权评价方法。此方法引入了用户的体验质量(QoE)评价指标,充分考虑了动态调度的业务和时延特性,通过多个指标的博弈,得到加权评价的参数的纳什均衡点。仿真实验结果表明,所提评估方法能够准确地评价云计算服务资源调度的有效性和准确性,并且适合大数据服务业务的拓展。
| [1] YANG C,HUANG Q,LI Z,et al.Big Data and cloud computing:innovation opportunities and challenges[J].International Journal of Digital Earth,2017,10(1):13-53. [2] MANJUNATH R,AKSHATHA A,BALAJI S.Reverse engi-neering in Big Data using Cloud computing and Open Stack virtual machine[C]∥International Conference on Applied and Theoretical Computing and Communication Technology.IEEE,2017:848-853. [3] LI J,HUANG L,ZHOU Y,et al.Computation Partitioning for Mobile Cloud Computing in a Big Data Environment[J].IEEE Transactions on Industrial Informatics,2017,13(4):2009-2018. [4] ZHOU C,JIANG H,CHEN Y,et al.User interest acquisition by adding home and work related contexts on mobile big data analysis[C]∥2016 IEEE Conference on Computer Communications Workshops(INFOCOM WKSHPS).IEEE,2016:201-206. [5] OTHMAN M,MADANI S A,KHAN S U.A survey of mobile cloud computing application models[J].IEEE Communications Surveys & Tutorials,2014,16(1):393-413. [6] YANG C,HUANG Q,LI Z,et al.Big Data and cloud computing:innovation opportunities and challenges[J].International Journal of Digital Earth,2017,10(1):13-53. [7] ENCK W,GILBERT P,HAN S,et al.TaintDroid:an information-flow tracking system for realtime privacy monitoring on smartphones[J].ACM Transactions on Computer Systems(TOCS),2014,32(2):1-29. [8] ZHANG Y,REN S,LIU Y,et al.A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products[J].Journal of Cleaner Production,2017,142(2):626-641. [9] CHANG R M,KAUFFMAN R J,KWON Y O.Understanding the paradigm shift to computational social science in the pre-sence of big data[J].Decision Support Systems,2014,63(3):67-80. [10] KLAUSER F R,ALBRECHTSLUND A.From self-tracking to smart urban infrastructures:Towards an interdisciplinary research agenda on Big Data[J].Surveillance & Society,2014,12(2):273-286. [11] SIVARAJAH U,KAMAL M M,IRANI Z,et al.Critical analysis of Big Data challenges and analytical methods[J].Journal of Business Research,2017,70(C):263-286. [12] HAKIRI A,GOKHALE A,BERTHOU P,et al.Software-de-fined networking:Challenges and research opportunities for future internet[J].Computer Networks,2014,75:453-471. [13] QIAO S J,HAN N,ZHANG K F,et al.Algorithm for detecting overlapping communities from complex network big data[J].Journal of Software,2017,8(3):631-647.(in Chinese) 乔少杰,韩楠,张凯峰,等.复杂网络大数据中重叠社区检测算法[J].软件学报,2017,28(3):631-647. [14] SONG J,SUN Z Z,MAO K M,et al.Research advance on mapreduce based big data processing platforms and algorithms[J].Journal of Software,2017,8(3):514-543.(in Chinese) 宋杰,孙宗哲,毛克明,等.MapReduce大数据处理平台与算法研究进展[J].软件学报,2017,28(3):514-543. [15] ZHAI J H,ZHANG M Y,WANG T T,et al.K-Nearest neighbor algorithm based on hash technology and MapRecuce[J].Computer Science,2017,4(7):210-214.(in Chinese) 翟俊海,张明阳,王婷婷,等.基于哈希技术和MapReduce的大数据集K-近邻算法[J].计算机科学,2017,44(7):210-214. [16] ZHAO J B,LIU Y X,SONG L B,et al.Application of Big Data Processing and Monitoring Technologies in Landslide Monitoring and Waring System[J].Journal of Chongqing University of Technology(Natural Science),2018,2(2):182-190.(in Chinese) 赵久彬,刘元雪,宋林波,等.大数据关键技术在滑坡监测预警系统中的应用[J].重庆理工大学学报(自然科学),2018,32(2):182-190. |
| No related articles found! |
|
||
首页