计算机科学 ›› 2018, Vol. 45 ›› Issue (6A): 270-274.
江伟1,2,陈羽中1,2,3,黄启成1,2,刘漳辉1,2,刘耿耿1,2
JIANG Wei1,2,CHEN Yu-zhong1,2,3,HUANG Qi-cheng1,2,LIU Zhang-hui1,2,LIU Geng-geng1,2
摘要: 云计算是一种基于信息网络的计算模式和服务模式,它将信息技术资源以服务方式动态、弹性地提供给用户,使用户可以按需使用。由于受到主机的启动时间、资源分配时间以及任务调度时间等因素的影响,在云环境下提供给用户的服务存在时延问题。因此,工作负载预测是云环境下一种重要的能源优化的方式。此外,由于云中工作负载的变化具有十分大的波动性,因此增加了预测模型的预测难度。提出了一种基于自回归模型和Elman神经网络的预测模型(Hybrid Auto Regressive Moving Average model and Elman neural network,HARMA-E),其使用ARMA模型进行预测,再使用ENN模型对ARMA模型的误差进行预测,通过修正ARMA的输出值得到最终的预测值。仿真实验结果表明,该预测模型能够较好地提升主机负载预测值的准确度。
中图分类号:
[1]LEAVITT N.Is Cloud Computing Really Ready for Prime Time?[J].IEEE Computer Society Press,2009,42(1):15-20. [2]GILLETT F E.Future view:the new tech ecosystems of cloud,cloud services,and cloud Computing[R].America:Forrester Research,2008:1-17. [3]余江,万劲波,张越.推动中国云计算技术与产业创新发展的战略思考[J].中国科学院院刊,2015,30(2):181-186. [4]BARATI M,SHARIFIAN S.A hybrid heuristic-based tuned support vector regression model for cloud load prediction[J].The Journal of Supercomputing,2015,71(11):4235-4259. [5]FOO Y W,GOH C,LIM H C,et al.Evolutionary Neural Network Modeling for Energy Prediction of Cloud Data Centers[C]∥International Symposium on Grids and Clouds.2016:12-25. [6]ADHIKARI R,AGRAWAL R K.A novel weighted ensemble technique for time series forecasting[C]∥Pacific-Asia Confe-rence on Advances in Knowledge Discovery and Data Mining.Springer-Verlag,2012:38-49. [7]SMITH C,JIN Y.Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction[J].Neurocomputing,2014,143(16):302-311. [8]CETINSKI K,JURIC M B.AME-WPC:Advanced model for efficient workload prediction in the cloud[J].Journal of Network &Computer Applications,2015,55(1):191-201. [9]ZHAO Q,FENG G,GAO R,et al.A Mixed-Prediction based Method for Allocating Cloud Computing Resources[J].International Journal of Grid & Distributed Computing,2015,8(2):201-212. [10]BATES J M,GRANGER C W J.Combination of forecasts[J].Operational Research Quarterly,1969,20(4):451-468. [11]BOX G E P,JENKINS G M.Time Series Analysis:Forecasting and Control(3rd edn)[M].California:Holden-Day,1970. [12]王行建,刘欣.ARMA时间序列模型的研究与应用[J].自动化技术与应用,2008,27(8):65-66,61. [13]LIM C P,GOH W Y.The application of an ensemble of boosted Elman networks to time series prediction:A benchmark study[J].Journal of Computational Intelligence,2005,3(2):119-126. [14]XU D Y,YANG S L,LIU R P.A mixture ofHMM,GA,and Elman network for load prediction in cloud oriented data centers[J].Journal of Zhejiang University Science C(Computers and Electronics),2013(11):845-858. [15]丛爽,戴谊.递归神经网络的结构研究[J].计算机应用,2004,24(8):18-20. [16]AKAIKE H.A new look at the statistical identifiation model [J].IEEE Transactions on Automatic Control,1974,19(6):716-723. |
[1] | 高诗尧, 陈燕俐, 许玉岚. 云环境下基于属性的多关键字可搜索加密方案 Expressive Attribute-based Searchable Encryption Scheme in Cloud Computing 计算机科学, 2022, 49(3): 313-321. https://doi.org/10.11896/jsjkx.201100214 |
[2] | 王政, 姜春茂. 一种基于三支决策的云任务调度优化算法 Cloud Task Scheduling Algorithm Based on Three-way Decisions 计算机科学, 2021, 48(6A): 420-426. https://doi.org/10.11896/jsjkx.201000023 |
[3] | 潘瑞杰, 王高才, 黄珩逸. 云计算下基于动态用户信任度的属性访问控制 Attribute Access Control Based on Dynamic User Trust in Cloud Computing 计算机科学, 2021, 48(5): 313-319. https://doi.org/10.11896/jsjkx.200400013 |
[4] | 陈玉平, 刘波, 林伟伟, 程慧雯. 云边协同综述 Survey of Cloud-edge Collaboration 计算机科学, 2021, 48(3): 259-268. https://doi.org/10.11896/jsjkx.201000109 |
[5] | 王文娟, 杜学绘, 任志宇, 单棣斌. 基于因果知识和时空关联的云平台攻击场景重构 Reconstruction of Cloud Platform Attack Scenario Based on Causal Knowledge and Temporal- Spatial Correlation 计算机科学, 2021, 48(2): 317-323. https://doi.org/10.11896/jsjkx.191200172 |
[6] | 蒋慧敏, 蒋哲远. 企业云服务体系结构的参考模型与开发方法 Reference Model and Development Methodology for Enterprise Cloud Service Architecture 计算机科学, 2021, 48(2): 13-22. https://doi.org/10.11896/jsjkx.200300044 |
[7] | 毛瀚宇, 聂铁铮, 申德荣, 于戈, 徐石成, 何光宇. 区块链即服务平台关键技术及发展综述 Survey on Key Techniques and Development of Blockchain as a Service Platform 计算机科学, 2021, 48(11): 4-11. https://doi.org/10.11896/jsjkx.210500159 |
[8] | 王勤, 魏立斐, 刘纪海, 张蕾. 基于云服务器辅助的多方隐私交集计算协议 Private Set Intersection Protocols Among Multi-party with Cloud Server Aided 计算机科学, 2021, 48(10): 301-307. https://doi.org/10.11896/jsjkx.210300308 |
[9] | 张恺琪, 涂志莹, 初佃辉, 李春山. 基于排队论的服务资源可用性相关研究综述 Survey on Service Resource Availability Forecast Based on Queuing Theory 计算机科学, 2021, 48(1): 26-33. https://doi.org/10.11896/jsjkx.200900211 |
[10] | 雷阳, 姜瑛. 云计算环境下关联节点的异常判断 Anomaly Judgment of Directly Associated Nodes Under Cloud Computing Environment 计算机科学, 2021, 48(1): 295-300. https://doi.org/10.11896/jsjkx.191200186 |
[11] | 徐蕴琪, 黄荷, 金钟. 容器技术在科学计算中的应用研究 Application Research on Container Technology in Scientific Computing 计算机科学, 2021, 48(1): 319-325. https://doi.org/10.11896/jsjkx.191100111 |
[12] | 李彦, 申德荣, 聂铁铮, 寇月. 面向加密云数据的多关键字语义搜索方法 Multi-keyword Semantic Search Scheme for Encrypted Cloud Data 计算机科学, 2020, 47(9): 318-323. https://doi.org/10.11896/jsjkx.190800139 |
[13] | 马潇潇, 黄艳. 大属性可公开追踪的密文策略属性基加密方案 Publicly Traceable Accountable Ciphertext Policy Attribute Based Encryption Scheme Supporting Large Universe 计算机科学, 2020, 47(6A): 420-423. https://doi.org/10.11896/JsJkx.190700131 |
[14] | 金小敏, 滑文强. 移动云计算中面向能耗优化的资源管理 Energy Optimization Oriented Resource Management in Mobile Cloud Computing 计算机科学, 2020, 47(6): 247-251. https://doi.org/10.11896/jsjkx.190400020 |
[15] | 孙敏, 陈中雄, 叶侨楠. 云环境下基于HEDSM的工作流调度策略 Workflow Scheduling Strategy Based on HEDSM Under Cloud Environment 计算机科学, 2020, 47(6): 252-259. https://doi.org/10.11896/jsjkx.190400047 |
|