集群计算环境下的计费系统设计
宋文豪 ( 电子科技大学信息与软件工程学院 )
文 军 ( 电子科技大学信息与软件工程学院 )
姚远哲 ( 电子科技大学信息与软件工程学院 )
https://doi.org/10.37155/2717-5170-0301-8Abstract
集群计算能够为各种应用提供可动态扩展的计算能力、存储空间和信息服务,具有动态可伸缩性、容错性和可用性,然而这些需要大量的节点提供支持,只有为参与服务的节点提供相应的补偿机制,才能提高其参与服务支持的积极性。本文正是对应上面的需求,提出了一种集群服务计费系统。计费系统包括资源采集、计量和计费,资源采集器周期性地采集资源用量信息,传输给计费模块,然后计算出对应的资源消费,其中资源的费率能够根据当前基础设施的负载情况以及服务质量动态地变化。该计费系统的实现能为客户提供资源消耗的计量与计费,并能更好地促进计算服务的发展。
Keywords
集群计算; 计费系统; 资源管理; 系统负载; 服务质量Full Text
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[1]Michael Armbrust,Armando Fox,Rean Griffith,etc.,A view of cloud computing.Commun.ACM 53, 2010(4),50-58.
[2]袁玉宇,胡文博,基于IaaS云计算平台的弹性计费模型,中兴通讯技术, 2012,18(06):34-37.
[3]Cloud A E C,Amazon web services,Retrieved November, 2011,9.
[4]Chappell D,Introducing the windows azure platform,David Chappell & Associates White Paper, 2010.
[5]McGinnis,Thigpen,etc,Accounting and accountability or distributed and grid system,2nd IEEE/ACM International Symposium in Cluster Computing and Grid. 2002(5).
[6]Alexander Barmouta,etc,A grid accounting services architecture for distributed systems sharing and integration, 2006.2.
[7]胡军,崔毅东, OpenStack环境下计费系统的研究,北京:中国科技论文在线.
[8]肖哲彬,基于浮动利率的PaaS平台计量计费系统设计与实现,哈尔滨工业大学, 2017.
[9]Narayan A,Rao S,Ranjan G,et al,Smart metering of cloud services, 2012 IEEE International.IEEE, 2012:1-7.
[10]Borthakur D,HDFS architecture guide,Hadoop Apache Project, 2008,53.
[11]Karun A K,Chitharanjan K,A review on hadoop—HDFS infrastructure extensions, 2013 IEEE Conference on.IEEE, 2013:132-137.
[12]Wu J,Ping L,Ge X,et al,Cloud storage as the infrastructure of cloud computing, 2010 International Conference on.IEEE, 2010:380-383.
[13]Dean J,Ghemawat S,MapReduce:simplified data processing on large clusters,ACM, 2008.
[14]Kim K H,Youn H S,Kang Y C,Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method,IEEE Transactions on Power Systems, 2000,15(2):559-565.
[15]OmPrakash D,Waheed M A,A Virtual Machine Resource Management Method with Millisecond Precision, 2017.
[16]Chen J,System and method for monitoring and managing logistics resource information:U.S. Patent Application 09/973,305, 2003-4-1
[2]袁玉宇,胡文博,基于IaaS云计算平台的弹性计费模型,中兴通讯技术, 2012,18(06):34-37.
[3]Cloud A E C,Amazon web services,Retrieved November, 2011,9.
[4]Chappell D,Introducing the windows azure platform,David Chappell & Associates White Paper, 2010.
[5]McGinnis,Thigpen,etc,Accounting and accountability or distributed and grid system,2nd IEEE/ACM International Symposium in Cluster Computing and Grid. 2002(5).
[6]Alexander Barmouta,etc,A grid accounting services architecture for distributed systems sharing and integration, 2006.2.
[7]胡军,崔毅东, OpenStack环境下计费系统的研究,北京:中国科技论文在线.
[8]肖哲彬,基于浮动利率的PaaS平台计量计费系统设计与实现,哈尔滨工业大学, 2017.
[9]Narayan A,Rao S,Ranjan G,et al,Smart metering of cloud services, 2012 IEEE International.IEEE, 2012:1-7.
[10]Borthakur D,HDFS architecture guide,Hadoop Apache Project, 2008,53.
[11]Karun A K,Chitharanjan K,A review on hadoop—HDFS infrastructure extensions, 2013 IEEE Conference on.IEEE, 2013:132-137.
[12]Wu J,Ping L,Ge X,et al,Cloud storage as the infrastructure of cloud computing, 2010 International Conference on.IEEE, 2010:380-383.
[13]Dean J,Ghemawat S,MapReduce:simplified data processing on large clusters,ACM, 2008.
[14]Kim K H,Youn H S,Kang Y C,Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method,IEEE Transactions on Power Systems, 2000,15(2):559-565.
[15]OmPrakash D,Waheed M A,A Virtual Machine Resource Management Method with Millisecond Precision, 2017.
[16]Chen J,System and method for monitoring and managing logistics resource information:U.S. Patent Application 09/973,305, 2003-4-1
Copyright © 2021 宋文豪, 文 军, 姚远哲 Publishing time:2021-02-28
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