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[ "郭平,博士,重庆大学教授,主要研究方向为云计算、智能信息处理。" ]
[ "冯婷莹,重庆大学硕士研究生,主要研究方向为云计算。" ]
网络出版日期:2012-09,
纸质出版日期:2012-09-15
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郭平, 冯婷莹. 基于变化周期和事件驱动的云计算资源监测模型[J]. 电信科学, 2012,28(9):38-42.
Ping Guo, Tingying Feng. Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven[J]. Telecommunications science, 2012, 28(9): 38-42.
郭平, 冯婷莹. 基于变化周期和事件驱动的云计算资源监测模型[J]. 电信科学, 2012,28(9):38-42. DOI: 10.11959/j.issn.1000-0801.2012.09.007.
Ping Guo, Tingying Feng. Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven[J]. Telecommunications science, 2012, 28(9): 38-42. DOI: 10.11959/j.issn.1000-0801.2012.09.007.
云计算环境下的资源监测是云计算平台资源管理的重要组成部分,为资源分配、任务调度和负载均衡等提供了依据。根据云计算资源的特性,本文提出的资源监测模型结合了动态周期和事件驱动监测,具有良好的时效性、健壮性、松散耦合性以及可扩展性。该模型能够实时收集资源监测信息以及发现云计算中的故障,满足云计算平台特性需求。
Resource monitoring in cloud computing environment is a significant part of cloud computing platform for resource management
which provides a basis for resource allocation
task scheduling and load balancing
etc. According to the characteristics of cloud computing resources
this paper put forward a monitoring model based on dynamic period and event-driven
and it has excellent timeliness
robustness
loose coupling and scalable by combining dynamic period and event-driven monitoring. The model can collect real-time resource monitoring information
and discover the faults of cloud computing environment timely and meet the need of cloud computing platform.
Hayes B . Cloud computing . Commun ACM , 2008 , 57 ( 7 ): 9 ~ 11
Milojicic D . Cloud computing: interview with RUSS daniels and franco travostino . IEEE Internet Computing , 2008 , 12 ( 5 ): 7 ~ 9
Armbrust M , Fox A , Griffith R , et al . Above the clouds: a berkeley view of cloud computing . Communications of the ACM , 2010 , 53 ( 4 ): 50 ~ 58
Wolf F , Mohr B . Hardware-counter based automatic performance analysis of parallel programs . Proceedings of the Conference on Parallel Computing , Dresden, Germany , 2003 : 753 ~ 760
Massie M L , Chun B N , Culler D E . The ganglia distributed monitoring system: design, implementation, and experience . Parallel Computing , Dresden, Germany , 2004 , 30 ( 7 ): 817 ~ 840
Vetter J S , Reed D A . Real-time performance monitoring, adaptive control, and interactive steering of computational grids . The International Journal of High Performance Computing Applications , 2000 , 14 ( 4 ): 357 ~ 366
Shaffer E , Reed D A , Whitmore S , et al . Virtue: performance visualization of parallel and distributed applications . IEEE Computer , 1999 , 32 ( 12 ): 44 ~ 51
Diaz I , Fernandez G , Martinm M J , et al . Integrating the Common Information Model with MDS4 . Proceedings of 2008 9th IEEE/ACM International Conference on Grid Computing , Tsukuba, Japan , 2008 : 298 ~ 303
杨刚 , 随玉磊 . 面向云计算平台自适应资源监测方法 . 计算机工程与应用 , 2009 , 45 ( 29 ): 14 ~ 17
Daniel D , Lovesum S P J . A novel approach for scheduling service request in cloud with trust monitor . Proceedings of 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN 2011) , Thuckalay, India , 2011 : 509 ~ 513
Mdhaffar A , Ben Halima R , Juhnke E , et al . AOP4CSM: an aspect-oriented programming approach for cloud service monitoring . Proceedings of 2011 11th IEEE International Conference on Computer and Information Technology , Pafos, Cyprus , 2011 : 363 ~ 370
Mei Yiduo , Liu Ling , Pu Xing , et al . Performance measurements and analysis of network I/O applications in virtualized cloud . Proceedings of 2010 IEEE 3rd International Conference on Cloud Computing(CLOUD) , Miami, FL, USA , 2010 : 59 ~ 66
Fang Haifeng , Zhao Yiqiang , Zang Hongyong , et al . Performance measurements and analysis of network I/O applications in virtualized cloud . Proceedings of 2010 IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS) , Shanghai, China , 2010 : 67 ~ 74
Samba A . Logical data models for cloud computing architectures . IT Professional , 2012 , 14 ( 1 ): 19 ~ 26
Wei Yi , Blake M B . Service-oriented computing and cloud computing: challenges and opportunities . IEEE Internet Computing , 2010 , 14 ( 6 ): 72 ~ 75
De Chaves S A , Uriarte R B , Westphall C B . Toward an architecture for monitoring private clouds . IEEE Communications Magazine , 2011 , 49 ( 12 ): 130 ~ 137
Meng Shicong , Liu Ling , Wang Ting . State monitoring in cloud datacenters . IEEE Transactions on Knowledge and Data Engineering , 2011 , 23 ( 9 ): 1328 ~ 1344
Goscinski A , Brock M . Toward dynamic and attribute based publication, discovery and selection for cloud computing . Future Generation Computer Systems , 2010 , 26 ( 7 ): 947 ~ 970
Marston S , Li Zhi , Bandyopadhyay S , et al . Cloud computing-the business perspective . Decision Support Systems , 2011 , 51 ( 1 ): 176 ~ 189
Taylor M , Haggerty J , Gresty D , et al . Digital evidence in cloud computing systems . Computer Law &; Security Review , 2010 , 26 ( 3 ): 304 ~ 308
Morrell R , Chandrashekar A . Cloud computing: new challenges and opportunities . Network Security , 2011 ( 10 ): 18 ~ 19
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