SLA-driven dynamic cloud resource management

被引:49
作者
Garcia Garcia, Andres [1 ]
Blanquer Espert, Ignacio [1 ]
Hernandez Garcia, Vicente [1 ]
机构
[1] Univ Politecn Valencia, Inst Instrumentacio & Imatge Mol I3M, Valencia 46022, Spain
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2014年 / 31卷
关键词
Service Level Agreement; Cloud computing; Quality of service; Monitoring; SERVICE;
D O I
10.1016/j.future.2013.10.005
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As the size and complexity of Cloud systems increase, the manual management of these solutions becomes a challenging issue as more personnel, resources and expertise are needed. Service Level Agreement (SLA)-aware autonomic cloud solutions enable managing large scale infrastructure management meanwhile supporting multiple dynamic requirement from users. This paper contributes to these topics by the introduction of Cloudcompaas, a SLA-aware PaaS Cloud platform that manages the complete resource lifecycle. This platform features an extension of the SEA specification WS-Agreement, tailored to the specific needs of Cloud Computing. In particular, Cloudcompaas enables Cloud providers with a generic SEA model to deal with higher-level metrics, closer to end-user perception, and with flexible composition of the requirements of multiple actors in the computational scene. Moreover, Cloudcompaas provides a framework for general Cloud computing applications that could be dynamically adapted to correct the QoS violations by using the elasticity features of Cloud infrastructures. The effectiveness of this solution is demonstrated in this paper through a simulation that considers several realistic workload profiles, where Cloudcompaas achieves minimum cost and maximum efficiency, under highly heterogeneous utilization patterns. (C) 2013 Elsevier B.V. All rights reserved.
引用
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页码:1 / 11
页数:11
相关论文
共 36 条
[21]  
Mastelic Toni, 2012, Proceedings of the 2nd International Conference on Cloud Computing and Services Science (CLOSER 2012), P522
[22]  
Maurer Michael, 2010, Proceedings of the 2010 IEEE Congress on Services (SERVICES-1), P527, DOI 10.1109/SERVICES.2010.26
[23]   Adaptive resource configuration for Cloud infrastructure management [J].
Maurer, Michael ;
Brandic, Ivona ;
Sakellariou, Rizos .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2013, 29 (02) :472-487
[24]  
Phillips S. C., 2011, Proceedings of the 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science (CloudCom 2011), P738, DOI 10.1109/CloudCom.2011.114
[25]  
SIENA, 2012, SIENA ROADM DISTR CO
[26]  
Telefonica I + D, 2012, TEL I D CLAUD PLATF
[27]  
The 4CaaSt Consortium, 2012, BUILD PAAS CLOUD FUT
[28]  
The OPTIMIS Consortium, 2012, OPTIMIS OPT INFR SER
[29]  
The PaaSage Consortium, 2012, PAASAGE MOD BAS CLOU
[30]  
The Reservoir Consortium, 2012, RES SERV VIRT BARR