DocumentCode :
650662
Title :
A Proactive Cloud Management Architecture for Private Clouds
Author :
Dapeng Dong ; Herbert, J.
Author_Institution :
Dept. of Comput. Sci., Univ. Coll. Cork, Cork, Ireland
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
701
Lastpage :
708
Abstract :
Operation management for a private cloud infrastructure faces many challenges including efficient resource allocation, load-balancing, and quick response to real-time workload changes. Traditional manual IT operation management is inadequate for this highly dynamic and complex environment. This work presents a distributed service architecture which is designed to provide an automated, shared, off-site operation management service for private clouds. The service architecture incorporates important concepts such as: Metric Templates for minimising the network overhead for transmission of cloud metrics, a Cloud Snapshot that provides a global view of the current status of the cloud, supporting optimal decision making, and a Calendar-based Data Storage Model to reduce the storage required for cloud metric data and increase analysis performance. A proactive response to cloud events is generated based on statistical analysis of historical metrics and predicted usage. The architecture, functional components and operation management strategies are described. A prototype implementation of the proposed architecture was deployed as a service on the IBM SmartCloud. The effectiveness and usability of the proposed proactive operation management solution has been comprehensively evaluated using a simulated private cloud with dynamic workloads.
Keywords :
cloud computing; decision making; statistical analysis; storage management; IBM SmartCloud; calendar-based data storage model; cloud events; cloud metrics transmission; cloud snapshot; distributed service architecture; dynamic workloads; historical metrics statistical analysis; load-balancing; metric templates; operation management; optimal decision making; performance analysis; private cloud infrastructure; proactive cloud management architecture; real-time workload change; resource allocation; usage prediction; Cloud computing; Data models; Engines; Mathematical model; Measurement; Monitoring; Servers; Architecture; Cloud; Operation Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5028-2
Type :
conf
DOI :
10.1109/CLOUD.2013.19
Filename :
6676759
Link To Document :
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