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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dapeng Dong Herbert, J. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. Coll. Cork, Cork, Ireland (Dapeng Dong; Herbert, J.) |
| 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. |
| Starting Page | 701 |
| Ending Page | 708 |
| File Size | 325470 |
| Page Count | 8 |
| File Format | |
| ISSN | 21596190 |
| e-ISBN | 9780769550282 |
| DOI | 10.1109/CLOUD.2013.19 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Cloud computing Architecture Operation Management Cloud Data models Servers Mathematical model Monitoring Engines |
| Content Type | Text |
| Resource Type | Article |
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