A self-adapting scalable model for distributed network management
A flexible, dynamic, self-adapting and scalable model is presented for managing large-scale distributed networks. A hierarchical architecture, supporting distributed management based on domain, is adopted. It achieves scalability by modifying the number of components according to the size of network...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2002-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74363060/ |
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| Summary: | A flexible, dynamic, self-adapting and scalable model is presented for managing large-scale distributed networks. A hierarchical architecture, supporting distributed management based on domain, is adopted. It achieves scalability by modifying the number of components according to the size of network. To monitoring network events efficiently, two event types are defined, primitive event and composite event. Event hierarchical processing mechanism can efficiently distribute the loads and improve the reliability of the system. Event composition approach named dynamic time windows can deal with out-of-order sequences of event arrivals due to communication delays in an efficient manner. Moreover, the system can trigger or disable management tasks automatically according to some network events. |
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| ISSN: | 1000-436X |