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 |
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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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| _version_ | 1841538997338243072 |
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| author | WANG Ping1 ZHAO Hong1 LI Li2 |
| author_facet | WANG Ping1 ZHAO Hong1 LI Li2 |
| author_sort | WANG Ping1 |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8738c0b170d8426a8812c7640475fc50 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2002-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-8738c0b170d8426a8812c7640475fc502025-01-14T07:31:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2002-01-0111812874363060A self-adapting scalable model for distributed network managementWANG Ping1ZHAO Hong1LI Li2A 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.http://www.joconline.com.cn/zh/article/74363060/distributed network managementdomainnetwork eventevent compositiondynamic time windowdynamic configuration |
| spellingShingle | WANG Ping1 ZHAO Hong1 LI Li2 A self-adapting scalable model for distributed network management Tongxin xuebao distributed network management domain network event event composition dynamic time window dynamic configuration |
| title | A self-adapting scalable model for distributed network management |
| title_full | A self-adapting scalable model for distributed network management |
| title_fullStr | A self-adapting scalable model for distributed network management |
| title_full_unstemmed | A self-adapting scalable model for distributed network management |
| title_short | A self-adapting scalable model for distributed network management |
| title_sort | self adapting scalable model for distributed network management |
| topic | distributed network management domain network event event composition dynamic time window dynamic configuration |
| url | http://www.joconline.com.cn/zh/article/74363060/ |
| work_keys_str_mv | AT wangping1 aselfadaptingscalablemodelfordistributednetworkmanagement AT zhaohong1 aselfadaptingscalablemodelfordistributednetworkmanagement AT lili2 aselfadaptingscalablemodelfordistributednetworkmanagement AT wangping1 selfadaptingscalablemodelfordistributednetworkmanagement AT zhaohong1 selfadaptingscalablemodelfordistributednetworkmanagement AT lili2 selfadaptingscalablemodelfordistributednetworkmanagement |