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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lu Ma Zhaoming Lu Bangchao Yu Luhan Wang Xiangming Wen |
| Copyright Year | 2015 |
| Description | Author affiliation: Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China (Lu Ma; Zhaoming Lu; Bangchao Yu; Luhan Wang; Xiangming Wen) |
| Abstract | In this paper, a joint reducing energy consumption and improving quality of service scheme for the migration of virtual network resources is proposed. This migration algorithm reflects the state of the virtual network resources dynamically, and the algorithm consists of two parts: Energy-efficient Module and QoS Module. Each Module is responsible for a specific function. The Energy-efficient Module is responsible for the energy consumption of servers, and the QoS Module is responsible for the quality of network service, and it can optimize the target nodes with the relative cost of migration. The efficient and QoS-Aware migration algorithm take the energy consumption and the quality of service into account. The simulation results show that the proposed algorithm can reduce energy consumption to the servers, improve the quality of experience, reduce the latency and achieve the objectives of managing of virtual network quickly and easily. |
| Starting Page | 479 |
| Ending Page | 483 |
| File Size | 466189 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467381253 |
| e-ISBN | 9781467381260 |
| DOI | 10.1109/CompComm.2015.7387619 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Energy consumption Heuristic algorithms QoS Quality of service Virtual resourece Energy efficiency Servers Resource management Virtualization Energy efficient |
| Content Type | Text |
| Resource Type | Article |
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