A robust energy-efficient routing algorithm to cloud computing networks for learning.
文献类型：期刊论文
| 作者 | Jiang, Dingde; Liu, Jindi; Lv, Zhihan; Dang, Shuping; Chen, Gaojie; Shi, Lei |
| 刊名 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
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| 出版日期 | 2016 |
| 英文摘要 | With the advancement of multimedia, Internet of things, and cloud computing technologies, technology enhanced learning applications such as smart school and smart learning at home have been paid more attentions to. Cloud computing services, which provide a novel collaborative and personalized learning style, have an important impact on learning and teaching. However, with the rapid development of cloud computing, the energy consumption problem for cloudcomputing networks cannot be ignored and the idea of energy efficiency comes into being. Currently, the main method to solve energy consumption problem is to turn the idle routers and links into sleeping, but this approach cannot be suited for cloud computing networks and may bring down network resource utility and network performance. This paper combining the Sleeping Redundant Links Algorithm (SRLA) with the Minimum Criticality Routing Algorithm (MCRA), proposes a Robust Energy Efficiency Routing Algorithm (REERA) used for cloud computing networks. The REERA uses the SRLA algorithm to sleep the redundant links in cloud computing backbone network, and then improves the robustness of the entire network by the MCRA algorithm. The REERA is able todynamically change the link weight, ensure that most of the link can be used uniformly, and avoid the traffic congestion when certain links of cloud computingnetworks was excessively used. It thus improves the performance of the entire network. Comparing REERA with OSPF-based algorithm, the simulation results show that REERA outperforms Open Shortest Path First (OSPF) -based algorithm, and REERA can realize the energy-efficient routing algorithm under the premise of network robustness constraints. |
| 收录类别 | SCI |
| 原文出处 | http://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs169090 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10206]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
| 推荐引用方式 GB/T 7714 | Jiang, Dingde,Liu, Jindi,Lv, Zhihan,et al. A robust energy-efficient routing algorithm to cloud computing networks for learning.[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2016. |
| APA | Jiang, Dingde,Liu, Jindi,Lv, Zhihan,Dang, Shuping,Chen, Gaojie,&Shi, Lei.(2016).A robust energy-efficient routing algorithm to cloud computing networks for learning..JOURNAL OF INTELLIGENT & FUZZY SYSTEMS. |
| MLA | Jiang, Dingde,et al."A robust energy-efficient routing algorithm to cloud computing networks for learning.".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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