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| Title | A simulation and prediction model for internet traffic and QoS based on 1-step markov-chain |
| Creator | 姜國輝 Chiang, Johannes K. Lin, Yao Hung |
| Contributor | 資訊管理學系 |
| Key Words | Chains; Commerce; Competition; Design; Internet; Markov processes; Quality of service; Routing algorithms; World Wide Web; Internet exchanges; Internet modeling; Internet service providers (ISP); Network design; Routing strategies; Internet service providers |
| Date | 2014-03 |
| Date Issued | 17-Aug-2017 11:24:03 (UTC+8) |
| Summary | It is very difficult to predict long-term network traffic behavior in a large-scale network such as Internet. Due to the competition among ISPs and Internet exchanges (IXs), Internet users always experience different kinds of QoS, that effectively affect the network traffic. Accordingly, this paper designs a traffic model in the IX environment based on 1-step Markov Chain. The model simulates the IX-competition behavior. IX providers` market share will be diluted through market competition. This paper considers the ISP business relationship with respect to the current Internet situation in most countries of the world. Routing designs and service binding strategies are also proposed in the study. The routing strategies vary with different competing environments. The model is thus meant to lead competitive capacity allocation strategies. © 2014 IEEE. |
| Relation | Proceedings - UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, UKSim 2014, 468-473 16th UKSim-AMSS International Conference on Computer Modelling and Simulation, UKSim 2014; Emmanuel CollegeCambridge; United Kingdom; 26 March 2014 到 28 March 2014; 類別編號E4923; 代碼 111682 |
| Type | conference |
| DOI | http://dx.doi.org/10.1109/UKSim.2014.99 |
| dc.contributor | 資訊管理學系 | zh_Tw |
| dc.creator (作者) | 姜國輝 | zh_TW |
| dc.creator (作者) | Chiang, Johannes K. | en_US |
| dc.creator (作者) | Lin, Yao Hung | en_US |
| dc.date (日期) | 2014-03 | en_US |
| dc.date.accessioned | 17-Aug-2017 11:24:03 (UTC+8) | - |
| dc.date.available | 17-Aug-2017 11:24:03 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Aug-2017 11:24:03 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/112001 | - |
| dc.description.abstract (摘要) | It is very difficult to predict long-term network traffic behavior in a large-scale network such as Internet. Due to the competition among ISPs and Internet exchanges (IXs), Internet users always experience different kinds of QoS, that effectively affect the network traffic. Accordingly, this paper designs a traffic model in the IX environment based on 1-step Markov Chain. The model simulates the IX-competition behavior. IX providers` market share will be diluted through market competition. This paper considers the ISP business relationship with respect to the current Internet situation in most countries of the world. Routing designs and service binding strategies are also proposed in the study. The routing strategies vary with different competing environments. The model is thus meant to lead competitive capacity allocation strategies. © 2014 IEEE. | en_US |
| dc.format.extent | 205 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Proceedings - UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, UKSim 2014, 468-473 | en_US |
| dc.relation (關聯) | 16th UKSim-AMSS International Conference on Computer Modelling and Simulation, UKSim 2014; Emmanuel CollegeCambridge; United Kingdom; 26 March 2014 到 28 March 2014; 類別編號E4923; 代碼 111682 | en_US |
| dc.subject (關鍵詞) | Chains; Commerce; Competition; Design; Internet; Markov processes; Quality of service; Routing algorithms; World Wide Web; Internet exchanges; Internet modeling; Internet service providers (ISP); Network design; Routing strategies; Internet service providers | en_US |
| dc.title (題名) | A simulation and prediction model for internet traffic and QoS based on 1-step markov-chain | en_US |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1109/UKSim.2014.99 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/UKSim.2014.99 |