Dynamic Bandwidth Management Based on HTB and PCQ

碩士 === 僑光科技大學 === 資訊科技研究所 === 100 === Due to rapidly and increasingly developing the smart phones, many people started using a variety of applications and involving with Internet connections to deal with all kinds of matters. In recent years, the broadband technology has progressively matured, and t...

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Bibliographic Details
Main Authors: Po-Chaio Chang, 張博喬
Other Authors: 徐欽志
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/33049215947480660745
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Summary:碩士 === 僑光科技大學 === 資訊科技研究所 === 100 === Due to rapidly and increasingly developing the smart phones, many people started using a variety of applications and involving with Internet connections to deal with all kinds of matters. In recent years, the broadband technology has progressively matured, and the purpose of this technology is to provide fast and cost-effective services for multi-users. Thus, efficient and correct management of the bandwidth will reduce the network costs. Media streaming and P2P applications load heavily to the Internet and cause the network congestion. Therefore, the properly monitoring and regulating is essential. However, excessive control and limitation will cause a lot of software running unavailingly. This research is studying that under the condition of multi-users and higher complexity of environment existing with the heavy and normal software loading programs at same time, the system is still stable and able to efficiently and fairly guarantee the bandwidth with the right of priority during high loading. With many kinds of communicating and exchanging network services diversification, which result in the condition of occupying the various of data become worse and worse, and QoS(Quality of Service) research are gradually getting attention. This study focuses on network traffic management. We will build a mechanism to control bandwidth by using both of HTB(Hierarchy Token Bucket) and PCQ(Per Connection Queuing) on the Router OS platform. From the experimental analysis, we can find that the HTB & PCQ be able to combine both system merits and excellent performances for peer-to-peer and simple applications.