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Journal of Engineering and Applied Sciences
Year: 2017 | Volume: 12 | Issue: 12 | Page No.: 3183-3187
DOI: 10.36478/jeasci.2017.3183.3187  
Chunk Replacement Design for QoS Control in CCN
Won- Jun Choi , Jai- Seung Kwak , Ramneek- Sekhon and Woo-Jin Seok
 
Abstract: Content Centric Networks (CCN) is one of the future internet technologies. The Quality of Service (QoS) is also important issue in CCN. However, the current CCN chunk replacement method is not suitable for QoS. Therefore, this study propose a new chunk replacement design to support QoS efficiently. The proposed method manages the average of packet arrival time in CCN node and classifying packet separately for QoS service in CCN. This study also simulates the proposed new chunk replacement design in congested topology. This study proposes chunk replacement mechanism on the CCN. Even if the chunk request time of flow number 1 and 2 is same, the throughput on request node can be different. If the transmission rate of flow is faster than other flows, the flow can occupy the total current bandwidth. Therefore, the other flows cannot use current bandwidth sufficiently. In the simulation, the proposed method set the same start time of each flow and changed the transmission rate of each flow so that the proposed method can check the throughput of each flow. The most of the previous method still have the problem of different throughput. In this study, the consumer node is using the proposed chunk replacement algorithm. The flow that arrives later is using the same bandwidth compared to other flows in the limited network circumstance. Therefore, the throughput is not different according to the transmission rate. The proposed method will be also an efficient method for QoS. To demonstrate chuck replacement algorithm, topology is composed of linked 6 nodes with 3 consumer nodes and 3 producer nodes to prove its performance.
 
How to cite this article:
Won- Jun Choi, Jai- Seung Kwak, Ramneek- Sekhon and Woo-Jin Seok, 2017. Chunk Replacement Design for QoS Control in CCN. Journal of Engineering and Applied Sciences, 12: 3183-3187.
DOI: 10.36478/jeasci.2017.3183.3187
URL: http://medwelljournals.com/abstract/?doi=jeasci.2017.3183.3187