• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.930-939
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• 2021

In recent years, the use of broadband bandwidth and redundant links for stable transmission in networks has resulted in excessive energy consumption and reduced transmission efficiency. In this paper, we propose an optimization algorithm that reduces the number of transmission links and minimizes transmission energy by removing redundant traffic in networks where traffic redundancy is allowed. The optimization algorithm proposed in this paper uses the meta-heuristic method using Tabu search algorithm. The proposed optimization algorithm minimizes transmission energy by designing a neighborhood generation method that efficiently routes overlapping traffic. The performance evaluation of the proposed optimization algorithm was performed in terms of the number of links used to transmit all traffic generated in the network and the transmission energy consumed. From the performance evaluation results, it was confirmed that the proposed algorithm is superior to other algorithms previously proposed.

• Journal of KIISE
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• v.44 no.9
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• pp.976-985
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• 2017

Wireless mesh network (WMN) is a promising technology for building a cost-effective and easily-deployed wireless networking infrastructure. To efficiently utilize limited radio resources in WMNs, packet transmissions (particularly, redundant packet transmissions) should be carefully managed. We therefore propose a lightweight traffic redundancy elimination (LTRE) scheme to reduce redundant packet transmissions in software-defined wireless mesh networks (SD-WMNs). In LTRE, the controller determines the optimal path of each packet to maximize the amount of traffic reduction. In addition, LTRE employs three novel techniques: 1) machine learning (ML)-based information request, 2) ID-based source routing, and 3) popularity-aware cache update. Simulation results show that LTRE can significantly reduce the traffic overhead by 18.34% to 48.89%.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1115-1118
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• 2001

네트워크에 대한 활용 범위가 방대해 지면서, 신뢰성 및 효율성을 가지는 네트워크 관리가 필요하게 되었다. 특히 네트워크 관리에 데이터 마이닝을 이용해 네트워크의 운용 상태에 대한 유용한 정보를 추출하기 위한 기법들이 연구되고 있다. 본 논문에서는 네트워크의 최적화를 위한 하나의 방법으로, 특정 노드의 트래픽 집중 현상을 줄이기 위한 방법을 제안한다. 제안된 방법은 먼저 노드별 트래픽 정보를 표현하고, 수집된 정보들간의 연관성을 가지는 규칙들을 찾으며, 이들 규칙들 중 중복되거나 유용하지 않은 규칙들을 제거하고, 마지막으로 네트워크의 구성 정보를 반영하여 트래픽의 분산에 도움이 되지 않는 정보를 담고 있는 규칙들을 제거한다. 이러한 과정으로 얻어진 규칙들은 새로운 라우팅 정책에 반영하여 병목 현상을 제거하는데 효과적으로 활용할 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.322-325
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• 2017

Due to the rapid increase in data, various studies are being conducted to efficiently manage the data. In 2025, the total amount of data will increase to more than 163 ZB, and more than a quarter of the data will be a real-time data. As mass storage devices is changed from HDD to SSD, SSD needs own way to manage their data effectively. In this paper, we study the SSD system structure and deduplication management methods of data management related to Flash-SSD. We also propose an application level user file system using deduplication. It is anticipated that it saves storage capacity and minimize reducing performance by unnecessary traffic.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8S
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• pp.2735-2747
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• 2000

클라이언트/서버 데이터베이스 시스템에서 로깅 기법을 사용하는 기존 회복 기법은 서버에서만 전체 로그를 관리한다. 이는 잠재적으로 각 클라이언트에서 수행되는 트랜잭션에 대한 로그 레코드의 전송 비용을 내포하고 있고, 네트워크 트래픽을 증가시킨다. 본 논문에서는 로그 레코드의 전송 비용을 제거하기 위해서 클라이언트 기반 로깅(client-based logging)을 지원하고, 중복된 before-image를 제거하고 재수행 전용 로그(redo-only log)만을 로깅하는 방법을 제안한다. 그리고 클라이언트 파손 시 클라이언트에서 자치적으로 한번의 후방향 클라이언트 로그 분석을 이용한 재수행 회복을 하고, 서버 파손 시 각 클라이언트에서는 병행적으로 후방향 클라이언트 로그 분석을 이용하여 회복해야 하는 페이지의 after-image만을 서버에 전송하며, 서버에서는 수신된 after-image와 후방향 서버 로그 분석을 이용하여 재수행 회복을 수행한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.159-162
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• 2005

Confusion of network traffic is increased by increasing of internet user and large of network. Specially olded one and one communication caused loss of bandwidth because redundant packet by increaseing video conference and internet broadcasting. Thereupon multicast technique, method reducing loss of bandwith, for multimedia data transmission was proposed. This paper verify efficiency after analysis about seperated tree management and multicast traffic transmission method for removing complexity of multicast protocal.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.3
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• pp.45-58
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• 2020

In the current trend of increasing network traffic due to the popularization of cloud service and mobile devices, WAN bandwidth is very low compared to LAN bandwidth. In a WAN environment, a WAN optimizer is needed to overcome performance problems caused by transmission protocol, packet loss, and network bandwidth limitations. In this paper, we analyze the data deduplication algorithm of WANProxy, an open source WAN optimizer, and evaluate its performance in terms of network latency and WAN bandwidth. Also, we evaluate the performance of the two-stage compression method of WANProxy and Zstandard. We propose a new method to improve the performance of WANProxy by revising its data deduplication algorithm and evaluate its performance improvement. We perform experiments using 12 data files of Silesia with a data segment size of 2048 bytes. Experimental results show that the average compression rate by WANProxy is 150.6, and the average network latency reduction rates by WANProxy are 95.2% for a 10 Mbps WAN environment and 60.7% for a 100 Mbps WAN environment, respectively. Compared with WANProxy, the two-stage compression of WANProxy and Zstandard increases the average compression rate by 33%. However, it increases the average network latency by 2.1% for a 10 Mbps WAN environment and 5.27% for a 100 Mbps WAN environment, respectively. Compared with WANProxy, our proposed method increases the average compression rate by 34.8% and reduces the average network latency by 13.8% for a 10 Mbps WAN and 12.9% for a 100 Mbps WAN, respectively. Performance analysis results of WANProxy show that its performance improvement in terms of network latency and WAN bandwidth is excellent in a 10Mbps or less WAN environment while superior in a 100 Mbps WAN environment.