• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.9
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• pp.1655-1665
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• 2017

Recently data centers are being constructed actively by many cloud service providers, enterprises, research institutes, etc. Generally, they are built on tree topology using ECMP data forwarding scheme for load balancing. In this paper, we examine data center network topologies like tree topology and fat-tree topology, and load balancing technologies like MLAG and ECMP. Then, we propose a scheduling algorithm to efficiently transmit particular files stored on the hosts in the data center to the destination node outside the data center, where fat-tree topology and OpenFlow protocol between infrastructure layer and control layer are used. We run performance analysis by numerical method, and compare the analysis results with those of ECMP. Through the performance comparison, we show the outperformance of the proposed algorithm in terms of throughput and file transfer completion time.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.57-58
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• 2016

ICT의 보급, 확대는 데이터 센터의 중요성을 높이고 보다 성능이 좋으며 체적 당 소비전력이 큰 서버를 수용할 수 있는 데이터 센터의 수요를 창출하고 있다. 현재 데이터 센터는 데이터 센터 활용 시에 구성요소들에 대한 상당한 대역폭을 필요로 하나 현 데이터센터에 적용된 토폴로지는 고성능 IP 스위치/라우터를 사용하더라도 네트워크 엣지 계층에서는 기본 활용도의 50%의 bandwidth밖에 지원하지 못한다. 따라서 이러한 문제를 해결하기 위해 OMNeT++을 이용하여 데이터 센터 토폴로지 중 하나인 Fat-tree를 모델링하고 데이터 센터 제반 환경을 구축, latency, power consumption, heat dissipation 등의 기준지표를 성능평가 하였다.

• Journal of KIISE:Information Networking
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• v.30 no.4
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• pp.520-534
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• 2003

In this paper, a performance evaluation model of the Fat-tree Network with the multiple-buffered crossbar switches is proposed and examined. Buffered switch technique is well known to solve the data collision problem of the switch network. The proposed evaluation model is developed by investigating the transfer patterns of data packets in a switch with output-buffers. Two important parameters of the network performance, throughput and delay, are then evaluated. The proposed model takes simple and primitive switch networks, i.e., no flow control and drop packet, to demonstrate analysis procedures clearly. It, however, can not only be applied to any other complicate modern switch networks that have intelligent flow control but also estimate the performance of any size networks with multiple-buffered switches. To validate the proposed analysis model, the simulation is carried out on the various sizes of Fat-tree networks that uses the multiple buffered crossbar switches. Less than 2% differences between analysis and simulation results are observed.