Software defined data center network with hybrid routing

In the current data center networks, the flow size distribution is not uniform and the transmission performance requirements of elephant flows and mice flows are different. To address this issue, a software-defined hybrid routing (SHR) scheme was proposed. SHR differentiate data flows by statistical...

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Main Authors: Yue-ping CAI, Chang-ping WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016071/
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author Yue-ping CAI
Chang-ping WANG
author_facet Yue-ping CAI
Chang-ping WANG
author_sort Yue-ping CAI
collection DOAJ
description In the current data center networks, the flow size distribution is not uniform and the transmission performance requirements of elephant flows and mice flows are different. To address this issue, a software-defined hybrid routing (SHR) scheme was proposed. SHR differentiate data flows by statistical calculat nt flows utilize the adap-tive routing algorithm while the mice flows use the oblivious routing algorithm. SHR extends the OpenFlow scheme by offloading some basic functions such as flow statistical detection and mice flow forwarding to switches to reduce the switch-controller interaction overhead. Performance evaluations of SHR were carried out using the fat-tree network to-pology. Results show that SHR can effectively increase network throughput and reduce the flow dropping rate as well as packet delay compared with the traditional ECMP algorithm.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2016-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-943a6e4db4bd49f99eed6b14690f249f2025-01-14T06:55:11ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-04-0137445259700255Software defined data center network with hybrid routingYue-ping CAIChang-ping WANGIn the current data center networks, the flow size distribution is not uniform and the transmission performance requirements of elephant flows and mice flows are different. To address this issue, a software-defined hybrid routing (SHR) scheme was proposed. SHR differentiate data flows by statistical calculat nt flows utilize the adap-tive routing algorithm while the mice flows use the oblivious routing algorithm. SHR extends the OpenFlow scheme by offloading some basic functions such as flow statistical detection and mice flow forwarding to switches to reduce the switch-controller interaction overhead. Performance evaluations of SHR were carried out using the fat-tree network to-pology. Results show that SHR can effectively increase network throughput and reduce the flow dropping rate as well as packet delay compared with the traditional ECMP algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016071/cloud computingdata center networksoftware defined networkrouting algorithmOpenFlow
spellingShingle Yue-ping CAI
Chang-ping WANG
Software defined data center network with hybrid routing
Tongxin xuebao
cloud computing
data center network
software defined network
routing algorithm
OpenFlow
title Software defined data center network with hybrid routing
title_full Software defined data center network with hybrid routing
title_fullStr Software defined data center network with hybrid routing
title_full_unstemmed Software defined data center network with hybrid routing
title_short Software defined data center network with hybrid routing
title_sort software defined data center network with hybrid routing
topic cloud computing
data center network
software defined network
routing algorithm
OpenFlow
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016071/
work_keys_str_mv AT yuepingcai softwaredefineddatacenternetworkwithhybridrouting
AT changpingwang softwaredefineddatacenternetworkwithhybridrouting