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Mouse flow
Known as:
Mice flows
In computer networking, a mouse flow is a short (in total bytes) flow set up by a TCP (or other protocol) flow measured over a network link. A mouse…
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Related topics
Related topics
2 relations
Elephant flow
Broader (1)
Network performance
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Design and provisioning of optical wireless data center networks: A traffic grooming approach
Abdulkadir Celik
,
Amer AlGhadhban
,
B. Shihada
,
Mohamed-Slim Alouini
IEEE Wireless Communications and Networking…
2018
Corpus ID: 49187289
Traditional wired data center networks (DCNs) suffer from cabling complexity, lack flexibility, and are limited by the speed of…
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Review
2018
Review
2018
How Many Mice Make an Elephant? Modelling Flow Length and Size Distribution of Internet Traffic
Piotr Jurkiewicz
,
Grzegorz Rzym
,
Piotr Boryło
2018
Corpus ID: 195767614
The efficiency of numerous proposed flow-oriented networking mechanisms strongly depends on traffic characteristics and should…
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2018
2018
HashFlow for Better Flow Record Collection
Zongyi Zhao
,
Xingang Shi
,
Xia Yin
,
Zhiliang Wang
IEEE International Conference on Distributed…
2018
Corpus ID: 54458120
Collecting flow records is a common practice of network operators and researchers for monitoring, diagnosing and understanding a…
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2017
2017
MiFlO: A scheduling algorithm based on mice flows optimization in hybrid data center network
Shuaibing Qiu
,
Xiaoshan Yu
,
Kun Wang
,
Huaxi Gu
International Conference on Optical…
2017
Corpus ID: 46655886
With the rapid development of cloud computing and emerging services, traffic in data center network is experiencing an explosive…
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2016
2016
PFO: Priority-based flow scheduling for online social network datacenter
Xing-cai Zhang
,
Min Ding
,
Runze Wan
IEEE 11th Conference on Industrial Electronics…
2016
Corpus ID: 10385538
Online social networks (OSN) have become a prevalent communication tool with a user scale of billions. Users send messages and…
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2015
2015
SmoteAdaNL: a learning method for network traffic classification
Z. Liu
,
Ruoyu Wang
,
Ming Tao
Journal of Ambient Intelligence and Humanized…
2015
Corpus ID: 6845809
Machine learning based network traffic classification is a critical technique for network management, and has attracted much…
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2015
2015
VirtMonE: Efficient detection of elephant flows in virtualized data centers
Sadia Bashir
,
Nadeem Ahmed
International Telecommunication Networks and…
2015
Corpus ID: 14449768
A modern virtualized data center is highly multifarious environment shared among hundreds of co-located tenants hosting…
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2015
2015
Efficient switch-assisted congestion control for data centers: An implementation and evaluation
A. M. Abdelmoniem
,
B. Bensaou
IEEE International Performance, Computing, and…
2015
Corpus ID: 14337928
This paper discusses the implementation of RWNDQ, a switch-assisted algorithm to improve TCP's congestion control in data center…
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2014
2014
CheetahFlow: Towards low latency software-defined network
Zhiyang Su
,
Ting Wang
,
Yu Xia
,
M. Hamdi
IEEE International Conference on Communications…
2014
Corpus ID: 3693753
Software defined networking (SDN), which enables programmability, has the advantage of global visibility and high flexibility…
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2006
2006
Landmark LRU: an efficient scheme for the detection of elephant flows at internet routers
Lichang Che
,
B. Qiu
IEEE Communications Letters
2006
Corpus ID: 8108939
The detection of elephant flows at routers with partial flow state is vitally important for Internet operation and management…
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