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  1. Proceedings of the 1st ACM workshop on Research on enterprise networking (WREN '09)
  2. Understanding data center traffic characteristics
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Practical declarative network management
Hash, don't cache: fast packet forwarding for enterprise edge routers
Multicast redux: a first look at enterprise multicast traffic
Change is hard: adapting dependency graph models for unified diagnosis in wired/wireless networks
Diverter: a new approach to networking within virtualized infrastructures
Resonance: dynamic access control for enterprise networks
Crossbow: a vertically integrated QoS stack
Understanding data center traffic characteristics
Remote network labs: an on-demand network cloud for configuration testing
Why should we integrate services, servers, and networking in a data center?
Delegating network security with more information
Understanding TCP incast throughput collapse in datacenter networks
Impact of IT monoculture on behavioral end host intrusion detection

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Understanding data center traffic characteristics

Content Provider ACM Digital Library
Author Akella, Aditya Anand, Ashok Zhang, Ming Benson, Theophilus
Abstract As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In this paper, we present a preliminary empirical study of end-to-end traffic patterns in data center networks that can inform and help evaluate research and operational approaches. We analyze SNMP logs collected at 19 data centers to examine temporal and spatial variations in link loads and losses. We find that while links in the core are heavily utilized the ones closer to the edge observe a greater degree of loss. We then study packet traces collected at a small number of switches in one data center and find evidence of ON-OFF traffic behavior. Finally, we develop a framework that derives ON-OFF traffic parameters for data center traffic sources that best explain the SNMP data collected for the data center. We show that the framework can be used to evaluate data center traffic engineering approaches. We are also applying the framework to design network-level traffic generators for data centers.
Starting Page 65
Ending Page 72
Page Count 8
File Format PDF
ISBN 9781605584430
DOI 10.1145/1592681.1592692
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-08-21
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Data center traffic Traffic modeling
Content Type Text
Resource Type Article
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