Proceedings ArticleDOI
Network traffic characteristics of data centers in the wild
Theophilus Benson,Aditya Akella,David A. Maltz +2 more
- pp 267-280
TLDR
An empirical study of the network traffic in 10 data centers belonging to three different categories, including university, enterprise campus, and cloud data centers, which includes not only data centers employed by large online service providers offering Internet-facing applications but also data centers used to host data-intensive (MapReduce style) applications.Abstract:
Although there is tremendous interest in designing improved networks for data centers, very little is known about the network-level traffic characteristics of data centers today. In this paper, we conduct an empirical study of the network traffic in 10 data centers belonging to three different categories, including university, enterprise campus, and cloud data centers. Our definition of cloud data centers includes not only data centers employed by large online service providers offering Internet-facing applications but also data centers used to host data-intensive (MapReduce style) applications). We collect and analyze SNMP statistics, topology and packet-level traces. We examine the range of applications deployed in these data centers and their placement, the flow-level and packet-level transmission properties of these applications, and their impact on network and link utilizations, congestion and packet drops. We describe the implications of the observed traffic patterns for data center internal traffic engineering as well as for recently proposed architectures for data center networks.read more
Citations
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Journal ArticleDOI
Software-Defined Networking: A Comprehensive Survey
Diego Kreutz,Fernando M. V. Ramos,Paulo Veríssimo,Christian Esteve Rothenberg,Siamak Azodolmolky,Steve Uhlig +5 more
TL;DR: This paper presents an in-depth analysis of the hardware infrastructure, southbound and northbound application programming interfaces (APIs), network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications, and presents the key building blocks of an SDN infrastructure using a bottom-up, layered approach.
Posted Content
Software-Defined Networking: A Comprehensive Survey
Diego Kreutz,Fernando M. V. Ramos,Paulo Veríssimo,Christian Esteve Rothenberg,Siamak Azodolmolky,Steve Uhlig +5 more
TL;DR: Software-Defined Networking (SDN) as discussed by the authors is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network.
Proceedings ArticleDOI
DevoFlow: scaling flow management for high-performance networks
Andrew R. Curtis,Jeffrey C. Mogul,Jean Tourrilhes,Praveen Yalagandula,Puneet Sharma,Sujata Banerjee +5 more
TL;DR: DevoFlow is designed and evaluated, a modification of the OpenFlow model which gently breaks the coupling between control and global visibility, in a way that maintains a useful amount of visibility without imposing unnecessary costs.
Proceedings ArticleDOI
Inside the Social Network's (Datacenter) Network
TL;DR: The contrasting locality, stability, and predictability of network traffic in Facebook's datacenters are reported on, and their implications for network architecture, traffic engineering, and switch design are commented on.
Proceedings ArticleDOI
Understanding network failures in data centers: measurement, analysis, and implications
TL;DR: The first large-scale analysis of failures in a data center network is presented, finding that data center networks show high reliability, commodity switches such as ToRs and AggS are highly reliable, and network redundancy is only 40% effective in reducing the median impact of failure.
References
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Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
Journal ArticleDOI
Wide area traffic: the failure of Poisson modeling
Vern Paxson,Sally Floyd +1 more
TL;DR: It is found that user-initiated TCP session arrivals, such as remote-login and file-transfer, are well-modeled as Poisson processes with fixed hourly rates, but that other connection arrivals deviate considerably from Poisson.
Journal ArticleDOI
A scalable, commodity data center network architecture
TL;DR: This paper shows how to leverage largely commodity Ethernet switches to support the full aggregate bandwidth of clusters consisting of tens of thousands of elements and argues that appropriately architected and interconnected commodity switches may deliver more performance at less cost than available from today's higher-end solutions.
Proceedings Article
Bro: a system for detecting network intruders in real-time
TL;DR: Bro as mentioned in this paper is a stand-alone system for detecting network intruders in real-time by passively monitoring a network link over which the intruder's traffic transits, which emphasizes high-speed (FDDI-rate) monitoring, realtime notification, clear separation between mechanism and policy and extensibility.