ElasticTree: Saving Energy in Data Center Networks

By Brandon Heller, S. Seetharaman, Priya Mahadevan, Yiannis Yiakoumis, P. Sharma, S. Banerjee, Nick McKeown. Symposium on Networked Systems Design and Implementation, 2010

1,103 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b66561e6dd894eec0f79f8dcf6e3bdbbfeb92c26

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Citations in the corpus

FireFly (2014, unknown): “, [29]).”
GreenTE: Power-aware traffic engineering (2010, background): “propose ElasticTree [27], which optimizes the energy consumption of Data Center Networks by turning off unnecessary links and switches during off-peak hours.”
Energy proportional datacenter networks (2010, background): “Heller, et al., recently proposed ElasticTree [11] to save energy in datacenter networks.”
A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks (2014, background): “[53] indicates that much research has been focused on improved servers and cooling (70% of total energy) through better hardware or software management, but the data center’s network infrastructure (which accounts for 10-20% of the total energy cost) still consumed 3 billion kWh in 2006.”
Dynamic scheduling of network updates (2014, background): “Categories and Subject Descriptors: C.2.1 [ComputerCommunication Networks]: Network Architecture and Design— Network communications; C.2.3 [Computer-Communication Networks]: Network Operations—Network management Keywords: Software-defined networking; network update”
It's not easy being green (2012, background): “However, a datacenter can be made power-proportional by shutting off unused servers [28] and switches [18].”
DevoFlow: scaling flow management for high-performance networks (2011, methodology): “Heller et al. [29] route all ﬂows with the controller to achieve energy-aware routing; however, it may be possible to perform energy-aware routing without full ﬂow visibility.”
A NICE Way to Test OpenFlow Applications (2012, background): “A growing collection of controller applications support new network functionality [6–11], over OpenFlow switches available from several different vendors.”
Data Center Energy Consumption Modeling: A Survey (2016, background): “Their energy model can be expressed as [227],”
Software Defined Networking Architecture, Security and Energy Efficiency: A Survey (2017, background): “directly help reduce energy consumption in the SDN-based networks [88], however SDN offers configurations that can help to reduce energy consumption [87], [89].”
Minimizing ISP Network Energy Cost: Formulation and Solutions (2012, background): “In [26], authors have proposed efficient solutions to reduce the energy consumption of switches and links in data-center networks.”
Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks (2016, background): “For example, As a proof, energyaware data link adaptation has been demonstrated in [215] with SDN.”
Energy efficiency in cloud computing data centers: a survey on software technologies (2022, background): “However, scheduling data centre resources necessitates careful consideration of data center traffic patterns [8], client SLAs [9], latency and performance concerns [7], and data replication [10].”
PINT: Probabilistic In-band Network Telemetry (2020, methodology): “, queues status switchID, queue occupancy Power Management [31] Determine under-utilized network elements switchID, port utilization Real-Time Anomaly Detection [66, 86] Detect sudden changes in network status timestamp, port utilization, queue occupancy Static per-flow aggregation Path Tracing [36,”