Proceedings ArticleDOI
Estimating the energy consumption for packet processing, storage and switching in optical-IP routers
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A methodology to empirically quantify the energy consumption associated with packet processing, storage and switching in high-capacity routers is developed and provides valuable insights for improving the energy efficiency of routing equipment and networks.Abstract:
We develop a methodology to empirically quantify the energy consumption associated with packet processing, storage and switching in high-capacity routers. Our approach provides valuable insights for improving the energy efficiency of routing equipment and networks.read more
Citations
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Journal ArticleDOI
Fog Computing May Help to Save Energy in Cloud Computing
TL;DR: It is shown that nano servers in Fog computing can complement centralized DCs to serve certain applications, mostly IoT applications for which the source of data is in end-user premises, and lead to energy saving if the applications are off-loadable from centralizedDCs and run on nDCs.
Journal ArticleDOI
Modeling Energy Consumption in High-Capacity Routers and Switches
TL;DR: A new power model and a vendor-agnostic methodology that permits quantifying the energy efficiency of Internet equipment at a more fundamental level, i.e., at the granularity of per-packet processing, and per-byte store and forward packet handling operations is developed.
Journal ArticleDOI
A Large-scale Behavioural Analysis of Bots and Humans on Twitter
TL;DR: A comparative analysis of the usage and impact of bots and humans on Twitter—one of the largest OSNs in the world— draws clear differences and interesting similarities between the two entities.
Journal ArticleDOI
Energy Efficient Fog-Based Healthcare Monitoring Infrastructure
TL;DR: In this article, the authors proposed a new fog computing architecture for health monitoring applications based on a Gigabit Passive Optical Network (GPON) access network and developed an Energy-Efficient Fog Computing (EEFC) model to optimize the number and location of fog devices at the network edge to process and analyze the health data for energy-efficient fog computing.
Proceedings ArticleDOI
Energy consumption of photo sharing in online social networks
Fatemeh Jalali,Chrispin Gray,Arun Vishwanath,Robert Ayre,Tansu Alpcan,Kerry Hinton,Rodney S. Tucker +6 more
TL;DR: This paper provides a comprehensive framework and a set of measurements for understanding the energy consumption of cloud applications such as photo sharing in social networks and indicates that achieving an energy-efficient cloud service requires energy efficiency improvement in the transport network and end-user devices along with the related data centers.
References
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Book ChapterDOI
A Power Benchmarking Framework for Network Devices
TL;DR: The hurdles in network power instrumentation are described and a power measurement study of a variety of networking gear such as hubs, edge switches, core switches, routers and wireless access points in both stand-alone mode and a production data center are presented.
Proceedings ArticleDOI
Profiling per-packet and per-byte energy consumption in the NetFPGA Gigabit router
TL;DR: This paper uses a precise hardware-based traffic generator and high-fidelity energy probe to decompose the energy consumption of the NetFPGA routing card into fine-grained per-packet and per-byte components with reasonable accuracy, and provides a benchmark against which energy improvements arising from new architectures and protocols can be evaluated.
Proceedings ArticleDOI
Adapting router buffers for energy efficiency
TL;DR: This work proposes a simple and practical algorithm for activating buffers incrementally as needed and putting them to sleep when not in use, and shows that much of the energy associated with off-chip packet buffers can be eliminated with negligible impact on traffic performance.