Proceedings ArticleDOI
Energy consumption of interactive cloud-based document processing applications
Arun Vishwanath,Fatemeh Jalali,Robert Ayre,Tansu Alpcan,Kerry Hinton,Rodney S. Tucker +5 more
- pp 4212-4216
TLDR
A simple model is developed to estimate the incremental power consumption involved in using interactive cloud services and observes that the volume of traffic generated by a session of the application typically exceeds the amount of data keyed in by the user by more than a factor of 1000.Abstract:
Cloud computing and cloud-based services are a rapidly growing sector of the expanding digital economy Recent studies have suggested that processing a task in the cloud is more energy-efficient than processing the same task locally However, these studies have generally ignored the network transport energy and the additional power consumed by end-user devices when accessing the cloud In this paper, we develop a simple model to estimate the incremental power consumption involved in using interactive cloud services We then apply our model to a representative cloud-based word processing application and observe from our measurements that the volume of traffic generated by a session of the application typically exceeds the amount of data keyed in by the user by more than a factor of 1000 This has important implications on the overall power consumption of the service We provide insights into the reasons behind the observed traffic levels Finally, we compare our estimates of the power consumption with performing the same task on a low-power consuming computer Our study reveals that it is not always energy-wise to use the cloud Performing certain tasks locally can be more energy-efficient than using the cloudread more
Citations
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Journal ArticleDOI
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
Mithun Mukherjee,Lei Shu,Di Wang +2 more
TL;DR: This survey starts by providing an overview and fundamental of fog computing architecture, and provides an extensive overview of state-of-the-art network applications and major research aspects to design these networks.
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.
Proceedings ArticleDOI
Power consumption of IoT access network technologies
TL;DR: The power consumption of a number of potential access network technologies and architectures is modelled for a range of IoT traffic and background network traffic levels and it is shown that shared corporate Wi-Fi network with PON backhaul can be the most energy efficient option.
Journal ArticleDOI
Energy Consumption Comparison of Interactive Cloud-Based and Local Applications
TL;DR: It is demonstrated via extensive packet-level traffic measurements that the volume of traffic generated by a session of the application vastly exceeds the amount of data keyed in by the user, which has important implications on the overall power consumption of the service.
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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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.