Green Networking '10最新文献

How internet concepts and technologies can help green and smarten the electrical grid 互联网概念和技术如何帮助电网实现绿色和智能化

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851298

S. Keshav, C. Rosenberg

{"title":"How internet concepts and technologies can help green and smarten the electrical grid","authors":"S. Keshav, C. Rosenberg","doi":"10.1145/1851290.1851298","DOIUrl":"https://doi.org/10.1145/1851290.1851298","url":null,"abstract":"Several powerful forces are gathering to make fundamental and irrevocable changes to the century-old grid. The next-generation grid, often called the 'smart grid,' will feature distributed energy production, vastly more storage, tens of millions of stochastic renewable-energy sources, and the use of communication technologies both to allow precise matching of supply to demand and to incentivize appropriate consumer behaviour. These changes will have the effect of reducing energy waste and reducing the carbon footprint of the grid, making it 'smarter' and 'greener.' In this position paper, we discuss how the concepts and techniques pioneered by the Internet, the fruit of four decades of research in this area, are directly applicable to the design of a smart, green grid. This is because both the Internet and the electrical grid are designed to meet fundamental needs, for information and for energy, respectively, by connecting geographically dispersed suppliers with geographically dispersed consumers. Keeping this and other similarities (and fundamental differences, as well) in mind, we propose several specific areas where Internet concepts and technologies can contribute to the development of a smart, green grid. We also describe some areas where the Internet operations can be improved based on the experience gained in the electrical grid. We hope that our work will initiate a dialogue between the Internet and the smart grid communities.","PeriodicalId":223413,"journal":{"name":"Green Networking '10","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

To compress or not to compress - compute vs. IO tradeoffs for mapreduce energy efficiency 压缩还是不压缩——计算vs. IO对mapreduce能源效率的权衡

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851296

Yanpei Chen, A. Ganapathi, R. Katz

引用次数: 107

Breathe to stay cool: adjusting cell sizes to reduce energy consumption 呼吸保持凉爽:调整电池大小，以减少能源消耗

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851300

Sourjya Bhaumik, G. Narlikar, Subhendu Chattopadhyay, S. Kanugovi

引用次数: 147

Greening backbone networks: reducing energy consumption by shutting off cables in bundled links 绿化骨干网络:通过切断捆绑链路中的电缆来减少能源消耗

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851297

Will Fisher, Martin Suchara, J. Rexford

{"title":"Greening backbone networks: reducing energy consumption by shutting off cables in bundled links","authors":"Will Fisher, Martin Suchara, J. Rexford","doi":"10.1145/1851290.1851297","DOIUrl":"https://doi.org/10.1145/1851290.1851297","url":null,"abstract":"In backbone networks, the line cards that drive the links between neighboring routers consume a large amount of energy. Since these networks are typically overprovisioned, selectively shutting down links during periods of low demand seems like a good way to reduce energy consumption. However, removing entire links from the topology often reduces capacity and connectivity too much, and leads to transient disruptions in the routing protocol. In this paper, we exploit the fact that many links in core networks are actually 'bundles' of multiple physical cables and line cards that can be shut down independently. Since identifying the optimal set of cables to shut down is an NP-complete problem, we propose several heuristics based on linear optimization techniques. We evaluate our heuristics on topology and traffic data from the Abilene backbone as well as on two synthetic topologies. The energy savings are significant, our simplest heuristic reduces energy consumption by 79% on Abilene under realistic traffic loads and bundled links consisting of five cables. Our optimization techniques run efficiently using standard optimization tools, such as the AMPL/CPLEX solver, making them a practical approach for network operators to reduce the energy consumption of their backbones.","PeriodicalId":223413,"journal":{"name":"Green Networking '10","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114389122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 263

Shipping to streaming: is this shift green? 向流媒体传输:这种转变是绿色的吗?

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851304

A. Seetharam, Manikandan Somasundaram, D. Towsley, J. Kurose, P. Shenoy

引用次数: 34

Reducing energy consumption in IPTV networks by selective pre-joining of channels 通过选择性的信道预加入来降低IPTV网络的能耗

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851301

Fernando M. V. Ramos, R. Gibbens, Fei Song, P. Rodriguez, J. Crowcroft, I. White

{"title":"Reducing energy consumption in IPTV networks by selective pre-joining of channels","authors":"Fernando M. V. Ramos, R. Gibbens, Fei Song, P. Rodriguez, J. Crowcroft, I. White","doi":"10.1145/1851290.1851301","DOIUrl":"https://doi.org/10.1145/1851290.1851301","url":null,"abstract":"IPTV services are the fastest growing television services in the world today. This is a bandwidth intensive service, requiring low latency and tight control of jitter. To guarantee the quality of service required, service providers opt to multicast all TV channels at all times to everywhere. However, a significant number of channels are rarely watched, so this method is provably resource- and energy-inefficient.\u0000 In this paper, we argue that the expected increase in quantity and quality of TV channels will become a serious issue, both in terms of bandwidth and energy costs. To overcome this problem, we propose a dynamic scheme that pre-joins only a selection of TV channels. This scheme was evaluated by means of trace-driven simulations using a large dataset from a commercial nationwide IPTV service. The dataset comprises 255 thousand users, 150 TV channels, and covers a 6-month period.\u0000 We show that by using our scheme IPTV service providers can save a considerable amount of bandwidth while affecting only a very small number of TV channel switching requests. To understand how these bandwidth savings are translated in energy savings, we developed a power consumption model for network equipment based on real measurements. The main conclusions are that while today the bandwidth savings will have reduced impact in energy consumption in the core network, with the introduction of very high definition channels this impact will become significant, justifying the use of resource-efficient distribution schemes such as the one proposed.","PeriodicalId":223413,"journal":{"name":"Green Networking '10","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127515469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Energy proportionality of an enterprise network 企业网络的能量比例

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851302

Priya Mahadevan, S. Banerjee, P. Sharma

{"title":"Energy proportionality of an enterprise network","authors":"Priya Mahadevan, S. Banerjee, P. Sharma","doi":"10.1145/1851290.1851302","DOIUrl":"https://doi.org/10.1145/1851290.1851302","url":null,"abstract":"Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. While strategies for lowering the energy consumption of network devices have been proposed, what is lacking is a comprehensive measurement study conducted across a large network (such as an enterprise), that monitors power usage as a function of traffic flowing through the network. We present a large power profile study that we conducted in an enterprise network, comprising of 90 live switches from various vendors. We first describe Urja, the system that we built, that collects required configurations from a wide variety of deployed switches and uses them to accurately predict the power consumed by individual devices and the network as a whole. Urja is vendor neutral, and relies on standard SNMP MIBs to gather the required configuration and traffic information. Further, based on available knobs in current devices, the analysis engine in Urja lists various configuration and rewiring changes that can be made to the devices in order to make the network more energy proportional. Urja has been deployed in an enterprise sub-network for about 4 months; through comprehensive analysis of the data collected over this period, we present various changes (in increasing order of cost and complexity) that network administrators can perform; in this segment of an enterprise network, we can save over 30% of the network energy through simple configuration and rewiring changes, and without any performance impact.","PeriodicalId":223413,"journal":{"name":"Green Networking '10","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116384999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 51

How green is IP-telephony? ip电话有多环保?

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851306

Salman Baset, Joshua Reich, J. Janak, Pavel Kasparek, V. Misra, D. Rubenstein, H. Schulzrinne

引用次数: 15

Energy-aware routing in data center network 数据中心网络中的能量感知路由

Green Networking '10 Pub Date : 2010-08-30 DOI: 10.1145/1851290.1851292

Yunfei Shang, Dan Li, Mingwei Xu

{"title":"Energy-aware routing in data center network","authors":"Yunfei Shang, Dan Li, Mingwei Xu","doi":"10.1145/1851290.1851292","DOIUrl":"https://doi.org/10.1145/1851290.1851292","url":null,"abstract":"The goal of data center network is to interconnect the massive number of data center servers, and provide efficient and fault-tolerant routing service to upper-layer applications. To overcome the problem of tree architecture in current practice, many new network architectures are proposed, represented by Fat-Tree, BCube, and etc. A consistent theme in these new architectures is that a large number of network devices are used to achieve 1:1 oversubscription ratio. However, at most time, data center traffic is far below the peak value. The idle network devices will waste significant amount of energy, which is now a headache for many data center owners.\u0000 In this paper, we discuss how to save energy consumption in high-density data center networks in a routing perspective. We call this kind of routing energy-aware routing. The key idea is to use as few network devices to provide the routing service as possible, with no/little sacrifice on the network performance. Meanwhile, the idle network devices can be shutdown or put into sleep mode for energy saving. We establish the model of energy-aware routing in data center network, and design a heuristic algorithm to achieve the idea. Our simulation in typical data center networks shows that energy-aware routing can effectively save power consumed by network devices.","PeriodicalId":223413,"journal":{"name":"Green Networking '10","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121585418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 166

Running servers around zero degrees 让服务器在零度左右运行

Green Networking '10 Pub Date : 1900-01-01 DOI: 10.1145/1851290.1851293

Mikko Pervilä, J. Kangasharju

引用次数: 3