4 research outputs found

    Energy-Aware Weight Assignment Framework for Circuit Oriented GMPLS Networks

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    A branch of green networking research is consolidating. It aims at routing traffic with the goal of reducing the network energy consumption. It is usually referred to as Energy- Aware Routing. Previous works in this branch only focused on pure IP networks, e.g., assuming an Open Shortest Path First (OSPF) control plane, and best effort packet forwarding on the data plane. In this work, we consider instead Generalized Multi-Protocol Label Switching (GMPLS) backbone networks, where optical technologies allow to design "circuit switching" network management policies with strict bandwidth reservation policies. We define a simple and generic framework which generates a family of routing algorithms, based on an energy-aware weight assignment. In particular, routing weights are functions of both the energy consumption and the actual load of network devices. Using such weights, a simple minimum-cost routing allows finding the current least expensive circuit, minimising the additional energy cost. Results obtained on realistic case studies show that our weight assignment policy favours a consistent reduction of the network power consumption, without significantly affecting the network performance. Furthermore, the framework allows to trade energy efficiently and network performance, a desirable property at which ISPs are looking for. Simple and robust parameter settings allow reaching a win-win situation, with excellent performance in terms of both energy efficiency and network resource utilization

    Router Power Consumption Analysis: Towards Green Communications

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    2nd International Conference on Green Communications and Networking, GreeNets 2012; Gandia; Spain; 25 October 2012 through 26 October 2012In recent years, the number of network devices which are being used in new network infrastructure and intelligent buildings, are growing more and more. Because these devices can often have high processing activity, we must consider their power consumption. Their energy requirements may vary depending on their operation mode, their processing capacity and even the type of devices to which are connected. The ability to determine exact consumption of network can provide an optimal network design and the other auxiliary systems, such as cool system, which may be necessary for the proper operation of the network. In this paper we determine the power consumption generated by network devices of different manufacturers and models. These tests allow us to see the energy consumed when they are in await mode and when they are working, running a routing protocol in order to interconnect different networks, promoting the development of the sustainable Green Networks.Andrade Morelli, S.; Ruiz Sanchez, E.; Sendra, S.; Lloret, J. (2013). Router Power Consumption Analysis: Towards Green Communications. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 113:28-37. doi:10.1007/978-3-642-37977-2_3S2837113Balasubramanian, N., Balasubramanian, A., Venkataraman, A.: Energy Consumption in Mobile Phones: A Measurement Study and Implications for Network Applications. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, IMC 2009, Chicago, IL, USA, November 4-6 (2009)Bianco, C., Cucchietti, F., Griffa, G.: Energy consumption trends in the next generation access network - a telco perspective. In: 29th International Telecommunications Energy Conference, INTELEC 2007, Rome, Italy, September 30-October 4 (2007)Datasheet of Router Cisco184, Available at Cisco web site: http://www.cisco.com/en/US/prod/collateral/routers/ps5853/ps5875/product_data_sheet0900aecd806c4e2a.pdfDatasheet of Router Allied AR410, Available at Alied telesync web site: http://www.alliedtelesis.com/media/fount/datasheet/AR410Series_Datasheet_RevQ.pdfFisher, W., Suchara, M., Rexford, J.: Greening Backbone Networks: Reducing Energy Consumption by Shutting Off Cables in Bundled Links. In: Proceedings of the First ACM SIGCOMM Workshop on Green Networking, New Delhi, India, August 30 (2010)González, N., Moran, L., Angioleti, J.M., Varela, J.A.: Green IT, ch. 4. Green Telecom Networks. eKISS nº82. Internal publication of Telefónica (2009)Mohsin, A.H., Bakar, K.A., Adekiigbe, A., Ghafoor, K.Z.: A Survey of Energy-aware Routing protocols in Mobile Ad-hoc Networks: Trends and Challenges. Network Protocols and Algorithms 4(2), 82–107 (2012)Duan, Q.: Performance Evaluation on Traffic Control in Combined Input and Cross-point Queuing Switches. Network Protocols and Algorithms 3(4), 18–31 (2011)Sendra, S., Fernández, P.A., Quilez, M.A., Lloret, J.: Study and Performance of Interior Gateway IP routing Protocols. Network Protocols and Algorithms 2(4), 88–117 (2010)Sendra, S., Lloret, J., Garcia, M., Toledo, J.F.: Power saving and energy optimization techniques for Wireless Sensor Networks. J. Commun. Acad. Publ. 6, 439–459 (2011)Cisco Report. Server power calculator analysis: Cisco UCS power calculator and HP power advisor (2011)Kakemizu, M., Chugo, A.: Approaches to Green Networks. Fujitsu Scientific and Technical Journal 45(4), 398–403 (2009)Bianzino, A.P., Chaudet, C., Rossi, D., Rougier, J.-L.: A Survey of Green Networking Research. IEEE Communications Surveys & Tutorials 14(1), 3–20 (2012)Stevens, W.R.: TCP/IP Illustrated. The Protocols (Addison-Wesley Professional Computing Series), vol. 1 (1994

    WifER: Mobile Wireless Access on Regional Trains

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    Increasing demand for ubiquitous internet access, coming from both end users and politic entities, pushes towards the development of new cheap solutions for widespread wireless access. In this paper, a solution for bringing wireless mobile access on local trains is considered, and the project procedure is structured. In particular, the project constraints and key decision points are analysed, and the choice criteria and methodology are detailed. Finally, tests are performed considering a solution prototype, both as input to the decision process, and to evaluate the final system performance
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