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Reducing energy consumption in IPTV networks by selective pre-joining of channels

Published: 30 August 2010 Publication History

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.
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.
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.

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      cover image ACM Conferences
      Green Networking '10: Proceedings of the first ACM SIGCOMM workshop on Green networking
      August 2010
      92 pages
      ISBN:9781450301961
      DOI:10.1145/1851290
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      Published: 30 August 2010

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      Author Tags

      1. IPTV
      2. energy friendly networks
      3. green networks

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      SIGCOMM '10: ACM SIGCOMM 2010 Conference
      August 30, 2010
      New Delhi, India

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      • (2017)Service Overlay Forest Embedding for Software-Defined Cloud Networks2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2017.62(720-730)Online publication date: Jun-2017
      • (2016)Blending photons with electrons to reduce the energy footprint of IPTV networks2016 IFIP Networking Conference (IFIP Networking) and Workshops10.1109/IFIPNetworking.2016.7497229(288-296)Online publication date: May-2016
      • (2016)Timeline control for customized presentation over MMT-based streaming2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)10.1109/BMSB.2016.7521916(1-5)Online publication date: Jun-2016
      • (2015)On the performance of online and offline green path establishment techniquesEURASIP Journal on Wireless Communications and Networking10.1186/s13638-015-0417-z2015:1Online publication date: 16-Jul-2015
      • (2014)State of the art in IPTV2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)10.1109/MIPRO.2014.6859615(479-484)Online publication date: May-2014
      • (2012)Power Consumption Evaluation of Distributed Computing Network Considering Traffic LocalityIEICE Transactions on Communications10.1587/transcom.E95.B.2538E95.B:8(2538-2548)Online publication date: 2012
      • (2012)Green Networking Strategies Versus Networking ModesFuture Wireless and Optical Networks10.1007/978-1-4471-2822-9_13(203-226)Online publication date: 2012
      • (2011)Improving P2P IPTV random peers search through user similarity2011 5th International Conference on Network and System Security10.1109/ICNSS.2011.6059970(137-144)Online publication date: Sep-2011
      • (2011)Greening of Many-Core Processors in Network-Optimized Computing2011 IEEE Global Telecommunications Conference - GLOBECOM 201110.1109/GLOCOM.2011.6133515(1-5)Online publication date: Dec-2011
      • (2011)Green multi-agent planning framework: what and whyEnergy Procedia10.1016/j.egypro.2011.11.08413(601-609)Online publication date: Jan-2011
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