Fundamentals of Future Green Internet Architecture Dr. Salih Ergüt R&D Manager Türk Telekom Group R&D salih.ergut@turktelekom.com.tr Dr. Özgür B. Akan Dept. of Electrical & Electronics Engineering Koç University, Turkey akan@ku.edu.tr
Why Green Internet? Statistics show that total internet traffic will double every 2 years 700 billion videos are watched every year, 140 billion hours are spent on Facebook every year, Internet traffic increased 200 times in the past 10 years, Energy dissipation and CO 2 emission due to communication networks increase tremendously 2% of global CO 2 emission is due to ICT systems., W-GREEN 08 Oulu, Finland Server farms and telecommunications infrastructure are responsible for roughly 3% of the world wide electricity consumption. IEEE ICC 08 Dresden, Germany Any improvement yields immense energy savings 2/12
Green Communications Studies Energy Efficient Protocols W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, Energy-Efficient Communication Protocol for Wireless Microsensor Networks, IEEE Proc. Hawaii Int l. Conf. Sys. Sci., pp. 1 10, Jan. 2000. Energy Efficient Signal Processing Methods J. Jang and K. B. Lee, Transmit power adaptation for multiuser OFDM systems, IEEE J. Sel. Areas Commun., vol. 21, no. 2, pp. 171 178, Feb. 2003. Energy Efficient Adaptive Algorithms W.R. Heinzelman, J. Kulik, H. Balakrishnan, Adaptive protocols for information dissemination in wireless sensor networks, in Proc. of the ACM MobiCom 99, Seattle, Washington, pp. 174 185, 1999. Information Theoretical Approaches J. N. Laneman, D. N. C. Tse, G. W. Wornell, Cooperative diversity in wireless networks: Efficient protocols and outage behavior, IEEE Trans. on Inform. Theory, vol. 50, issue 12, pp. 3062-80, Dec. 2004. Energy Dissipation in Computation. R. Landauer, Irreversibility and heat generation in the computing process, IBM Journal of Research and Development, vol. 5, pp. 183-191, 1961. 3/12
What is Missing? Previous studies Provide localized marginal gain, failing to apprehend ultimate limits None jointly consider fundamental limits of energy and CO 2 with extensions to network case for given QoS parameters! 4/12
Our Vision on Green Communications Our vision on green communications comprises, 1. Derivation of fundamental limits for SISO channels Rate, delay, bit error rate, energy and CO2 emission tradeoffs 2. Extension of fundamental limits to networks Multi-terminal joint minimization of energy and CO 2 emission 3. Development of compressive networking paradigm Infrastructure compressing providing the same utility 4. Development of green equivalent network theory Achieving same utility with less energy and CO 2 emission 5. Examination of end-to-end overall layered architecture Proper examination of the protocol stack from greenery perspective 5/12
Vision 1: Investigation of Tradeoffs between CO 2, Energy and Capacity of SISO Channels Derivation of information theoretical relations among Energy dissipation Capacity, noise, delay and bit error rate Derivation of the fundamental limits of energy dissipation and CO 2 emission for transmission of one bit of information min E bit min ξ bit E bit : Energy/bit s.t. R > R 0 s.t. R > R 0 ξ bit : CO 2 emission/bit P b < P 0 b P b < P 0 b Investigation of the performance of existing coding techniques achieving fundamental limit Development of novel joint source-channel coding techniques to achieve the fundamental limits 6/12
Vision 2: Extension of Fundamental Limits to Multi-terminal Case Investigation of the effects of contention delay and interference Derivation of minimum energy dissipation and CO 2 emission with utility constraints and achievable rate regions for Relay channel Multiple-access channel Broadcast channel Development of an architecture-free model compatible with various topologies and architectures 7/12
Vision 3: Development of Compressive Networking Compressive Networking: Compressing communications infrastructure providing similar utility with the original network under a set of given constraints, e.g., energy, CO 2 emission, budget Development of compresive networking theory and tools Application of compressive networking to a large-scale commercial communications network 8/12
Vision 4: Development of Green Equivalent Network Theory Green Equivalent Networks: Design of a compressed network, using compressive networking and network equivalence, that provides Minimum energy Minimum CO 2 emission Similar network utility Application of green equivalent network theory to a large-scale commercial high-energy consuming network 9/12
Vision 5: Investigation of Energy and CO 2 Emission Limits for End-to-End Overall Layered Architecture Investigation of the contribution of each layer to the energy and CO 2 emission Investigation of the impact of cross-layer interactions onto the energy consumption and CO 2 emission of communication networks Ultimate Goal: Design of entirely green network architecture Application Transport Application Transport Internet Internet Link Link 10/12
Standard for Green Communications Green communication standard is missing. Required specifications: Maximum CO 2 emission Maximum energy per bit Desired rate, BER, delay etc. Extension of existing IEEE, ITU communications standards to state the quantitative limits for greenness. Rise of awaraness of the importance and opportunities of using the green standards. Certification of greenness to encourage telecommunication companies and corporate organizations to obey the green standards. Power efficiency should be included as a specification for new standards. 11/12
Act of Turk Telekom Turk Telekom is The only telecom company in the board of Eurogia+ Funding green communications research and related projects Working on minimizing energy and CO 2 emission on its own network infrastructure by implementing sustainability projects such as Use of alternative energies (e.g., solar, wind) Fleet optimization efforts Implementing sustainable practices in business processes, products, and services in order to reduce carbon emissions Planning to actively participate in the early standardization of green communications working towards FP7 projects (e.g., MINECC) 12/12
Questions? Dr. Salih Ergüt R&D Manager Türk Telekom Group R&D salih.ergut@turktelekom.com.tr Dr. Özgür B. Akan Dept. of Electrical & Electronics Engineering Koç University, Turkey akan@ku.edu.tr