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Future Mobile Telecommunication Networks Using Cloud Technologies

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Open cloud day bern 2012 public version

Open cloud day bern 2012 public version

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  • 1. Open Cloud DayFuture Mobile TelecommunicationNetworks Using Cloud TechnologiesProf. Dr. Torsten BraunCommunications and Distributed SystemsInstitut für Informatik und angewandte MathematikUniversität Bernhttp://cds.unibe.chbraun@iam.unibe.ch
  • 2. Torsten Braun: MobileCloud Overview > Research and Technology Trends — Network Virtualization — Cloud Computing — Software-Defined Radio — Multiple Input Multiple Output — Wireless Network Cloud — Telco Clouds and Virtual Telcos > Future EU FP7 Integrated Project: Mobile Cloud Networking (MobileCloud) > Conclusions June 19, 2012 2
  • 3. Torsten Braun: MobileCloud Cloud Computing > Advantages — Lower hardware and operation costs — Exploitation of computer hardware progress — Elasticity — Energy-efficient operation — Availability and robustness > Example application in telecommunications: TV set-top boxes J. Vankeirsbilck, Bertrand Nelis, D. Verlsype, C. Develder, T. Van Leeuwen and B. Dhoedt: Integrating Personal Media > Drawbacks and Digital TV with QoS Guarantees using Virtualized Set- Top Boxes: Architecture and Performance Measurements, — Possibly long delay between 35th IEEE Conf. Local Computer Networks, Denver, USA users and cloud computing infrastructure June 19, 2012 3
  • 4. Torsten Braun: MobileCloud Impact of Delay on Bandwidth > TCP performance depends on round-trip time: BW < (MSS / RTT) · (1 / √p) — BW: bandwidth M. Mathis, J. Semke, J. Mahdavi: — MSS: maximum segment size The Macroscopic Behavior of the TCP — RTT: round trip time Congestion Avoidance Algorithm, ACM Sigcomm, CCR, July 1997 — p: packet error rate — W: maximum window — Data delivered in each cycle = MSS · ⅜ W2 = 1/p — BW = (data per cycle) / (time per cycle) = (MSS · ⅜ W2 ) / (RTT · W/2) = (MSS · C) / (RTT · √p), C = √1.5 Congestion W Window [packets] W/2 Time [RTT] W/2 W June 19, 2012 4
  • 5. Torsten Braun: MobileCloud Network Virtualization > Security > Flexibility > Elasticity > Reconfigurability > Network resource sharing > Load balancing > Experimentation > Baumgartner, F.; Braun, T.; Bhargava, B.; ,Virtual routers: a tool for emulating IP routers, IEEE Conference Local Computer Networks, Nov. 2002 June 19, 2012 5
  • 6. Torsten Braun: MobileCloud Software(-Defined) Radio Yong He, Ji Fang, Jiansong Zhang, Haichen > More and more functions previously Shen, Kun Tan, and Yongguang Zhang. 2010. MPAP: virtualization architecture for implemented in hardware or special- heterogenous wireless APs. SIGCOMM purpose devices (e.g., signal Comput. Commun. Rev. 40, 4 (August 2010) processing or physical layer protocols) to be implemented in software or software-controlled on special-purpose devices using FPGAs, DSPs etc. → Software-Defined Radio (SDR) > High flexibility in terms of frequencies and protocols → Cognitive radio and networks > In the future: all software radio (SWR) — Protocol and signal processing on general-purpose processors with multi-cores and multi-threading (COTS servers) June 19, 2012 6
  • 7. Torsten Braun: MobileCloud Multiple Input Multiple Output (MIMO) > Exploitation of multi-path transmission h11 > y = Hx + n x1 h21 h12 y1 — y: receive vector — x: transmission vector — n: noise vector — H: channel gain matrix with nT · nR channels — Mr: number of receive antennas hMrMt yMr — Mt: number of transmit antennas xMt > Cooperative MIMO — cooperation of multiple base stations June 19, 2012 7
  • 8. Torsten Braun: MobileCloud Wireless Network Cloud > Motivation: Base stations as main components of wireless access networks represent approx. 40 % of mobile network costs. > Proposed approach: separation of base stations into — Remote Radio Heads (RRH): antenna, transceiver, A/D converter, etc. — Base station pool: signal and protocol processing running in the cloud > Related standardization activities — Common Public Radio Interface (CPRI) — Open Base Station Architecture Initiative (OBSAI) > Application scenarios — Various kinds of wireless access networks — Mobile Virtual Network Operator — Dynamic resource allocation dependent on traffic patterns — Coverage of harsh environments — Cooperative MIMO — Integrated application processing Y. Lin, L. Shao, Z. Zhu, Q. Wang, and R. K. Sabhikhi: Wireless network cloud: architecture and system requirements. IBM J. Res. Dev. 54, 1 (January 2010), June 19, 2012 8
  • 9. Torsten Braun: MobileCloud Wireless Network Cloud June 19, 2012 9
  • 10. Torsten Braun: MobileCloud Telco Clouds and Virtual Telcos> Telco Clouds — Hardware resources for cloud services and customers’ applications at strategic locations in the network, e.g., edge, core, to provide low delay> Virtual Telcos — Running software of telecommunication system in the cloud> Advantages — Carrier-grade services — FlexibilityPeter Bosch, Alessandro Duminuco, Fabio Pianese, Thomas L. Wood: Telco Clouds and Virtual Telco:Consolidation, Convergence, and Beyond, 6th IFIP/IEEE International Workshop on Broadband Convergence Networks, 2011 June 19, 2012 10
  • 11. Torsten Braun: MobileCloud Future EU FP7 Integrated Project: Mobile Cloud Networking (MobileCloud) > Extension of wireless network cloud by integration of — Radio Access Network — Mobile Core Network — Data Centre (computing, storage, applications) into (decentralized) cloud computing infrastructure (management!) > Advantages: elasticity, costs, performance, e.g., by exploitation of user location for service provisioning June 19, 2012 11
  • 12. Torsten Braun: MobileCloud Conclusions > Future integration of cloud computing and next generation mobile telecommunication services > More research, development, experimentation, and standardization needed June 19, 2012 12
  • 13. Torsten Braun: MobileCloud Thanks for your attention ! > braun@iam.unibe.ch > http://cds.unibe.ch > http://www.slideshare.net/torstenbraun June 19, 2012 13