1 / 7

Cooperations Aalto University LIG, Grenoble MIT Telecom SudParis ISAE

Team 5 permanent people 6 PhD students. Contracts ANR jeune chercheur CIFREs: Orange, TMG Intel. P2P, traffic analysis, neutrality. TCP in high BDP networks. Scheduling. Network coding. Ad-hoc networks. Administrative duties M1 IFI international M2 IFI Ubinet

frieda
Télécharger la présentation

Cooperations Aalto University LIG, Grenoble MIT Telecom SudParis ISAE

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Team • 5 permanent people • 6 PhD students • Contracts • ANR jeunechercheur • CIFREs: Orange, TMG • Intel P2P, traffic analysis, neutrality TCP in high BDP networks Scheduling Network coding Ad-hoc networks • Administrative • duties • M1 IFI international • M2 IFI Ubinet • Eletronic Department EPU • Cooperations • Aalto University • LIG, Grenoble • MIT • Telecom SudParis • ISAE Cognitive Radio, Continuous phase space-time coded modulation

  2. Focus on some topics : cloud networking • Cloud networking • Impact of virtualization layer (Vmware, Xen) on network performance • Delineating impact of CPU sharing, virtual switch, NIC virtualization, VM scheduling

  3. Example of results A bug in … Linux kernel of TCP at high speed  lack of fairness Finding the root was … complex

  4. Focus on some topics: video over mobile network • Video dominates traffic in mobile (3G/LTE) network • Stringent QoS • Question for ISP (Orange): budget resources so as to minimize cost while maintaining QoS • Problems (non exhaustive list) • Video download is a complex function of (smartphone, OS, Videocaster (YT, Dailymotion, )

  5. Galaxy S2: mobiles imposes specific pattern to server! (energy consumption)

  6. Minimizing Energy of Network • In data center: networking  10 to 20% of the total energy cost of data centers • ISP • Challenges addressed: • How to practically implement green routing? • Trade-off energy/QoS for users • How to efficiently simulate/evaluate? • Ns-3 extensions • SDN (Software Defined Network) testbed to be deployed in 2014 - joint effort with Coati

  7. Realistic data center topology Fully controlled testbed SDN enabled: new network paradigm

More Related