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openLEON

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openLEON is an open source muLti-access Edge cOmputiNg end-to-end emulator that operates from the edge data center to the mobile users. openLEON bridges the functionalities of existing emulators for data centers and mobile networks, i.e., Mininet and srsLTE, and makes it possible to evaluate and validate research ideas on all the components of an end-to-end mobile edge architecture.

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openLEON

  1. 1. Carlos Andrés, Claudio Fiandrino, Alejandro Blanco, Pablo Jiménez, Norbert Ludant, Joerg Widmer IMDEA Networks, Madrid, Spain 1
  2. 2. • Standardized by ETSI • Brings computing service closer to the end user Figure from ETSI-MEC - Introduction to Mobile Edge Computing 2
  3. 3. • NOT fog computing Fog computing is a system-level horizontal architecture that distributes resources and services of computing, storage, control and networking anywhere along the continuum from Cloud to Things  MEC: computing close to core and/or eNodeB  Fog: computing close to edge devices (e.g., IoT) 3
  4. 4. • Objectives  Reduces latency  Alleviates congestion in the core network • Use cases:  video analytics, augmented reality  location services, Internet-of-Things (IoT)  optimized local content distribution and data caching • Not tied to 5G only 4
  5. 5. • MEC systems run in edge data centers • Need to capture dynamics of data centers and mobile networks simulatenously • Solution: openLEON, a new MEC emulator 5
  6. 6. • High fidelity in mobile and datacenter networks • Easy to extend and flexible 6
  7. 7. • Mininet (quoting http://mininet.org/) creates a realistic virtual network, running real kernel, switch and application code, on a single machine (VM, cloud or native)  Widely adopted emulator is SDN research  Fast and simple prototyping  Well known scalability issues (OK in MEC: few hosts)  Fidelity behaviour emulated vs. real network • Maxinet  Overcomes scalability issues: emulation spans several physical machines 7
  8. 8. 8 • Support 3GPP Rel. 9, 10 • DL: 25 Mbps – UL: 18 Mbps @ 10 MHz • Code: difficult • Support 3GPP Rel. 8 • DL: 22 Mbps – UL: 13 Mbps @ 10 MHz • Code: easy srsLTE Open source software implementations of LTE
  9. 9. 9 • Traffic UE -> edge data center routed via eNB • Traffic edge data center -> UE routed via EPC host
  10. 10. 10
  11. 11. • Nuand BladeRF x40 / Motorola Moto G5 Plus -> UE • NI USRP-2942R -> eNB • A desktop computer with 8 cores at 3.4 GHz and 16 GB RAM -> eNB application + VM • VM runs  EPC applications (run_spgw, run_hss and run_mme)  Mininet 11
  12. 12. • Caching • Impact of RLC Buffer Size • Performace with Different Channel Quality • Multipath-TCP 12
  13. 13. • UE generates 120 echo requests with different packet sizes • Remote data center (R) / local host (L) same rack (SR) different rack (DR) • MEC with local caching reduces RTT and prevents throughput degradation 13
  14. 14. • Varing the buffer size (in num. of PDUs) • Queueing negatively affects RTT 14
  15. 15. • Presence of background traffic • Allocating application in the same Rack reduces RTT 15
  16. 16. • UE1 with CQI 13-14 • UE2 with CQI 7-8 • Throughput-RTT 2-σ ellipse plot 16
  17. 17. • Mininet hosts with multiple interfaces • MEC provides significant advantage with plain MP-TCP 17
  18. 18. • Mininet: 200 Mbps x 16 hosts • srsLTE: max 5 UEs simutaneously, stability ~ 1h @ 10 MHz • Transport • Multi-RAT • Mobile Cloud Computing 18
  19. 19. openLEON: open source muLti-access Edge cOmputiNg emulator  Enables end-to-end experimentation and prototyping  Emulates both datacenter and mobile networks  Builds on existing emulators srsLTE and Mininet 19 Soon available at http://openleon.networks.imdea.org/
  20. 20. 20 claudio.fiandrino@imdea.org

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