1.
Carlos Andrés, Claudio Fiandrino, Alejandro Blanco,
Pablo Jiménez, Norbert Ludant, Joerg Widmer
IMDEA Networks, Madrid, Spain
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• Standardized by ETSI
• Brings computing service closer to the end user
Figure from ETSI-MEC - Introduction to Mobile Edge Computing
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• 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)
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• 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
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• MEC systems run in edge data centers
• Need to capture dynamics of data centers and
mobile networks simulatenously
• Solution: openLEON, a new MEC emulator
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• High fidelity in mobile and datacenter
networks
• Easy to extend and flexible
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• 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
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• 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

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• Traffic UE -> edge data center routed via eNB
• Traffic edge data center -> UE routed via EPC host

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• 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
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• Caching
• Impact of RLC Buffer Size
• Performace with Different Channel Quality
• Multipath-TCP
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• 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
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• Varing the buffer size (in num. of PDUs)
• Queueing negatively affects RTT
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• Presence of background traffic
• Allocating application in the same Rack reduces RTT
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• UE1 with CQI 13-14
• UE2 with CQI 7-8
• Throughput-RTT 2-σ ellipse plot
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• Mininet hosts with multiple interfaces
• MEC provides significant advantage with plain MP-TCP
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• Mininet: 200 Mbps x 16 hosts
• srsLTE: max 5 UEs simutaneously,
stability ~ 1h @ 10 MHz
• Transport
• Multi-RAT
• Mobile Cloud Computing
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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
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Soon available at http://openleon.networks.imdea.org/

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claudio.fiandrino@imdea.org