Performance Evaluation in LTE Networks (SGW-u Tunnels) Sina Shafaei - - PowerPoint PPT Presentation

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Performance Evaluation in LTE Networks (SGW-u Tunnels) Sina Shafaei - - PowerPoint PPT Presentation

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Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universitt Mnchen Technische Universitt Mnchen IDP Final Talk Performance Evaluation in LTE Networks (SGW-u Tunnels) Sina

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München Chair for Network Architectures and Services Technische Universität München

“IDP Final Talk”

Performance Evaluation in LTE Networks (SGW-u Tunnels)

Sina Shafaei

Advisors: Daniel G. Raumer, Sebastian Gallenmüller

Jan 18, 2016

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Outline

Definitions

  • LTE Networks
  • Evolved Packet Core
  • Serving Gateway (SGW)
  • GTP Packets

Set Up and Installation

  • Software
  • MoonGen
  • Testbed Structure

Performance Evaluation

  • Throughput
  • Packet Loss

Conclusion and Summary

  • Final Remark
  • Future Work
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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Long Term Evolution (LTE) Networks

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

LTE Networks / The E-UTRAN (The access network)

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

LTE Networks / The Evolved Packet Core (EPC)

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

The Functions of the SGW

  • The local Mobility Anchor point for inter-eNodeB handover
  • Mobility anchoring for inter-3GPP mobility
  • Lawful Interception
  • Packet routing and forwarding
  • Transport level packet marking in the up-link and the down-link
  • Accounting for inter-operator charging. For GTP-based links, the Serving GW generates

accounting data per UE and bearer

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

GPRS Tunnelling Protocol (GTP)

  • IP-based protocol that allows tunnels between pairs of end point used in GSM, UMTS and LTE

core networks

  • It provides mobility. (When UE is moving, the IP address remains same and packets are still

forwarded since tunneling is provided between PGW and eNodeB via SGW)

GTP-U is used in user plane to carry user data traffic in GPRS, UMTS and LTE

  • networks. UDP is used as transport protocol.
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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Set up and Installation

  • Sgwuctl (SGW-u controller)

developed originally by BISDN

  • Revised Open Flow Libraries

adding OpenFlow support to the software to build control applications, controller frameworks and/or data path elements

  • xDPd

a multi-platform, multi OpenFlow version data plane, open- source switch focusing on performance and extensibility

  • DPDK

a set of libraries and drivers for fast packet processing

  • MoonGen

load generator developed by Paul

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Why xDPd and not Open vSwitch?

  • Virtual switching element is used to support the local traffic steering
  • Both support the OpenFlow protocol as well as various tunneling protocols and dpdk
  • Both have support for multiple logical switch instances

But ...

  • xDPd is designed to run multiple hardware platforms (x86-gnu-linux, x86-dpdk, Cavium

Octeon, Broadcom, EazyChip, and NetFPGA10G)

  • xDPd shows a somewhat cleaner architecture than OVS
  • The implementation of the pipeline for different hardware platforms is eased in xDPd by

the availability of ROFL

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Set up and Installation

  • Shell script to deploy the whole set up
  • GTP extension for MoonGen

GTP-u Packet Structure Our Set up in Baltikum Testbed Format of a GTP-u Header

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Performance Evaluation

  • Performance indicators: Throughput & Packet Loss
  • Number of registered bearers: 1, 100, 200, 300, 400
  • Packet Size: 1400 Byte / 1024 Byte
  • Traffic rates: (100Mbit/s, 300Mbit/s, 500Mbit/s, 700Mbit/s) 1Gbit/s, 2Gbit/s, 3Gbit/s,

4Gbit/s, 5Gbit/s, 6Gbit/s, 7Gbit/s, 8Gbit/s, 9Gbit/s, 10Gbit/s

  • Duration of each test: 5 Minutes
  • Number of Tests: ~600
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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Performance Evaluation – Throughput / Packet Size: 1400Byte

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Performance Evaluation – Throughput / Packet Size: 1024Byte

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Performance Evaluation – Packet Loss / Packet Size: 1400Byte

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Performance Evaluation – Packet Loss / Packet Size: 1024Byte

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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Summary and Conclusion

  • Set up script which is prepared for this project can be used easily for further

investigation on both SGW and PGW and respectively their sub-components

  • Behavior of SGW in higher traffic rates, can be said is, unpredictable
  • Processing time on GTP packets at SGW has an important impact on both of

throughput and packet loss

  • َTraffics with smaller packet sizes will result in higher throughput in high rates, in general
  • There are still limitations on SGW controller developed by BISDN (e.g, number of

registered bearers)

  • xDPd and sgwuctl need a proper updated documentation(!)
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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Future Work

  • What happens if packets for different bearers are not sent in a round robin fashion but

rather at random?

  • With regard to higher processing times when there are multiple bearers installed, does

the lookup speed depend on bearer ID and number of present bearers?

  • In addition to GTP-u traffic, the SGW receives control requests, e.g., for adding
  • bearers. Investigations regarding the relationship between processing times of these

requests and the data plane load can be performed.

  • Evaluating the functions of xDPd as data plane with different set up / scenario
  • Is it possible to deploy the whole set up on one host? What would be the outcome?
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Technische Universität München – Chair for Network Architectures and Services Chair for Network Architectures and Services Technische Universität München

Thanks for your attention! Questions?