Autoscaling Orchestration for Container-based Telecom Microservices

  • Ghami-Doudane Yacine
  • Luong D.
  • Outtagarts A.

Future mobile network would be much more flexible, dynamic and faster adaptable to match the evolve demand. Network Function Virtualization (NFV) is investigated to take the advantage of IT virtualization on telecom by separating virtualization function from underlying dedicated hardware. Container-based micro-service approach is currently discussed as the lightweight virtualization that enables flexibility and scalability of future mobile network. In this paper, we present an orchestration platform by applying the containerization for telco virtualization. We utilize the existing container orchestration platform in IT environment and investigate its scalability in mobile networks. The Evolve Packet Core (EPC) components are instantiated by Docker Swarm orchestrator while Google Kubernetes orchestrator auto-scales the Serving-Gateway (SGW) components. The proof of concepts shows that we can apply the container-based approach for achieving elasticity of future mobile network

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...