September 18, 2017

End-to-end network slicing enabled through network function virtualization

  • Afolabi I.
  • Bagaa M.
  • Flinck H.
  • Taleb T.

Wireless networks have gone through several years of evolution until now and will continue to do so in order to cater for the varying needs of users. These demands are expected to grow in the future, both in size and variability. Hence, the 5G technology considers these variabilities in service demands and potential data explosion which could accompany users' demands at the core of its architecture. To enable 5G mobile handle these foreseen challenges, network slicing [24] is seen as a way forward as its standardization is progressing. In light of the proposed 5G network architecture base on network slicing, it is essential to be able to determine the correct virtual machine (VM) flavours in which to host the right type of network function based on the slice service requirements. In order to determine this, we carried out series of experiments involving the deployment of different VM flavours which may be suitable for different slices.

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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 ...

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Modeling and simulation of RSOA with a dual-electrode configuration

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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 ...

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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 ...