September 10, 2015

The Future of Wide Area Networks

  • Lakshman T.
  • Sparks K.
  • Thottan M.

We are entering a new technological era where everything will be digitized and there will be an unprecedented demand to connect this massive new set of digital goods to create new value in terms of automation of lives and systems. The network will require the ability to deliver information and entertainment content at massive scale but with an economic outlay that is not vastly different than today. This requirement comes at a time when we have reached the physical limits of todays network performance and so a top to bottom restructuring of networks is required, with a wholesale shift to highly distributed, highly intelligent optimized networking. Todays self contained standalone networking constructs whether it be an operator, a network, a network layer, or a network element will be dis-aggregated and then realigned and reintegrated at different levels using a set of new software platforms and interfaces. This will require a new automated control paradigm that will make networks truly programmable and the essential building blocks of a new digital connected reality.

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 ...