June 11, 2018

World Wide Streams - a new World Wide Web for in-the-moment information

  • Trappeniers L.

We are evolving to a world where multi-sensory experiences and new interaction modalities become increasingly important. A world where human augmented intelligence - based on massive amounts of available data - is expected to change our lives in drastic ways. We are moving to an IoT world where information sources are many and volatile, heterogenous and nomadic. This will set the context for a different kind of data processing systems - a new WWW, World Wide Streams (WWS). This new WWS infrastructure - designed to provide personal, in-the-moment experiences - needs to deal with massive amounts of ephemeral information generated around us. It needs to provide highly-selective, scalable, and transparent filtering to select (only) the relevant pieces, and provide timely processing before the information disappears. I will sketch the technological foundations for this WWS, grounded in the Bell Labs FutureX Network vision. I will then discuss the class of unsolved problems in the area of dynamic queries on streaming data and present future research directions.

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 ...