IoT360 Lecture on IoT Service Platforms

  • Roelands M.

Invited lecture at IoT360 Summer School, 31/10/2014, Rome, Italy, Abstract: IoT Service platforms are not different from other (possibly distributed) stream-intensive service creation and execution environments, but the IoT perspective elicits generalisable requirements related to the observation & actuation interaction the platform has with the real world in which it is put to action. The lecture will provide the audience - an intro on how a sample of example IoT service platforms have seen evolving ambitions in the past years - an IoT Service Platform “cookbook” discussing the main ingredients to such platform, - ways to leverage and systematically grow a world model allowing optimized service pool execution, and the remaining challenges in this respect.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

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  • 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.
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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 ...

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 ...