Functional blocks and Enablers for the Coordinated Control of autonomous and distributed Future Networked Systems

  • Ciavaglia L.
  • Ghamri-Doudane S.
  • Gruber M.
  • Peloso P.

Future Internet (FI) constitutes a complex, highly decentralized and dynamic environment of resources and systems, which imperils the network stability, jeopardizing the network performance and compromising an optimized use of resources. In this context, the UniverSelf research project proposes a promising solution, called Unified Management Framework (UMF). UMF targets include the trustworthy network stability, which is accomplished through the coordinated control of the autonomous and distributed future networked systems, based on operator’s objectives. Accordingly, this paper presents the relevant UMF operation, including a description of its functional blocks and their underlying mechanisms. In the framework of this solution, the paper also describes the Network Empowerment Mechanisms (NEM) that empower networks with autonomic algorithms/solutions and can be embedded into existing and future systems in a “plug and play” way.

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 ...