Impact of traffic fluctuations and dedicated protection on energy savings in dynamic elastic optical networks

  • Morea A.
  • Turus I.
  • Verchere D.

We present an analysis of the energy savings when taking into account a realistic traffic model. Daily and weekly traffic fluctuations as well as yearly traffic growth are taken into account when analyzing the power consumption given by the powered-on equipment as well as the IDLE opto-electronic devices. We also take into account the impact of the dedicated 1+1 protection schemes in a dynamic network scenario. A GMPLS control plane is implemented and used for re-configuration of the elastic connections. We show that a mixed modulation-format and symbol-rate adaptation allows for 45% every savings while a modulation-format strategy minimizes the power consumed of IDLE devices. Data-rate adaptive strategies allow energy savings in a network with dedicated protection to similar levels of the same network without protection enabled.

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 ...