Global Synchronization Protection for Bandwidth Sharing TCP Flows

  • Lautenschlaeger W.

Synchronization effects between bandwidth sharing TCP flows are creating large queue size variations, or, if insufficiently buffered, loss in throughput. We propose an extension to ordinary queue operation that safely suppresses the synchronization. The solution is minimalistic in a sense that it needs only few extra operations in the fast path, and that it does not require accelerated memory access, if compared to the line rate. As such it is intended for high speed links equally as for low energy, low processing power devices. We prototyped the solution and show experimentally that it performs, despite its limited intent (remove the synchronization), on similar level as the more elaborated Active Queue Management schemes CoDel and PIE.

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 ...