Evolving Networking Capabilities

  • Hoover G.
  • Weber R.

Over the past decade, dramatic changes have taken place in wide-area networking. This has been due to legal, regulatory and technical reasons. This paper examines the technical evolution that has transformed analog, hierarchical, rigid, voice-oriented wide-area networks into digital, flexible intelligent bandwidth management systems capable of handling voice, data and image communications. Over the next half decade, networks will evolve with high performance, broad-band capabilities and enhanced service features. While transmission technology has played a large part in the evolution of domestic wide-area networks, the rapid progress in processing technology and its deployment into the network has played an even greater role in this evolution. To provide a perspective, the discussion begins with a brief historical overview of wide-area networking evolution. The newly emerging capabilities of Integrated Services Digital Network (ISDN) and bandwidth management are then presented, followed by a vision of future capabilities into the 1990's.

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 ...