Difference between revisions of "SIGCOMM 2017"

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The workshops cover the following
 
The workshops cover the following
 
==Topics=
 
==Topics=
 
 
 
* Mobile edge communication
 
* Mobile edge communication
 
* Kernel-bypass networks
 
* Kernel-bypass networks

Latest revision as of 07:07, 11 May 2020

SIGCOMM 2017
Conference of the ACM Special Interest Group on Data Communication
Event in series SIGCOMM
Dates 2017/08/21 (iCal) - 2017/08/25
Homepage: http://conferences.sigcomm.org/sigcomm/2017
Location
Location: Los Angeles, CA, USA
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Committees
General chairs: K. K. Ramakrishnan, Lixia Zhang
PC chairs: Walter Willinger, Alex Snoeren
Keynote speaker: Raj Jain
Table of Contents


August 9, 2017, New York – The Association for Computing Machinery’s (ACM) Special Interest Group on Data Communication (SIGCOMM), today announced highlights of SIGCOMM 2017, its annual flagship conference to be held at the University of California, Los Angeles (UCLA) August 21 – 25, 2017.

Communication networks and their underlying infrastructure continue to evolve with the rise of the information economy, bringing new challenges as well as new avenues for development. In addition to the main conference, SIGCOMM 2017 will also feature nine workshops and eight tutorials on the latest advances in communication networks, including kernel-bypass networks; Big Data analytics and machine learning; networking and programming languages; and virtual/augmented reality, among others.

This is the 50th Anniversary of ACM SIGCOMM and we are proud to organize this important edition of the conference in California.

Workshops and Tutorials

SIGCOMM 2017 also features nine full-day workshops and three full-day and five half-day tutorials. The workshops cover the following

=Topics

  • Mobile edge communication
  • Kernel-bypass networks
  • Big Data analytics and machine learning
  • Internet Quality-of-Experience
  • Networking and programming languages
  • Container networking
  • Mobility in the evolving Internet architecture
  • Virtual reality and augmented reality networks
  • Reproducibility

The tutorials introduce participants to topics such as:

Topics

* Millimeter-wave wireless networking and sensing
* Named data networking
* Adaptive streaming
* P4 -> NetFPGA
* Programming the data plane
* Understanding latency
* The Netmap framework for NFV applications
* Low latency communication for connected cars