GEC 22 Evening Demo Session

Location

Schedule

Tuesday 4.30pm - 7.30pm

Session Leaders

Heidi Picher Dempsey GENI Project Office	Manu Gosain GENI Project Office	Peter Stickney GENI Project Office

Details

The evening demo session gives new and existing GENI experimenters and projects a chance to share their work in a live network environment. Demonstrations run for the entire length of the session, with teams on hand to answer questions and collaborate. This page lists scheduled demonstrations categorized in broad interest groups. You can download project posters and supplemental information from attachments listed at the bottom of this page.

Directions and Logistics

Please visit this page for attendee and presenter logistics information.

Projects

Infrastructure and Measurement

CloudLab

CloudLab provides researchers with control and visibility all the way down to the bare metal. Provisioning an entire cloud inside of CloudLab takes only minutes. Most CloudLab resources provide hard isolation from other users, so it can support hundreds of simultaneous "slices", with each getting an artifact-free environment suitable for scientific experimentation with new cloud architectures.

CloudLab is built from the software technologies that make up Emulab and parts of GENI, so it provides a familiar, consistent interface for researchers.

Participants:

• Rob Ricci, ​ricci@cs.utah.edu, Univ. of Utah

Experiments and Education

Networked Virtual Reality Based Training

This demonstration involves highlighting a distributed approach to training orthopedic medical residents using Virtual Reality (VR) based simulation environments; this application exploits the capabilities of Global Environment for Network Innovation (GENI)'s national test bed infrastructure. Our demonstration will show how expert surgeons in different hospitals can interact with medical trainees at others locations and teach them the fundamentals of orthopedic surgery. The high-definition multimedia streaming and haptic interfaces associated with the VR environment will enable trainees to remotely observe, participate and practice surgical techniques virtually from different locations (and also provides ‘on demand’ access to such medical educational and training resources).

The virtual environments will enable students to learn the appropriate way of performing orthopedic surgery. The traditional way of surgical teaching involves students first merely observing a ‘live’ surgery and gradually progressing to assisting experienced surgeons. Medical residents also learn through performing surgeries on cadavers; however, these approaches have limitations such as availability, cost and the remote possibility of infections, which limit their usefulness. A Virtual Reality based simulation environment is a practical compromise for addressing these concerns. We are working with Dr. Miguel Pirela-Cruz at the Texas Tech Health Sciences Center (TTHSC) in El Paso, Texas.

We did an initial demonstration at GEC 21 which was well received. Our plans are to show the use of haptic interfaces at GEC 22 with the presence of Dr. Pirela-Cruz.

Participants:

• M.B.Bharathi Raj Kumar, ​bhararm@ostatemail.okstate.edu, Oklahoma State
• J. Cecil, ​j.cecil@okstate.edu, Oklahoma State
• Parmesh Ramanathan, ​parmesh@ece.wisc.edu, Univ. of Wisconsin-Madison
• Aditya Prakash, ​aprakash6@wisc.edu, Univ. of Wisconsin-Madison

GENI Cinema

Video streaming over the Internet, be it static or live streaming, is rapidly increasing in popularity. Many video streaming services exist to serve a variety of needs, such as video conferencing, entertainment, education, and the broadcast of live events. These services rely heavily on the server application to adapt to increasing and decreasing demand for a particular video resource. Furthermore, they require the reallocation of resources and the restart of the stream when a client stops, starts, and/or switches to a different stream. SDN and specifically OpenFlow can be creatively used to reallocate some of these tasks to the network and link layers.

Our goal is to provide a scalable service for GENI using OpenFlow that supports the broadcast of live video streams from an arbitrary number of video-producers to an arbitrary number of video-consumers, where video-consumers can change “channels” without disrupting their existing stream and without affecting the load on a particular video stream source.

Participants:

• Ryan Izard, Ryan Izard, Clemson Univ.
• Kuang-Ching Wang, Kuang-Ching Wang, Clemson Univ.
• Qing Wang, ​qw@g.clemson.edu, Clemson Univ.
• Parmesh Ramanathan, ​parmesh@ece.wisc.edu, Univ. of Wisconsin-Madison

Federation / International Projects

Wireless Projects