Workshop on Federated Future Internet and Distributed Cloud Testbeds (FIDC)

Call for Papers

September 12, 2014

In conjunction with 26th International Teletraffic Conference (ITC26)

Karlskrona, Sweden

 

Topics

 

Future Internet and Distributed Cloud (FIDC) testbeds, such as GENI in the US and FED4FIRE in the EU are increasingly providing venues for innovative work by researchers, application developers, and educators. While FIDC testbeds may be built on a number of underlying technologies, they share the primary capabilities of slicing (virtualized end-to-end configurations of computing, networking, and storage resources) and deep programmability (experimenter programmability of all resources from low level hardware to standard higher level constructs to virtualized components).  A particularly central technology is Software-Defined Networking (SDN), which is used to construct per-application and per-experiment virtual networks, and is also used to intelligently steer traffic throughout the virtual network/cloud environment.  Indeed, the defining feature of both the Future Internet and Distributed Clouds is that the network is allocated, managed, and programmed by the experimenter/application developer, just as is the case today with computation and storage.

 

Many of the concepts explored in FIDC testbeds overlap with and contribute to operational foundations for academic, commercial, and scientific network/cloud practice today.  In particular, Network Function Virtualization (NFV) anticipates the need to site virtual machines strategically throughout the network, and use SDN  technologies to intelligently steer traffic between them and between these service VMs and the end customer.  The use of distributed virtual machines interconnected with SDNs, the foundational technologies of operational distributed clouds, are also precisely the technologies required to build FIDC testbeds.

 

Wireless and mobile testbeds are an important class of FIDC testbeds. They are used both in the wide area, to experiment with mobile applications and wide-area sensor networks, and in laboratory testbeds, to investigate local applications and services such as precise location identification.

 

FIDC testbeds are gaining global traction, with support from a growing international community. For a variety of practical reasons, testbed developers are increasingly turning to federated designs as a strategy to achieve scale while controlling cost and administrative effort. Federated testbeds rely on a web of trust relationships, uniting the key testbed stakeholders: infrastructure providers, testbed developers, and research / educational users. Several national-scale FIDC testbeds are employing a federation approach to their development and deployment. In addition, a number of these national testbeds are entering into collaborative efforts to create a worldwide, federated infrastructure that facilitates transcontinental FIDC research.

 

This workshop will address the research and educational opportunities, capabilities and supporting technologies of FIDC testbeds. The goal of this workshop is to bring together a community that represents the multiple constituencies of FIDC testbeds to encourage a fast-paced exchange of requirements, capabilities, and areas for future research. Accordingly, we seek research papers and experience reports in the following areas.

 

  1. Applications of FIDC testbeds in research, applications, network infrastructure, and education. E.g., experiment designs & results in networking, distributed computing, cloud computing, and data intensive computational science; network function virtualization; long-lived deployments of novel applications; FIDC testbed-supported computer science curriculum and classroom experiences.
  2. FIDC testbed technologies. E.g., software and designs for resource management; federated trust and policy management; experiment and application design, management, and control; virtualization techniques; software-defined networking advances; significant testbed deployments.
  3. Federation. E.g., software and design for federation of independently managed national and international testbed resources; challenges and experiences of federated FIDC experimentation; common API for control plane and data plane federation.
  4. Wireless, Mobile and Sensor Testbeds, with particular emphasis on mobile applications, smart distributed physical infrastructures and integration with wired FIDC testbeds.
  5. Global experimental infrastructure of the future. Large-scale systems and experiments which exploit the use of Distributed Clouds on a global basis,  and the construction of global networks to support next-generation FIDC experiments.

 

Submissions

Submissions are single-blind and should not exceed 6 pages in length (in IEEE format). For an accepted paper, at least one author must attend the workshop.  Submissions are through the HotCRP site at: https://crp.net.t-labs.tu-berlin.de/fidc2014/.

 Updates

Please check for updates at the Workshop website: http://sites.google.com/site/fidc14

Important Dates

Submissions due: May 5, 2014 May 15, 2014

Notification: May 23, 2014 May 25, 2014

Final papers due: June 8, 2014

Workshop: September 12, 2014

 

Organizing Committee

Mark Berman, GENI Project Office, Raytheon BBN Technologies

Chip Elliott, GENI Project Office, Raytheon BBN Technologies

Lawrence Landweber, BBN/GPO and University of Wisconsin, USA

Rick McGeer,  US Ignite and the Communication and Design Group

Stefan Schmid, TU Berlin & T-Labs

Technical Program Committee

Name

Affiliation

Rick McGeer (Chair)

US Ignite and CDG SAP America

Ilya Baldine

RENCI

Nick Bastin

Barnstomer Softworks

Andy Bavier

Princeton

Mark Berman

BBN/GPO

Jack Brassil

HP Labs

Mauro Campanella

GEANT/GARR

Justin Cappos

NYU

Jiann-Liang Chen

National Taiwan University of Science and Technology

Chip Elliott

BBN/GPO

Serge Fdida

UPMC

James Kempf

Ericsson Labs

Dongkyun Kim

Korea Institute of Science and Technology Information

Larry Landweber

BBN/GPO

Alberto Leon-Garcia

University of Toronto

Te-Lung Liu

National Applied Research Labs, Taiwan

Joe Mambretti

Northwestern

Paul Mueller

TU-Kaiserslautern

Hausi Muller

University of Victoria

Aki Nakao

University of Tokyo

Max Ott

NICT Australia

Marcin Paprzycki

Systems Research Institute of the Polish Academy of Sciences

Thierry Parmentelat

INRIA

Glenn Ricart

US Ignite

Stefan Schmid

TU Berlin & T-Labs

Michael Stanton

RNP Brazil

Brecht Vermuelen

iMinds/Ghent University, Belgium

Michael Zink

University of Massachusetts - Amherst