wiki:GEC11PosterDescriptions

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GEC 11 Poster Descriptions

Secure Content Centric Mobile Network (SECON)

Mooi Choo Chuah, Lehigh University
Xiong Xiong, Lehigh University

Abstract

New wireless technologies allow mobile users to have easy access to real time data, and stay connected with friends, colleagues, & business partners. However emerging applications are usually data-centric but existing IP oriented paradigms are not flexible enough to support this. To support emerging mobile applications, we are developing a next generation mobile network that supports mobile content centric networking features, namely (a) intentional named message delivery, (b) content-centric security, (c) push-pull based data disseminations.

In our new SECON network, users can send User Interest (UI) packets to Content Resolution Server (CRS) to request for content data (CD) packets associated with a particular URI. The UIs will be forwarded by the receiving CRS to other CRSes that know who will be publishing content packets related to that URI. The UIs can also have intentional-named destinations e.g. all CRSes within a certain geographical area. In addition content publishers can send content publish announcements to CRSes before they forward content data packets to these CRSes. We have a preliminary prototype that supports UI, CPA & CD features. More features will be added in the near future.

More Information:

http://www.cse.lehigh.edu/~chuah/public_secon.html
http://www.cse.lehigh.edu/~chuah/secon.html


GENI Experiments on P2P and MANET Networks

Haiyin (Helen) Shen, Clemson University
Kuang-Ching Wang, Clemson University
Kang Chen, Clemson University
Ke Xu, Clemson University
Steven Winburn, Clemson University

Abstract

Today’s society is witnessing a tremendous increase in digital information. Myriads of applications call for the pooling and sharing of massive amounts of widely-scattered data at ever increasing scales that require a commensurate infrastructure of powerful networked distributed systems across wide and diverse areas. We will implement two existing data sharing algorithms, Cycloid and LORD, on the P2P and MANET networks, and thus identify and investigate potential issues in data sharing applications in these different heterogeneous networks.  We are using GENI as the testbed for simulating the P2P and MANET network environments.  Also, we will conduct a multi-system GENI experiment to demonstrate how each domain should have its own routing solutions while all the domains are federated through OpenFlow gateways.


PrimoGENI - Developing GENI Aggregates for Real-TIme Large-Scale Network Simulation

Nathanael Van Vorst, School of Computing and Information Sciences, Florida International University
Miguel Erazo, School of Computing and Information Sciences, Florida International University
Hao Jiang, School of Computing and Information Sciences, Florida International University
Ting Li, School of Computing and Information Sciences, Florida International University
Jason Liu, School of Computing and Information Sciences, Florida International University

Abstract

The goal of PrimoGENI is to incorporate real-time network simulation into the GENI "ecosystem". We have extended PRIME, our existing real-time large-scale network simulator, to become part of the GENI federation. PrimoGENI will support large-scale GENI experiments with millions of simulated network entities (hosts, routers, and links) and thousands of emulated elements running unmodified network protocols and applications.

GENI Project:

PrimoGENI

More Information:

https://www.primessf.net/pub/Public/PrimoGENIProject/gec11.pdf
http://www.primessf.net/PrimoGENI


TUNIE: A Flexible and Programmable Virtualized Network Innovation Environment in China

Yong Li, Electronic Engineering, Tsinghua University

Abstract

Network community needs a flexible platform for network experiment of new architectures, algorithms and protocols in the research of network innovation. However, building such a platform faces lots of challenges due to its complicate requirements. In this poster, we present TUNIE, a network testbed for rapid concurrent experiment of network innovation on virtualized programmable infrastructure in China. ExpoNet provides end-to-end slice including wired and wireless components, which integrates both software- and hardware-based router virtualization technologies to provide a flexible approach to configure and customize both the control plane and data plane while satisfying various experiment requirements. In the wireless part, we have a sensor testbed including 100 wireless sensor nodes, and a WiFi testbed. In the wired part, we have setup one OpenFlow network, and two virtualization testbed based on multi-core servers and FPGA data plane. In our current platform implementation, we have four sites, two sites in Tsinghua University, one another university of BUPT, and one in China Union, one of the largest Service Providers in China. We have setup a Federation plan to extend our platform with other Universities and companies like HUST, Huawei, etc.

More Information:

http://166.111.66.197:81/Main/LabTeams


The Hive Mind: Applying a Distributed Security Sensor Network to GENI

Sean Peisert, University of California, Davis (PI)
Matt Bishop, University of California, Davis
Steven Templeton, University of California, Davis
Carrie Gates, CA Labs (CoPI)

GENI Project:

HiveMind

More Information:

http://hivemind.cs.udavis.edu/


iGENI - Taiwan Integrated Research Network

Chu-Sing Yang, National Cheng Kung University (NCKU)
Mon-Yen Luo, National Kao Hsiung University of Applied Science (KUAS)
Te-Lung Liu, National Center for High Performance Computing (NCHC)
Robert Ricci, University of Utah
Joe Mambretti, Northwestern University
Jim Chen, Northwestern University
Fei Yeh, Northwestern University
Alan Verlo, University of Illinois, Chicago
Maxine Brown, University of Illinois, Chicago
Tom DeFanti, University of California, San Diego

Abstract

One of the international partner projects for iGENI in Taiwan, the National Science Council/Taiwan funded the National Telecommunication Project: Study and Deployment of Network Virtualization Architecture(NCKU,KUAS and other universities) has initiated the development and deployment of a new network virtualization architecture on a national research/education backbone: TWAREN (NCHC). In addition to this collaboration project, iGENI also worked with ProtoGENI team to implement a direct connection between ProtoGENI and network research infrastructure in Taiwan, which is enabling an enhanced partnership between GENI community and the Taiwan network research communities.

GENI Project:

ProtoGENI
IGENI

More Information:

http://www.icair.org/


Trema; An Open Source OpenFlow Controller Platform

Hideyuki Shimonishi, System Platforms Research Laboratories, NEC Corporation
Yasunobu Chiba, System Platforms Research Laboratories, NEC Corporation
Yasuhito Takamiya, System Platforms Research Laboratories, NEC Corporation
Kazushi Sugyo, System Platforms Research Laboratories, NEC Corporation

Abstract

  • Trema is a free OpenFlow controller platform (GPL v2)
    • Assists anyone who wants to develop his/her own OpenFlow controller
    • Not targeted for any specific OpenFlow controller implementation
  • Trema allows to implement OpenFlow controllers in C and Ruby
  • Trema provides:
    • Various basic libraries on which you can build your own OpenFlow controller
    • Integrated network emulator and developing environment
  • Contact

More Information:

http://trema.github.com/trema/doc/Trema_GEC11_poster.pdf
http://trema.github.com/trema/
https://github.com/trema/trema/wiki


TransCloud

*NO AFFILIATIONS GIVEN*

Alvin AuYoung
Andy Bavier
Jessica Blaine
Jim Chen, Northwestern University
Yvonne Coady
Paul Muller
Joe Mambretti, Northwestern University
Chris Matthews, University of Victoria, Canada
Rick McGeer
Chris Pearson
Alex Snoeren
Fei Yeh, Northwestern University
Marco Yuen

Abstract Transcontinental federation of cloud systems.

GENI Project:

GENICloud


Measurement Data Archive

Giridhar Manepalli, CNRI
Prasad Calyam, Ohio Supercomputing Center

Abstract

Corporation for National Research Initiatives (CNRI) will be demonstrating the functionality of the proposed Measurement Data Archive, which is implemented using the Digital Object Architecture.

The Measurement Data Archive prototype system consists of two components: 1) User Workspace and 2) Object Archive. The User Workspace component is an entry point for users (e.g., experimenters, instrumentation researchers, etc.) to store and transfer measurement data, which could be in a variety of forms (e.g., formatted datasets, raw files, etc.). Data and metadata files managed in the user workspace can be archived for long-term storage in an Object Archive. Once data is archived, a persistent and unique identifier is created.

GENI Project:

DigitalObjectRegistry

More Information:

http://mda.doregistry.org/