wiki:IGENI

Version 1 (modified by hmussman@bbn.com, 10 years ago) (diff)

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Project Number

1719

Project Title

iGENI: A Distributed Network Research Infrastructure for the Global Environment for Network Innovation
a.k.a. IGENI

Technical Contacts

PI: Joe Mambretti Northwestern University, International Center for Advanced Internet Research (iCAIR, www.icair.org) j-mambretti@northwestern.edu
Co-PI: Maxine Brown Electronic Visualization Laboratory (EVL, www.evl.uic.edu) University of Illinois at Chicago maxine@uic.edu
Co-PI: Thomas A. DeFanti California Institute for Telecommunications and Information Technology (Calit2) University of California, San Diego tdefanti@ucsd.edu

Participating Organizations

[www.icair.org "Northwestern University, International Center for Advanced Internet Research (iCAIR)"]
[www.evl.uic.edu "University of Illinois at Chicago, Electronic Visualization Laboratory (EVL)"]
[ "California Institute for Telecommunications and Information Technology (Calit2)"]

GPO Liason System Engineer

Harry Mussman hmussman@geni.net

Scope

This project will develop a complete environment for researchers to conduct data-intensive experiments in GENI from start (the data collection point) to finish (processing and archiving).

To do so, this project will extend the GENI/ViSE sensor network (sensornet) testbed at UMass-Amherst and augment GENI Cluster D’s Orca control framework with capabilities for researchers to

(i) obtain data-centric slices that span core sensornet nodes, data center nodes, and, importantly, storage volumes “in the cloud,”
(ii) deploy popular cloud computing programming paradigms to enable simple, but powerful, distributed data processing, and
(iii) execute experiment workflows to explicitly control experiment data flow and resource allocation across a network of components/aggregates.

The project will build on existing software artifacts in the GENI “ecosystem” and tailor them to the distinct requirements of data-intensive experiments. While the enhanced software artifacts will generalize to any high-bandwidth data-intensive experiments, the GENI/ViSE sensornet testbed, which collects high-bandwidth data from multiple high-power (virtualized) sensor/actuators, will be the initial data source.

Our goal by year one is to incorporate commercial cloud computing services, including storage services, as GENI substrates available for researchers.

Our goal by year two is to enhance GENI’s usefulness by testing and hardening the capability for researchers to request (or load) distributed software platforms on commercial clouds. We will demonstrate the capability using both an MPI stack and Apache’s Hadoop framework, an open-source version of MapReduce and Google File System (GFS).

Our goal by year three is to complete the integration of Gush to discover resources and deploy experiment workflows across data-centric slices in the Orca CF.

Current Capabilities

Milestones

MilestoneDate(DICLOUD: S2.a Cluster plan for VLANs between testbeds)?
MilestoneDate(DICLOUD: S2.b Plan to connect to cloud)?
MilestoneDate(DICLOUD: S2.c Handlers to allocate cloud)?
MilestoneDate(DICLOUD: S2.d Policy to track usage)?
MilestoneDate(DICLOUD: S2.e Demo archiving sensor data)?
MilestoneDate(DICLOUD: S2.f Use CloudWatch to monitor usage)?
MilestoneDate(DICLOUD: S2.g Demo initial proxy aggregate manager)?
MilestoneDate(DICLOUD: S2.h Release initial proxy aggregate manager)?
MilestoneDate(DICLOUD: S2.i Extend ViSE web portal to include cloud)?
MilestoneDate(DICLOUD: S2.j Make available initial set of resources)?
MilestoneDate(DICLOUD: S2.k POC to GENI response team)?
MilestoneDate(DICLOUD: S2.l POC to GENI security team)?
MilestoneDate(DICLOUD: S2.m Contribution to GENI outreach)?

Project Technical Documents

Quarterly Status Reports

Spiral 2 Connectivity

Related Projects

ViSE project

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