CALL FOR PARTICIPATION
MERIF Education Workshop
Ibrahim Matta (Boston University), Violet Syrotiuk (Arizona State University), Tim Wood (George Washington University), Larry Landweber (University of Wisconsin)
The NSF-funded Midscale Experimental Research Infrastructure Forum (MERIF) is sponsoring a Workshop whose goal is to teach university and college faculty how to use the various NSF-funded midscale experimental testbeds in their classes. The Workshop will be held on May 29-30 at George Washington University in Washington DC.
The following testbeds (descriptions are included below) will participate:
The Workshop will begin with short presentations that describe these testbeds including their targeted scientific areas. This will be followed by 3-hour hands-on tutorials by each of the testbeds, three during May 29, afternoon and three during May 30 morning. The Workshop will end at 1pm on May 30.
Because of the need for parallel scheduling of tutorials, each attendee will only be able to participate in two of the six tutorials. To optimize participation, applicants will provide a priority list when applying. Applicants will also be asked to describe courses they expect to teach during AY2019-2020 where one or more of the testbeds might be utilized.
Support for travel, hotel and meals is available via NSF grants. The application for attendance and support (if needed) may be accessed via the Workshop web site http://merif.seas.gwu.edu Applications must be received by Friday, April 5, 2019 and applicants will be notified of decisions with respect to attendance and support by Monday, April 8, 2019. Hotel information will be available on the Workshop website.
For further information see the Workshop web site: http://merif.seas.gwu.edu
The following briefly describes each testbed. See the URLs given for detailed information.
The Chameleon project provides a large-scale, fully configurable experimental testbed driven by the needs of the cloud research and education communities. The testbed, and the ecosystem associated with it, enable researchers to explore a range of cloud research challenges, from large scale to small scale, including exploring low-level problems in hardware architecture, systems research, network configuration, and software design, or at higher levels of abstraction looking at cloud scheduling, cloud platforms, and cloud applications.
CloudLab is a place where researchers can try out ideas using any cloud software stack they can imagine. It accomplishes this by running at a layer below the cloud infrastructure: it provides isolated, bare-metal access to a set of resources that researchers can use to bring up their own clouds. These clouds may run instances of today's popular stacks, modest modifications to them, or something entirely new. CloudLab is not tied to any particular cloud stack, and supports experimentation on multiple in parallel.
The Cloud Enhanced Open Software Defined Mobile Wireless Testbed for City-Scale Deployment (COSMOS) supports at-scale experimentation of novel advanced wireless broadband and communication technologies in the sub-6 GHz bands and in the millimeter wave frequency bands in a densely populated, urban setting. Radio nodes in COSMOS provide a mix of fully programmable software defined radios (SDRs) for flexible wireless experimentation as well as commercial hardware capable of supporting networking and applications research with currently available end-user devices. The design includes novel 100 Gbps+ fiber, free space optical, and microwave backhaul technologies interconnected with a software-defined network (SDN) switching fabric for minimum latency and flexibility in setting up experimental network topologies.
The ORBIT testbed, which researchers access remotely over the Internet, provides a flexible, scalable and reproducible platform for conducting wireless network experiments. ORBIT lowers the barrier for experimentation in the area of radio and wireless technology and thus improves education and research productivity in the field.
EdgeNet is a viral, distributed edge cloud, in the family of PlanetLab, GENI, JGN-X, and PlanetLab Europe. It is a modern distributed edge cloud, incorporating advances in Cloud technologies over the past few years. EdgeNet is based on industry-standard Cloud software, with Docker as the containerization technology and Kubernetes as the node manager and deployment solution. It is an opt-in global Kubernetes cluster; once a user has authenticated with this portal and been approved, she will be able to use standard Kubernetes tools and technologies to deploy an application across the EdgeNet infrastructure.
The Global Environment for Network Innovations (GENI) is a large-scale, experimental facility to support the experimental exploration of robust new networking, distributed systems, and service architectures. GENI is a comprehensive, continental-scale research facility that allows controlled end-to-end experimentation with new architectures, protocols, services, data dissemination techniques, and more, running over an extensive national fiber optic infrastructure with next generation dynamic optical switching and routing, fully programmable core and edge nodes, heterogeneous sensor networks, wireless networks and other edge devices. All infrastructure is shared among a large number of individual, simultaneous experiments and is instrumented for the collection, analysis and pooling of measurements.
The Platform for Open Wireless Data-driven Experimental Research (POWDER) supports at-scale experimentation of novel advanced wireless broadband and communication technologies in the sub-6 GHz band. The project features interactions with regional networks encompassing initiatives on public transportation, broadband delivery, education and health service delivery as well as advancement of science, technology and research by creating an ecosystem of a hundred small companies in allied technical domains. A key feature of the platform is the partnership with the Reconfigurable Eco-system for Next-generation End-to-end Wireless (RENEW) project at Rice University to develop a highly programmable and flexible massive multi-input multi-output (MIMO) platform that is an essential feature of both 5G and beyond-5G wireless networks.