Slide 1 Panel: Reality Check on Implementing SDN Kuang-Ching (KC) Wang, Clemson University William Brockelsby, North Carolina State University Tripti Sinha,

Slides:



Advertisements
Similar presentations
Duke University SDN Approaches and Uses GENI CIO Workshop – July 12, 2012.
Advertisements

Migration Considerations and Techniques to MPLS-TP based Networks and Services Nurit Sprecher / Nokia Siemens Networks Yaacov Weingarten / Nokia Siemens.
Network Systems Sales LLC
Pros and Cons of Cloud Computing Professor Kam-Fai Wong Faculty of Engineering The Chinese University of Hong Kong.
M A Wajid Tanveer Infrastructure M A Wajid Tanveer
Cloud Computing: Theirs, Mine and Ours Belinda G. Watkins, VP EIS - Network Computing FedEx Services March 11, 2011.
Current impacts of cloud migration on broadband network operations and businesses David Sterling Partner, i 3 m 3 Solutions.
Kathy Benninger, Pittsburgh Supercomputing Center Workshop on the Development of a Next-Generation Cyberinfrastructure 1-Oct-2014 NSF Collaborative Research:
Virtualization of Fixed Network Functions on the Oracle Fabric Krishna Srinivasan Director, Product Management Oracle Networking Savi Venkatachalapathy.
Title or Title Event/Date Presenter, PresenterTitle, Internet2 Network Virtualization & the Internet2 Innovation Platform To keep our community at the.
Internet2 and AL2S Eric Boyd Senior Director of Strategic Projects
Title or Title Event/Date Presenter, PresenterTitle, Internet2 Network Virtualization & the Internet2 Innovation Platform To keep our community at the.
Introduction to Unitas Global Managed IT Infrastructure Service Provider February 2012 North America Los Angeles, USA
The 2009 Cloud Consensus Report July 28, 2009 Bringing the Cloud Down to Earth Sponsored by the Merlin Federal Cloud Initiative.
Internet2 Network: Convergence of Innovation, SDN, and Cloud Computing Eric Boyd Senior Director of Strategic Projects.
SDN and Openflow.
Cisco and NetApp Confidential. Distributed under non-disclosure only. Name Date FlexPod Entry-level Solution FlexPod Value, Sized Right for Smaller Workloads.
DevOps and Private Cloud Automation 23 April 2015 Hal Clark.
RIT Campus Data Network. General Network Statistics Over 23,000 wired outlets Over 14,500 active switched ethernet ports > 250 network closets > 1,000.
What is Cloud Computing? o Cloud computing:- is a style of computing in which dynamically scalable and often virtualized resources are provided as a service.
1© Copyright 2015 EMC Corporation. All rights reserved. SDN INTELLIGENT NETWORKING IMPLICATIONS FOR END-TO-END INTERNETWORKING Simone Mangiante Senior.
Demonstrating IT Relevance to Business Aligning IT and Business Goals with On Demand Automation Solutions Robert LeBlanc General Manager Tivoli Software.
Experimenting with Persistent Live Video Streaming Service Kuang-Ching (KC) Wang Clemson University joint project with Parmesh Ramanathan University of.
Banking Clouds V International Youth Banking Forum.
1 Building National Cyberinfrastructure Alan Blatecky Office of Cyberinfrastructure EPSCoR Meeting May 21,
EVOLVING TRENDS IN HIGH PERFORMANCE INFRASTRUCTURE Andrew F. Bach Chief Architect FSI – Juniper Networks.
National Science Foundation Arlington, Virginia January 7-8, 2013 Tom Lehman University of Maryland Mid-Atlantic Crossroads.
System Management for Virtualization and Automation in a Dynamic Data Center SVM’08 Munich Karsten Beins, Sen. Director Infrastructure Technology.
The University of Texas at San Antonio The Office of Information Technology Network Upgrade Overview.
Enterprise Architecture and Infrastructure Progress Report for Committee on Technology and Architecture March 2012 Mark Day Dept. of Radiology & Biomedical.
INTERNATIONAL NETWORKS At Indiana University Hans Addleman TransPAC Engineer, International Networks University Information Technology Services Indiana.
Campus Cyberinfrastructure – Network Infrastructure and Engineering (CC-NIE) Kevin Thompson NSF Office of CyberInfrastructure April 25, 2012.
11 IT Expo West 2010 General Session: Cloud Computing Nigel Williams SVP Sales.
GEC 15 Houston, Texas October 23, 2012 Tom Lehman Xi Yang University of Maryland Mid-Atlantic Crossroads (MAX)
The University of Bolton School of Games Computing & Creative Technologies LCT2516 Network Architecture CCNA Exploration LAN Switching and Wireless Chapter.
UNM RESEARCH NETWORKS Steve Perry CCNP, CCDP, CCNP-V, CCNP-S, CCNP-SP, CCAI, CMNA, CNSS 4013 Director of Networks.
Sponsored by the National Science Foundation GENI Integration of Clouds and Cyberinfrastructure Chip Elliott GENI Project Director
FUTURE OF NETWORKING SAJAN PAUL JUNIPER NETWORKS.
Sponsored by the National Science Foundation GENI Goals & Milestones GENI CC-NIE Workshop NSF Mark Berman January 7,
Connect communicate collaborate GÉANT3 Services Connectivity and Monitoring Services by and for NRENs Ann Harding, SWITCH TNC 2010.
Software Defined Networks for Dynamic Datacenter and Cloud Environments.
Slide 1 Experiences with PerfSONAR and a Control Plane for Software Defined Measurement Yan Luo Department of Electrical and Computer Engineering University.
Slide 1 9/29/15 End-to-End Performance Tuning and Best Practices Moderator: Charlie McMahon, Tulane University Jan Cheetham, University of Wisconsin-Madison.
Slide 1 Campus Design – Successes and Challenges Michael Cato, Vassar College Mike James, Northwest Indian College Carrie Rampp, Franklin and Marshall.
Ruth Pordes November 2004TeraGrid GIG Site Review1 TeraGrid and Open Science Grid Ruth Pordes, Fermilab representing the Open Science.
Private Cloud Hosting. IT Business Challenges I need to extend my on-premises virtualized environment to utilize the Cloud and manage the entire environment.
1 Recommendations Now that 40 GbE has been adopted as part of the 802.3ba Task Force, there is a need to consider inter-switch links applications at 40.
Cyberinfrastructure: An investment worth making Joe Breen University of Utah Center for High Performance Computing.
Adoption and Use of Electronic Medical Records (in Federally Qualified Health Centers) and Supporting an ASP Community Care Network of Virginia, Inc.
© 2012 IBM Corporation IBM Security Systems 1 © 2012 IBM Corporation Cloud Security: Who do you trust? Martin Borrett Director of the IBM Institute for.
CISC 849 : Applications in Fintech Namami Shukla Dept of Computer & Information Sciences University of Delaware A Cloud Computing Methodology Study of.
Advanced research and education networking in the United States: the Internet2 experience Heather Boyles Director, Member and Partner Relations Internet2.
1 TCS Confidential. 2 Objective : In this session we will be able to learn:  What is Cloud Computing?  Characteristics  Cloud Flavors  Cloud Deployment.
1© Copyright 2015 EMC Corporation. All rights reserved. FEDERATION ENTERPRISE HYBRID CLOUD OPERATION SERVICES FULL RANGE OF SERVICES TO ASSIST YOUR STAFF.
EGI-InSPIRE RI EGI-InSPIRE EGI-InSPIRE RI EGI strategy and Grand Vision Ludek Matyska EGI Council Chair EGI InSPIRE.
SCIENCE_DMZ NETWORKS STEVE PERRY, DIRECTOR OF NETWORKS UNM PIYASAT NILKAEW, DIRECTOR OF NETWORKS NMSU.
Introduction to Avaya’s SDN Architecture February 2015.
© 2013, CYAN, INC. 11 Software Defined Metro Networks TNC2013 Virtualization and Innovation Robin Massey SE Manager EMEA
Taking your Business Technology Further. First Communications: At A Glance Technology Provider since 1998, serving thousands of Businesses throughout.
Avnet EMEA Converged Strategy and Vision. Converged Infrastructure Observations Industry Leading Converged Infrastructure – Industry Leading Distribution.
100GE Upgrades at FNAL Phil DeMar; Andrey Bobyshev CHEP 2015 April 14, 2015.
Designing Cisco Data Center Unified Fabric
UNM SCIENCE DMZ Sean Taylor Senior Network Engineer.
GENI Enabled Software Defined Exchange (SDX) and ScienceDMZ (SD-SDMZ)
READ ME FIRST Use this template to create your Partner datasheet for Azure Stack Foundation. The intent is that this document can be saved to PDF and provided.
Avenues International Inc.
Internet2 Cloud Integration Plans
How Smart Networks are Changing Corporate Networks
© 2016 Global Market Insights, Inc. USA. All Rights Reserved Software Defined Networking Market to grow at 54% CAGR from 2017 to 2024:
Software Defined Networking (SDN)
Presentation transcript:

Slide 1 Panel: Reality Check on Implementing SDN Kuang-Ching (KC) Wang, Clemson University William Brockelsby, North Carolina State University Tripti Sinha, University of Maryland

Slide 2 Introductions Moderator: KC Wang, Clemson University –Associate Professor and Networking CTO –Director, Center of Excellence for Next Generation Computing & Creativity William Brockelsby, NC State University –Lead Network Architect Tripti Sinha, University of Maryland –Assistant VP and CTO –Executive Director, MAX

Slide 3 Panel Discussion Questions Is SDN ready for production deployment on university campuses? How do you see SDN, once mature and in place, impact university faculty, students, staff, and IT? Where, if any, should further investment be to further SDN deployment on university campuses?

Slide 4 Clemson University CC-NIE: Clemson NextNet

Slide 5 Clemson NextNet – a Campus Wide Science DMZ Big Switch Controller (partnership) Dell/Force10, Pica8 20 buildings 40/10 Gbps I2 AL2S via Brocade MLXe32

Slide 6 Our Proposed Focus Production acquisition, deployment, operation Build campus “SDN Team” (IT + faculty + students) Focus on science use cases –Bioengineering – Transfer HPC overlay for da Vinci surgical robots –Genomics – Transfer large data sets from NCBI/NIH –Social Media – Transfer cross-country search results –Visualization/Video – Transfer large graphic/video data

Slide 7 What Worked, What Did Not Up and running – mixed vendor HW + Big Switch Controller Brings faculty, students, and IT, across universities, closer than ever – new partnerships are here to stay Showed what’s possible – new NSF projects proposed/funded in multiple domains I2 AL2S (also a SDN) is heavily used XPainful for engineers – switch firmware bugs, vendor-dependent OpenFlow behavior, no production-grade campus SDN controller, limited demand – witness growth over 3 years, not “production ready” XWhat’s available with SDN today has not physically benefited science  not yet, but significant progress already though, getting close  Other than network researchers, science users care about  speed (SDN or not)  workflow (SDN to be developed & requires inter-campus SDN coordination/federation)

Slide 8 Most Significant Benefits of CC-NIE: Bringing People, Schools, Research Areas Closer

Slide 9 Production SDN Indeed is Coming University IT is Transforming While deployed CC-NIE network needed lots of “care”, network engineers accumulated lots of insights of SDN realities & gotchas. In parallel, IT satisfactorily evaluated and adopted vendor white-box SDN data center fabric and monitoring fabric –production experience, fast feature speed, close vendor relationship –BUT completely new model for network planning, provisioning, security –breaking silos, shift of responsibilities SDN is still useful to sustain innovations already underway, even if it may be in smaller footprint, less than abundant traffic, and remains painful for network engineers for a while. –New mindset on campus – researchers + engineers as day-to-day norm

Slide 10 North Carolina State University CC-NIE: Data Intensive e-Science and SDN

Slide 11 Goals Eliminate bandwidth bottlenecks that hinder the success of researchers across many different disciplines in several physical locations on campus Leverage SDN functionality of new hardware to develop a virtual science DMZ Connect our SDN environment to the regional SDN environment being developed by MCNC (provides access to I2 AL2S)

Slide 12 Eliminate Bandwidth Bottlenecks Upgrade research building uplinks from 1Gb/s to 10Gb/s and deploy 10Gb/s aggregation switches where needed Deploy 1Gb/s switches with 10Gb/s uplinks to replace legacy 10/100 Mb/s switches Make direct 10Gb/s connections available where needed (research specific server rooms)

Slide 13 Deploy a Hybrid Architecture New switches can operate in “classic” mode for typical use cases Specific ports can operate in SDN/OpenFlow mode to permit development of new use cases (virtual science DMZ) Hybrid architecture allows experimentation with new technology with lower risk

Slide 14 SDN Application Permit dynamic virtual circuit provisioning on ports participating in SDN on hybrid switches Leverage Q-in-Q and MPLS L2 VPNs to connect “islands of SDN” transparently on campus in hardware at line rate Develop a virtual science DMZ by deploying dedicated “friction free” paths by utilizing SDN in buildings and Q-in-Q and MPLS on the backbone

Slide 15

Slide 16 Current Status Procured 48 1Gb/s switches with 10Gb/s ports; 4 10Gb/s aggregation switches All but 3 switches are physically deployed, continuing to patch researchers into infrastructure In process of deploying SDN based virtual circuit controller for virtual science DMZ use case Working with regional network provider to prepare for integration into regional SDN (access to I2 AL2S)

Slide 17 Project Review Developed excellent opportunities to start and continue discussions between faculty, staff and students Hybrid architecture permits immediate benefit with low risk adoption of SDN based use cases Minor difficulty with SDN/OpenFlow: Some hardware and software challenges Overall an excellent opportunity for our campus: Thank You!

Slide 18 University of Maryland Tripti Sinha

Slide 19 SDN focused work sponsored by: NSF Award No: CC-NIE Integration: SDNX - Enabling End-to-End Dynamic Science DMZ Lead Organization: UMD Co-PIs: GW NSF Award No: CC-NIE Integration: High Performance Computing with Data and Networking Acceleration (HPCDNA) Lead Organization: UMD

Slide 20 Reality Check on Implementing SDN: SDN’s Play Commercial Infrastructures R&E Infrastructures, Science DMZs Creative One-offs

Slide 21 Reality Check on Implementing SDN Commercial Infrastructures –SDN in commercial datacenters –SDN in private self-built custom networks (Google) –Next: SDN in commercial service providers –Future: SDN in the Enterprise R&E Infrastructures, Science DMZ –Internet2's nationwide Openflow network and their OESS/FSFW software suite –ESnet and their dynamic provisioning system OSCARS –Some regional networks have deployed the same or similar technologies –Campus ScienceDMZs –Campus core networks and datacenters (in support of ScienceDMZs)

Slide 22 How Maryland and MAX are employing SDN

Slide 23 UMD and MAX SDN Focus Areas SDN across the MAX regional and inside the “ScienceDMZ Facility” –SDN as an enabling function to coordinate and orchestrate access to compute and storage services in user specific ways Creative One-offs in managing security –Applying new approaches to threat identification and response –SDN controller being used as a “more flexible policy based router” (allowing access to trusted flows and denial to untrusted flows) –SDN technologies have a more palatable cost in keeping up with higher network speeds compared to expensive proprietary hardware based security appliances Adoption of SDN across the core enterprise will likely be slow –Campus networks are complex environments serving multiple needs quite well –Adoption rate will only increase when compelling use cases see SDN as an enabler (like the ScienceDMZ). No compelling forcing function yet.

Slide 24 Reality Check on Implementing SDN Some unexpected positive byproducts of SDN work –Bringing communities together (scientists and information technologists) –Recognizing that enablers need a closer coupling with domain experts –Being creative with SDN -- looking beyond datacenters and Science DMZs