Software Defined Networking for big-data science
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1 Software Defined Networking for big-data science Eric Pouyoul Chin Guok Inder Monga (presenting) TERENA Network Architects meeting, Copenhagen November 21 st, 2012
2 ESnet: World s Leading Science Network (DREN/Internet2/NLR) CANADA (CANARIE) ASIA-PACIFIC (ASGC/Kreonet2/ TWAREN) RUSSIA AND CHINA (GLORIAD) CANADA (CANARIE) LHCONE FRANCE (OpenTransit) CERN (USLHCNet) ASIA-PACIFIC (KAREN/KREONET2/ NUS-GP/ODN/ REANNZ/SINET/ TRANSPAC/TWAREN) SEATTLE PNNL RUSSIA AND CHINA (GLORIAD) ASIA-PACIFIC (BNP/HEPNET) AUSTRALIA (AARnet) LATIN AMERICA CLARA/CUDI SUNNYVALE ASIA-PACIFIC (ASCC/KAREN/ KREONET2/NUS-GP/ ODN/REANNZ/ SINET/TRANSPAC) SACRAMENTO LBNL SLAC BOISE (DREN/Internet2/ NASA) (NASA/NISN/ USDOI) DENVER (DREN/Internet2/ NISN/NLR) AMES CHICAGO KANSAS CITY FNAL ANL NEW YORK PPPL JLAB BNL BOSTON WASHINGTON DC (Internet2/ NLR) CERN CANADA (CANARIE) EUROPE (GÉANT/ NORDUNET) ASIA-PACIFIC (SINET) ORNL AUSTRALIA (AARnet) ALBUQUERQUE NASHVILLE EUROPE (GÉANT) ATLANTA LATIN AMERICA (AMPATH/CLARA) LATIN AMERICA (CLARA/CUDI) 100G IP Hubs 4x10G IP Hub El PASO HOUSTON (DREN/Internet2/ NISN) Major R&E and International peering connections
3 Problems = Opportunities for innovation (1) Elephant Flows: big-data movement for Science, end-to-end
4 Complexity = Opportunity (2): Global Multi-Domain Collaborations like LHC CERN T1 mile s kms France Italy UK Netherlands Germany Spain Nordic USA New York USA - Chicago Canada BC Taiwan Source: Bill Johnston The LHC Open Network Environment (LHCONE) The LHC Optical Private Network (LHCOPN) O(1-10) meter O(10-100) meters O(1) km ,000 km CERN Computer Center detector Level 1 and 2 triggers Level 3 trigger ~50 Gb/s (25Gb/s ATLAS, 25Gb/s CMS) 1 PB/s LHC Tier 0 Deep archive and send data to Tier 1 centers LHC Tier 1 Data Centers LHC Tier 2 Analysis Centers
5 Science DMZ, perfsonar, NSI, OSCARS, 100G network is the current reality still a lot of work to be done The following slides are forward-looking perspective
6 Software-Defined Networking
7 What is Software-Defined Networking? (as defined by Scott Shenker, October 2011) The ability to master complexity is not the same as the ability to extract simplicity Abstractions key to extracting simplicity SDN is defined precisely by these three abstractions Distribution, forwarding, configuration
8 Fundamental Network Abstraction: a end-to-end circuit Wavelength, PPP, MPLS, L2TP, GRE, NSI-CS A Z Switching points, store and forward, transformation Simple, Point-to-point, Provisonable
9 New Network Abstraction: WAN Virtual Switch WAN Virtual Switch Simple, Multipoint, Programmable Configuration abstraction: Expresses desired behavior Hides implementation on physical infrastructure It is not only about the concept, but implementation
10 Simple Example: One Virtual Switch per Collaboration ALCF WAN Virtual Switch NERSC OLCF (DREN/Internet2/NLR) CANADA (CANARIE) ASIA-PACIFIC (ASGC/Kreonet2/ TWAREN) RUSSIA AND CHINA (GLORIAD) CANADA (CANARIE) LHCONE FRANCE (OpenTransit) CERN (USLHCNet) ASIA-PACIFIC (KAREN/KREONET2/ NUS-GP/ODN/ REANNZ/SINET/ TRANSPAC/TWAREN) SEATTLE PNNL RUSSIA AND CHINA (GLORIAD) ASIA-PACIFIC (BNP/HEPNET) AUSTRALIA (AARnet) LATIN AMERICA CLARA/CUDI SUNNYVALE ASIA-PACIFIC (ASCC/KAREN/ KREONET2/NUS-GP/ ODN/REANNZ/ SINET/TRANSPAC) SACRAMENTO LBNL SLAC BOISE (DREN/Internet2/ NASA) (NASA/NISN/ USDOI) DENVER (DREN/Internet2/ NISN/NLR) AMES CHICAGO KANSAS CITY FNAL ANL BOSTON BNL NEW YORK PPPL WASHINGTON DC JLAB (Internet2/ NLR) CERN CANADA (CANARIE) EUROPE (GÉANT/ NORDUNET) ASIA-PACIFIC (SINET) ORNL AUSTRALIA (AARnet) ALBUQUERQUE NASHVILLE EUROPE (GÉANT) ATLANTA LATIN AMERICA (AMPATH/CLARA) LATIN AMERICA (CLARA/CUDI) El PASO HOUSTON (DREN/Internet2/ NISN)
11 Programmability Site Domain OpenFlow Controller OF protocol WAN Domain WAN Virtual Switch Expose flow programming interface leveraging standard OF protocol
12 Programmable by end-sites App 1 Program flows: Science Flow1: Science Flow2: Science Flow3: App WAN Virtual Switch 2 OF Ctrl. OF Ctrl. Multi-Domain Wide Area Network App 1 App 2
13 Many collaborations, Many Virtual Switches WAN WAN Virtual Switch WAN Virtual Switch WAN Virtual Switch WAN Virtual Virtual Switch Switch Multi-Domain Wide Area Network
14 SRS Demonstration Physical Topology DTNs Ciena booth SRS OSCARS virtual circuits NEC LBL DTNs: Data Transfer Nodes
15 Virtual Switch Implementation: Mapping abstract model to the physical Virtual Physical SRS Virtual Switch A B C D Create Virtual switch: Specify edge OF ports Specify backplane topology and bandwidth Policy constraints like flowspace Store the switch into a topology service B OF Switch C OF Switch A OF Switch OF Switch D
16 WAN Virtual Switch: Deploying it as a service App 1 App 2 Policy/Isolation of customer OF control Customer Flowvisor OF OF End-site OF controller Virtual Switch Software stack Virtual Switch Application Virtual SW Controller OpenFlow API OSCARS Client Infrastructure Software, Slicing and provisioning OF Network Flowvisor OSCARS API OSCARS OF Switch OF OF Switch Wide Area Network OF Switch OF Switch
17 Example of ping across WAN virtual switch 3. Need to ARP 6. virtual-mac-addresses learned and mapped to real flow SRS Virtual Switch 2. Packet_in 4. ARP 4. ARP 5. ARP response H2 H1 1. Ping H2 OF Switch 7. flow_mod 8. Ping H2 OF Switch OF Switch 8. Ping H2
18 What does this mean for networking? User SDN Controller OpenFlow Customer/User Control Plane Policy and Isolation Network Service Interface WAN Virtual Switch Programmable service provisioning plane Network Service Interface Multi-domain Legacy and OpenFlow control plane End-to-End Dataplane Creation of a programmable network provisioning layer Sits on top of the network OS
19 Summary Powerful network abstraction Files / Storage Benefits Simplicity for the end-site Works with off-the-shelf, open-source controller Topology simplification Generic code for the network provider Virtual switch can be layered over optical, routed or switched network elements OpenFlow support needed on edge devices only, core stays same Programmability for applications Allows end-sites to innovate and use the WAN effectively
20 Future Work Harden the architecture and software implementation Move from experiment to test service Verify scaling of the model Using virtual machines, other emulation environments Automation and Intelligent provisioning Work over multi-domain Wizards for provisioning Dynamic switch backplane Create recurring abstractions Virtual switch in campus How do we deal with a network of virtual switches
21 Acknowledgements Many folks at ESnet who helped with the deployment and planning Sanjay Parab (CMU), Brian Tierney, John Christman, Mark Redman, Patrick Dorn among other ESnet NESG/OCS folks Ciena Collaborators: Rodney Wilson, Marc Lyonnais, Joshua Foster, Bill Webb SRS Team Andrew Lee, Srini Seetharaman DOE ASCR research funding that has made this work possible
22 Questions please contact imonga at es.net Thank you!
23 Computer virtualization
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