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Enabling Data Intensive Applications with Advanced Optical Technologies Joe Mambretti, Director,

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Presentation on theme: "Enabling Data Intensive Applications with Advanced Optical Technologies Joe Mambretti, Director,"— Presentation transcript:

1 Enabling Data Intensive Applications with Advanced Optical Technologies Joe Mambretti, Director, ( International Center for Advanced Internet Research ( Director, Metropolitan Research and Education Network ( Partner, StarLight/STAR TAP, PI-OMNINet ( iGRID 2005 University of California, San Diego Sept. 26-30, 2005

2 Creation and Early Implementation of Advanced Networking Technologies - The Next Generation Internet All Optical Networks, Terascale Networks Advanced Applications, Middleware, Large-Scale Infrastructure, NG Optical Networks and Testbeds, Public Policy Studies and Forums Related to NG Networks Accelerating Leading Edge Innovation and Enhanced Global Communications through Advanced Internet Technologies, in Partnership with the Global Community Introduction to iCAIR:

3 September 26-30, 2005 University of California, San Diego California Institute for Telecommunications and Information Technology [Cal-(IT) 2 ] United States World Of Tomorrow 2005 i Grid 2 oo 5 T H E G L O B A L L A M B D A I N T E G R A T E D F A C I L I T Y Co-Organizers: Tom DeFanti, Maxine Brown

4 Enabling Applications With Advanced Controllable Optical Transport Flexibility and Control (Not Simply ‘Bit Blasting”) Providing Applications With Direct Control of Core Resources, Including at Layer 1 and Layer 2, Nationally and Internationally AMROEBA-EA Distributed Computational Astrophysics Modeling DataWave: Ultra-High-Performance File Transfer Enabled by Dynamic Lightpaths (Parallel Optical Data Transport) LightForce: High-Performance Data Multicast Enabled by Dynamic Lightpaths Exploring Remote and Distributed Data Using Teraflows International 10Gb Line Speed Security Virtual Machine Turntable Multiple OptIPuter Applications

5 Invisible Nodes, Elements, Hierarchical, Centrally Controlled, Fairly Static Traditional Provider Services: Invisible, Static Resources, Centralized Management Distributed Device, Dynamic Services, Visible & Accessible Resources, Integrated As Required By Apps Limited Functionality, Flexibility Unlimited Functionality, Flexibility LambdaGrid Control Plane Paradigm Shift Ref: OptIPuter Backplane Project, UCLP

6 A Next Generation Architecture: Distributed Facility Enabling Many Types Network/Services Commodity Internet Environment: VO Environment: International Gaming Fabric Environment: Control Plane TransLight Environment: Real Org Environment: Sensors Environment: Intelligent Power Grid Control Environment: Real Org1 Environment: Large Scale System Control Environment: Global App Environment: Financial Org Environment: Gov Agency Environment: RFIDNet Environment: Bio Org Environment: Lab Environment: Real Org2 SensorNet FinancialNet HPCNet MediaGridNet R&DNet RFIDNet BioNet PrivNet GovNet1 MedNet

7 Resource Physical Processing Monitoring and Adjustment HP-PPFSHP-APP2HP-APP3HP-APP4 VS ODIN Server Creates/Deletes LPs, Status Inquiry tcp Access Policy (AAA) Process Registration Discovery/Resource Manager, Incl Link Groups Addresses Previously OGSA/OGSI, Soon OGSA/OASIS WSRF Process Instantiation Monitoring ConfDB Lambda Routing: Topology discovery, DB of physical links Create new path, optimize path selection Traffic engineering Constraint-based routing O-UNI interworking and control integration Path selection, protection/restoration tool - GMPLS Data Plane System Manager Discovery Config Communicate Interlink Stop/Start Module Resource Balance Interface Adjustments GMPLS Tools (with CR- LDP) LP Signaling for I-NNI Attribute Designation, eg Uni, Bi directional LP Labeling Link Group designations Control Channel monitoring, physical fault detection, isolation, adjustment, connection validation etc OSM UNI-N Architecture

8 Controlle r Client Data Plane Server IAS Server Controlle r New: Intelligent Application Signaling * Client Layer Control Plane: Communications Service Layer Service Layer, Policy Based Access Control, Client Message Receiver, Signal Transmission, Data Plane Controller, Data Plane Monitor Optical Layer Control Plane Client Layer Traffic Plane Optical Layer – Switched Traffic (Data) Plane Multiiservice: Unicast, BiDirectional, Multicast, Burst Switching UNI I-UNI CI * Also Control Signaling, et al

9 Optical Packet Router Edge Device Cluster Edge Device- Router Optical Packet Router Multilayer Layer Control Planes and Optical Packet Switching Ubiquitous Control Plane Provisioning Wavelength Assignment Wavelength Routing Data Plane – Optical Transport Optical Layer – Switched Lightpaths Optical Routing Ubiquitous Management Plane Access Engineering Restoration Performance Resource Use Audits

10 Multiwavelength Optical Amplifier Multiwavelength Fiber CSW ASW   GE Links GE Links   *N*N  LAN PHY Interface, eg, 15xx nm 10GE serial  GE Links GE Links  Optical,  Monitors, for  Wavelength Precision, etc. Power Spectral Density Processor, Source + Measured PSD DWDM Links Multiple  Per Fiber Computer Clusters Each Node = 1GE Multi 10s, 100s, 1000s of Nodes Multiple Optical Impairment Issues, Including Accumulations Grid Clusters Near Term Potential for 10 G Elec. to BP Longer Term Potential for Driving Light to BP via Si, New Polymers

11 OMNInet Network Configuration 10 GE To Ca*Net 4 StarLight Photonic Node S. Federal Photonic Node UIC Northwestern Photonic Node 10/100/ GIGE 10/100/ GIGE 10/100/ GIGE 10/100/ GIGE 10 GE Optera 5200 10Gb/s TSPR Photonic Node  PP 8600 10 GE PP 8600 PP 8600        Optera 5200 10Gb/s TSPR 10 GE Optera 5200 10Gb/s TSPR     Optera 5200 10Gb/s TSPR     1310 nm 10 GbE WAN PHY interfaces 10 GE PP 8600 Fiber … CAMPUS FIBER (16) EVL/UIC OM5200 LAC/UIC OM5200 CAMPUS FIBER (4) INITIAL CONFIG: 10 LAMBDA (all GIGE) StarLight Interconnect with other research networks 10GE LAN PHY (Dec 03) 8x8x8 Scalable photonic switch Trunk side – 10 G WDM OFA on all trunks TECH/NU-E OM5200 CAMPUS FIBER (4) INITIAL CONFIG: 10 LAMBDAS (ALL GIGE) Optera Metro 5200 OFA NWUEN-1 NWUEN-5 NWUEN-6 NWUEN-2 NWUEN-3 NWUEN-4 NWUEN-8NWUEN-9 NWUEN-7 Fiber in use Fiber not in use 5200 OFA Optera 5200 OFA 5200 OFA DOT Clusters

12 DOT Sites, I-WIRE, and OMNInet UIUC/NCSA Starlight (NU-Chicago) Argonne UChicago IIT UIC Illinois Century Network James R. Thompson Ctr City Hall State of IL Bldg 4 pair 12 pair 4 pair 2 pair 4 pair 18 pair 410 pair 12 pair 2 pair Level(3) 111 N. Canal McLeodUSA 151/155 N. Michigan Doral Plaza Qwest 455 N. Cityfront UC Gleacher 450 N. Cityfront OMNInet All DOT Links Here= GE Not Yet Provisioned Because of SL Renovation This Cluster is at iCAIR Not Yet Part of Testbed

13 Chicago

14 OMNInet The OMNInet Testbed is Developing New Architectural Designs for Communication Services Based on Dynamically Provisioned Lightpaths, Supported by Agile Optical Networks This Research is Investigating New Architecture and Technologies for L1 – L2, While Also Exploring New Complementary L3 and L4 Methods This Research is Creating Fundamentally New Methods for Agile Optical Transport Enabling Migration From Legacy Architecture, Esp. Those Oriented to Centralized Management and Control The OMNInet Testbed Reduces Hierarchical Layers and Implements Highly Distributed Controls, e.g., Enabling Applications To Provision Lightpaths Dynamically Since 2001, the Testbed Has Had No SONET Components, OOO Switches at the Core Have Supported 24 Individually Addressable Lightpaths Among 4 Core Nodes Next - Integration of SONET-Less Optical Transport W/SONET Switching Through Various Research Projects, the Testbed has Been Extended to Sites Nationally and Internationally

15 OMNInet Key Themes and Issues A Key Goal Is Enhancing Service Layer Abstractions and Enabling Direct Manipulation of Core Optical Resources Major Improvements Over Centralized Control of Core Resources Via High Distributed Control Decentralization: Applications Can Directly Control Lightpaths Advanced Dynamic Lightpath Provisioning Based on Controllable, Deterministic Optical Networks Increased Integration Between Edge and Core Infrastructure Agile Solid State Components (e.g, CMOS-Based, PIC-Based) Availability of Cost-Effective Fiber and DWDM Equipment Provides for Highly Disruptive Price/Capability Ratios

16 Some Results Almost Lightpaths Had Minimal to No Packet Loss In a Number of Tests, Large Scale Data Streams Were Transported For Many Hours With No Packet Losses (Measured) Measured Performance of Various Provisioning Processes More Than 1000 Successful Lightpath Setup/Teardown Operations No Optical Component Failures - Several Electronic Component Failures Multiple Successful Demonstrations of Multiple New Service/Tech Capabilities including New Provider Services, New Internal Optical Transport Capabilities For Some Traffic, SONET/Routers Not Required (Would Have Been a Performance Barrier), for Some Traffic, Multi-Service Approach Exceptional Grid Application Results – Extremely High Performance Have Created and Successfully Demonstrated Multi Times a Basic Control/Management Plane Architectural Model, & Prototype Implementation Demonstrated Utility of Dynamic Lightpath Switching to High Perf. Applications Created “Optical Dynamic Intelligent Network” Service Layer Architecture Created Lightpath Control Protocol Demonstrated the Potential of Photonic Data Services, Wavelength SWng, L1 Sec Demonstrated that Many Emerging Technologies Are Ready for Production (e.g., GMPLS Can be a Basis for Production Services)

17 OptIPuter The OptIPuter Meets Precise Needs of Applications vs. Today’s Environments Centralized Management and Infrastructure Restrictions Compromised Applications The OptIPuter Enables Creation of Dynamic Distributed Virtual Computers Assumes Ubiquitous Lightpaths Resources Include Optical Networking Components: Dynamic Lightpaths Supported by Deterministic Next Generation Optical Networks For the OptIPuter, the “Network” is A Large Scale, Distributed System Bus and Distributed Control Architecture A“Backplane” Based on Dynamically Provisioned Datapaths The OptIPuter Addresses the Needs of Extremely Large Scale Sustained Data Flows Even Those Exhibiting Dynamic Unpredictable Behaviors New Architecture, Methods and New Technologies at All Levels – L1 – L7

18 AMROEBA-EA The AMROEBA-EA Project Was Established to Investigate the Potential for Conducting Data Intensive ENZO Simulations On a Large Scale, Distributed Infrastructure Based on Dynamic Lightpath Provisioning. This Project Is Investigating New Mechanisms That Allow ENZO Processes to Utilize Additional Resources, Including Those at Remote Locations World-Wide.

19 AMROEBA-EA and AMR-ENZO AMROEBA-EA: An Adaptive Mesh Refinement Optical Enzo Backplane Architecture Enabled Application AMR-ENZO is used for Computational Astrophysics Modeling AMR-ENZO Is Used To Create Many Types of Cosmological Structure Formation Simulations Originally Created By Greg Bryan Under Supervision of Michael Norman While at NCSA AMR-ENZO Has Been Parallelized Using the MPI Message-Passing Library AMR-ENZO and Can Run On Any Shared or Distributed Memory Parallel Supercomputer or Compute Cluster AMROEBA-EA: Shows How These Types of Applications Can Utilize Distributed Computational Resources And Lightpath Switching

20 Visualization Source Code: Mike Norman, UCSD



23 Overall Networking Plan Seattle Chicago San Diego (iGRID,UCSD) Dedicated Lightpaths NLR Pacific Wave CENIC PW/CENIC University of Amsterdam StarLight NetherLight 4 Dedicated Paths Route B NetherLight Dedicated Lightpaths San Diego (iGRID, UCSD) Seattle 4*1Gpbs Paths + One Control Channel

24 AMROEBA Network Topology L2SW L3 (GbE) L2SW iGRID Conference OME UvA VanGogh Grid Clusters iCAIR DOT Grid Clusters iGRID Demonstartion Control L2SW SURFNet/ University of Amsterdam StarLight L2SW Visualization


26 Summary Optical Services: Baseline + 5 Years 200520062007200820092010 New Services Abstractions Enhanced Direct Addressing WS Multidomain Announcements Multi New Services Enhanced ReachMultiple Sites National, Global Application Optical LP Integration Optical Grid Net And Instrument Services API-Op Extensions to Additional Edge Devices Extensions to Optical BPs Optical Edge Services Multiple Sites National, Global Access to Highly Distributed Control Plane Multi-Domain Distributed Control Access Multi Site Access to Services, National, Global Persistent Inter Domain Signaling National, Global Extension to Additional Net Elements Persistence: Common Facilities Deterministic Paths (App as Service) Close Integration w/ App Signaling Increased Attribute Parameters Increased Adjustment Parameters Performance Metrics and Methods Enhanced Recovery Restoration Dynamic Lightpath Allocation Multi-Domain Alloc of DLP Wavelength Conversion Extensions of DLP Peering E2E DLPLarge Scale Dist Virtual Optical Backplanes Dedicated Switched Lightpaths Enhanced via WDM Mux Demux Enhanced Granularity Increased Allocation Capacity Global Increased Allocation Capacity US Increased Allocation Capacity: Sites SONET-Less Optical Trans. Integration With SONET Optical SubChanneling E2E TransportNew Digital Frame Services New E2E Framed Services Multi-Service Layer Integration Integration with Optical Services Multi-Domain Integrated Servs Distributed Management Monitoring Techniques Analysis Techniques Wavelength Routing Selectable Wavelength Routing Multi-Domain Wavelength Routing Multi-layer Integration Multi-Services Integration Enhanced Recovery Restoration

27 Summary Optical Technologies: Baseline + 5 Years 200520062007200820092010 O-APIsO-API SignalingApp Specific APIs Variable APIsMultidomain Signaling E2E Signaling Distributed Control Systems, Multi-Domain Integration with Standard OADM Integration with ROADMs Enhanced Granularity Enhanced Addressibility Enhanced Edge Integration OOO Core Switches At Selected Core Sites At Selected Core, Edge Sites + Experimental Solid State OSWs Solid State OSW Deployment Solid State (PIC) At Core, Edge O-UNIsO-UNI v2O-UNI v3Enhanced O-UNI Signaling At Selected Core, Edge Sites Deployment At Key Sites Global Service Abstraction – GMPLS Integr. Additional Sig. Integration ODIN 2.0 Increased Transparency, LayerElimination Increas’d Integra. w/ ID/Obj.Dis ODIN3 Prototype Arch for App Specific Serv Abstraction Enhanced Architecture ODIN v 3.n SONET-Less Transport New Types of Digital Framing Metro Core Framing Architecture LH Framing Architecture Integration With PICs Integration with BPs New Id, Object and Discovery Mechanisms Integration of New Id, Obj, Dis w/ New Arch. Integration With Multiple Integrated Serv. Integration w/New Management Sys Extensions to various TE Functions Persistent at Core, Edge Facilities DWDM CWDM Integration with Edge Optics Integration with BP Optics Additional MUX/DMUX Increased Stream Granularity 2D MEMs3D LP SwitchesExperimental Opt Packet SWs Prototype Deployed OPSW NanoPhotonic Devices At Edge and Core Sites

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