Transcript The California Institute for Telecommunications and

l-Grids and the OptIPuter
Software Architecture
Andrew A. Chien
Director, Center for Networked Systems
SAIC Chair Professor, Computer Science and Engineering
University of California, San Diego
Supernetworking Panel
SC2003
Phoenix, Arizona
November 19, 2003
Optical Networking Enables
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High Bandwidth
Dedicated Connections
Isolation
Connection Setup And Teardown
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So, How Does an Application Use all this Stuff?
Exploiting l’s for an Application
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Network View: Ad Hoc connections
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System View: Enclave of Resources and Connections
– Applications Request l-Connections
– Network Recognizes High BW flows and Configures
– a Distributed Virtual Computer (a SYSTEM)
– How to Specify, Implement, and Exploit?
OptIPuter Links Three Major Sets of
Technology Activities
• Distributed Virtual Computers
– Provide a Simple Abstractions
– Aggregate Component Technology Capabilities
– Surface Novel Capabilities
• High speed Transport Protocols
– Long Thread of High Bandwidth-Delay Product Network Protocols
– Span The Range “Reach” for Dedicated Optical Connections
• Optical Network Signaling and Management
– Single Domain and Inter-Domain
– Hybrid Circuit and Packet-Switched Networks
– Planning and Execution
OptIPuter LambdaGrid Software Architecture for
Distributed Virtual Computers v1.1
OptIPuter Applications
Middleware
Visualization
DVC #1
Higher Level
Grid Services
DVC #2
Security
Models
DVC #3
Data Services: Real-Time Layer 5: SABUL, RBUDP,
DWTP
Objects
Fast, GTP
Protocols
Grid and Web Middleware – (Globus/OGSA/WebServices/J2EE)
Layer 4: XCP
Network
Config/Mgmt l-configuration, Net Management
Node Operating Systems
Physical Resources
Distributed Virtual Computer
Distributed
Virtual
Computer
(DVC)
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Distributed Virtual Computer (DVC)
– Formed On-demand (use Globus mechanisms)
– Dynamic Configuration Of l-network and End Resource Binding
– Simplifies Management, Enables Properties
– Centralized Resource Control, Security Relations and Operations
– Controllable Performance for Distributed Resources (Real-time, QoS)
DVC Examples
SDSC
UCI or UIC
UCSD CSE
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SIO/NCMIR
Virtual Cluster (Hide Complexity of Grid; Resource Flexibility)
– Shared Single Domain (Spans Multiple)
– Simple Network Naming; Resource Discovery and Access
– Private Connections; Simple Performance Characteristics
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Real-Time Virtual Cluster for Distributed Collaborative Visualization
– Grid Resources + Real-time Network + Real-Time Runtime (TMO)
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Collaborative Visualization Cluster
– Grid Resources + Unique Displays
– Unique Communication Abstractions: Photonic Multicast or LambdaRAM
Realizing Distributed Virtual Computers
• Research Challenges
– Application-driven Definition of Abstractions
– Useful Collections which Match Application Paradigms and Needs
– Incorporates New Collective Models
– DVC Description
– Namespaces, Communication, Performance, Real-Time, …
– Standard Specifications; Most Applications Parameterize
– Integration Of Component Technologies
• Executing the DVC on a Grid
– Planner That Identifies Resources
– Selects from Virtual Grid Resources
– Negotiates with Resource Managers and Brokers
– Executor and Monitor for DVC
– Acquires and Configures
– Monitors for Failures and Performance
– Adapts and Reconfigures
Summary
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l’s Novel Capabilities are an Opportunity
– High Bandwidth, End to End Pipes, Private Connections
– Simpler model than a shared, best-effort network
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l’s Novel Capabilities are a challenge
– How to manage? How to Fill?
– How to Present simply?
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OptIPuter Software Research Spans Network Management, Protocols,
Middeware, and Visualization
OptIPuter Software Architecture Integrates These Disparate Technologies
Into a Simple Model for Applications: “Distributed Virtual Computers”
DVC’s Enable
– Transparent use of Optical Network Capabilities
– Exploitation of Many of their Advantages