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EDA Symposium 14-16 March 2006 Draft IBM Research Gartner Stanford University. Event Processing in Complex Real-Time Applications Break Out Group. Panellist. Noah Ed Loy - Brigadier General (Ret) USAF (MITRE) Josh Collens - MITRE Corp Roger Loeb - MarTech Group Elan Oren - LeanWay

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eda symposium 14 16 march 2006 draft ibm research gartner stanford university
EDA Symposium

14-16 March 2006

Draft

IBM Research

Gartner

Stanford University

Event Processing in Complex Real-Time Applications Break Out Group
panellist
Panellist

Noah Ed Loy - Brigadier General (Ret) USAF (MITRE)

Josh Collens - MITRE Corp

Roger Loeb - MarTech Group

Elan Oren - LeanWay

Ronen Perlmuter - LeanWay

application s types
Application's Types
  • DoD Command and Control
  • Telecom
  • Finance
what is real time
What is Real-time?
  • Is a property:
    • Guaranteed deterministic completion of an operation
  • Is not necessarily:
    • Fast (low latency)
    • But often appears in conjunction with latency requirements.
  • The key is recognizing that the deadline is guaranteed.
    • And if not achieved, requires some other action be taken, some exception be raised
value of using rt event processing
Value of Using RT Event Processing
  • In specific Domain Spaces i.e. DoD can not meet 2010 Mission Requirements without RT CEP
  • Address the latency Gap
  • Become more proactive to predict future events
  • Modelling based on historical data and current understanding of event cloud to predict near term outcomes with updating for continuous learning
  • Real-time is relative term depending on required predicted outcome
  • Extract to higher levels of abstraction for inference
problem space
Problem Space
  • Inability to manage Latency and Determinism
  • Lack of tools
  • Large Data ingest
  • High message traffic
  • Large Legacy Domain
  • Lack of temporal interlock
  • Complexity or perception
  • Ability to abstract
  • Domains for determinism is a relative term
  • Reactive versus proactive
  • Take RT Event and compare against massive amount of history
  • Simple patterns
  • Making incremental change based on incremental pieces of data
  • Must think of the problem at different levels of the stack (Vertical versus Horizontal)
examining the layers
Examining the Layers

Human

Model

Optimization

Events

Persistent

Queries

  • Simple Patterns
  • SQL
  • XPath
  • Filters

Real-time data

Peta-Bytes

(History)

market drivers motivators challenges and entry points
Market Drivers, Motivators, Challenges and Entry Points
  • Drivers
    • Predictability
    • Adaptability
    • Dynamic
    • Latency and Determinism management
  • Motivators
    • Tactical as well as strategic information advantage
    • Get inside competitive decision loop
  • Challenges
    • Legacy Integration
    • Cost
    • Complexity
  • Entry Points
    • Start small
market segment real time event processing
Market Segment : Real-Time Event Processing
  • Federal (DoD, DHS, Intelligence)
  • Financial
  • Industrial Automation
  • Gaming
  • Health Care
where do we go from here
Where do we go from Here ?
  • Better understanding of respective Domain space requirements and constraints
  • Standards
  • Tools
    • Modelling
    • Development
    • Trace and Monitoring