• Network Level Monitoring and Management,
  
• Cyber Security: Network Intrusion Detection,
  
• Enterprise Monitoring and Management,
• Modeling and Simulation of Collaborative Business Processes,
• Business Policy Monitoring, and
• Analysis and Debugging of Distributed Systems.

In each of the CEP application examples above, the amount of event information available to software developers can be staggering; however, despite all the available information, the capability to sense-and-respond to threats and opportunities is crude, at best.

Folks who work in network and security management, for example, are bombarded with event information.  However, this deluge of event information is, for the most part, “noise” that is difficult to understand.   In network management one of the most difficult things to accomplish is to find the root cause of an outage or performance problem.   This is why researchers at Stanford were funded to focused on research topics such as (above), the Analysis and Debugging of Distributed Systems.

These are the classes of asymmetric event processing problems that define complex event processing, or CEP.   Processing events by mediating events, routing events, or running a rule-set against events and making a processing decision are all perfectly valid event processing applications.   However, the core reason to have “complex event processing” is to solve event processing problems where there exists a significant asymmetry between the deluge of “event noise”  (Professor Luckham called this phenomena the “event cloud”) and detecting business-relevant, actionable complex events in an climate of uncertainty and noise.

In my next post on this topic I will briefly the review motivation behind my 1999 ACM paper, Intrusion Detection Systems and Multisensor Data Fusion, where we were working on solving complex distributed security challenges based on real-world experiences with the problems of asymmetric processing capabiilities.  I will discuss why we evolved from an early rule-based expert system model to a more advanced inference model that was not dependent solely on rule-based thinking.   I will also explain why other researchers and developers experienced in complex event detection applications have come to the same conclusion.

Finding Zune-Fi: Ina Fried of News.com wanders the polite streets of San Francisco in search of Zune connections over Wi-Fi. She finds a few, and has a good experience. One cafe owner sees the ease with which she can stream music and calls it cool. She can't connect at the long-running Google-sponsored free Wi-Fi at Union Square, however, which means the Wi-Fi likely has an accept button that must be pressed. Surely Microsoft could insert a little technology that would allow a browser-free acceptance of terms? Probably involves Yet Another Protocol: the Wi-Fi Terms Browser-Free Presentation Protocol (WTBFPP).

Kodak adds interesting Wi-Fi enabled all-in-one: The new Kodak ESP 9 is a multi-function printer (fax, scan, print, copy) that connects to a network via Wi-Fi or Ethernet. The $300 device spits out 30 pages per minutes in color, 32 ppm in black only. Kodak claims that the model line to which the ESP belongs uses ink in a vastly more efficient manner than the "average of comparable consumer inkjet printers."