real-time - Ayhan KARGIN

Report
Complex Event Processing
(CEP)
Ayhan KARGIN @
Agenda
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What is CEP?
Types
Why needed?
Usage Areas
TTNET’s Perspective
Products
What is CEP?
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Event processing is a method of tracking and analyzing
(processing) streams of information (data) about things that
happen (events), and deriving a conclusion from them.
Complex event processing, or CEP, is event processing that
combines data from multiple sources to infer events or
patterns that suggest more complicated circumstances.
The goal of complex event processing is to identify
meaningful events (such as opportunities or threats) and
respond to them as quickly as possible.
CEP as a technique helps discover complex events by
analyzing and correlating other events.
•Analyze stream of events or multiple streams of
events in real-time
•Recognize particular sequences or patterns
across the streams
•Infer a business significant event from the
correlated events
Types
Most CEP solutions and concepts can be classified into two
main categories:
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Computation-oriented CEP
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Detection-oriented CEP
A computation-oriented CEP solution is focused on executing
on-line algorithms as a response to event data entering the
system. A simple example is to continuously calculate an
average based in data on the inbound events.
Detection-oriented CEP is focused on detecting combinations
of events called events patterns or situations. A simple
example of detecting a situation is to look for a specific
sequence of events.
Why Needed?
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Revenue
Operational Excellence
Competition
Customer Satisfaction
Reduced Response Time (Near Real Time)
Suggestions and Offers are made at a reasonable
time and place to provide a better service.
Faster, effective and focused service.
Value of Action decreases by Time
Usage Areas
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Adaptive Marketing
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Telco
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Track Packages against a “Plan”. Infer package delays in a proactive
manner. Alert customers.
Shipping by RFID.
Government
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Fraud Detection (Security Monitoring)
Track and Trace Trades/Deals/Settlements
Business Activity Monitoring, Risk Management
Algorithmic Stock-Trading
Logistics - Track & Trace
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SLA (Service Assurance)
Real Time Service Offers and Analytics
Finance
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Pattern: Capture opportunity with customer while ‘the window is open’.
Track and Analyze ‘patterns’ that were otherwise very difficult to
detect
Dynamic Resource Scheduling
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Real Time Optimization of Resources against a “Plan”. (Plane)
Usage Areas
İnternet arama motorunda "borç", "portföy" ve "hisse
senetleri" gibi terimler daha az arandığında, Dow Jones
endeksinde yükselme eğilimi görüldüğü belirtiliyor. Bu
terimler daha çok aranıyorsa, hisse senedi endeksinde
düşme bekleniyor. 2004 ve 2011 arasında bu yönteme
dayalı yatırım stratejisi izlenerek, % 326 kâr elde
edilebileceği hesaplandı. Bu strateji izlendiğinde % 326
oranında kâr elde edilebileceği sonucuna ulaşıldı. En basit
stratejiyle, 2004'te hisse satın alınıp 2011'de satılmış olsa,
kâr oranı sadece % 16 olacaktı. Warwick Üniversitesi'nden
Tabias Preis, aramalardaki yükselişle piyasalardaki düşüş
arasındaki bağlantının, 'kayıptan kaçınma' olgusunu
gösterdiğini söylüyor; "İnsanlar sahip oldukları bir şeyi
satarken, yeni bir şey satın alırken olduğundan daha çok
korkar." diyor.
Google's self-driving car gathers 750
megabytes of sensor data per
SECOND!
Google Self Driving Car
Usage Areas
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Boeing 787s to create half a terabyte of data per flight.
(Last week Big data presentation)
Turkcell makes offers and suggestions by GPS location of
customers.
If a customer call abroad 3 times in 15 minutes an abroad
package suggested to customer for satisfaction
TTNET's Perspective
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When a limited package customer exceed limit an unlimited
package can be offered by call center.
Stock suggestions can be done by categorizing web sites and visit
statistics.
Offers can be done to wifi users by time and place factors.
(Example: discount for customers who use Starbucks wifi access
points.)
…
Products
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Oracle Complex Event Processing (OEP)
Oracle Event Processing (OEP) is a complete solution for building
applications to filter, correlate and process events in real-time
so that downstream applications, service oriented architectures
and event-driven architectures are driven by true, real-time
intelligence. (Continuous Query Language, CQL)
ESPER (Open Source)
Esper is a component for complex event processing, available for
Java as Esper, and for .NET as Esper. Esper and NEsper enable
rapid development of applications that process large volumes of
incoming messages or events. Esper and NEsper enable filter and
analyze events in various ways, and respond to conditions of
interest in real-time. (Event Query Language, EQL)
Products
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Microsoft StreamInsight
Microsoft StreamInsight is a powerful platform that you can use
to develop and deploy complex event processing (CEP)
applications. Its high-throughput stream processing architecture
and the Microsoft .NET Framework-based development platform
enable you to quickly implement robust and highly efficient event
processing applications.
Tibco StreamBase
The StreamBase Complex Event Processing platform is a highperformance system for rapidly building applications that
analyze and act on real-time streaming data. With StreamBase,
organizations rapidly build real-time systems in record time and
are deployed at a fraction of the cost and risk of alternatives.
Products
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Informatica RulePoint
Deliver Proactive Monitoring and Operational Intelligence by
real-time alerts and insight into pertinent information, enabling
you to operate smarter, faster, more efficiently, and more
competitively.
Ibm Websphere Business Events
It is a fully-integrated technology platform delivering functionality
for the design, running and monitoring of complex business
processes.
Oracle Event Processing Example
Oracle Event Processing Example
Teşekkürler

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