Moteur CEP

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Fawaz Fernand PARAISO

Presentaion about Complex Event Processing (CEP).

1
Complex Event Processing
Fawaz PARAÏSO

2
Agenda
● Introduction
● What is CEP ?
● CEP with Canopsis

3
An event is a piece of data that represents that
something happened in the real world, or in
software system.
e.g UserClick, ServiceFailure, BellsRinging
Event

4
Complex Event
An event that could only happen when lots of
other events happen.
e.g Wedding is happen, etc.

5
What is CEP ?
Complex Event Processing (CEP) is a set of
techniques and tools to help understand and
control event-driven Information System.

6
What is CEP ?
Event
producers
Event
consumers
Producer 0
Producer 1
Producer 2
Producer 3
Consumer 0
Consumer 1
Consumer 2
source
source
source
source
sink
sink
sink
CEP
Engine
Filter, transform, enrich, aggregate,
Detect patterns, derive event, route

7
CEP characteristics
Pattern detection
Routing
Enrichment
Splitting
Matching
Transformation
Correlation
Time window

8
Filter event (Window)
Incoming
Events
time
New
Events
Old
Events
E1(KO)
E2(OK)
E3(ACK)
Filter
State=KO
E4(KO)
E1
E1
E1
E1 E4
E1
E4
X
X
Length Window = 2 events

9
Processing Models
● Batch processing
● (Event-) Stream processing
● Micro-batching

10
CEP with canopsis
● Fast memory processing of events (filtering,
grouping and aggregating)
● Real time analysis
● Better scaling of the infrastruture
● Flexibility to use query language to monitor
new service

11
State of The Art

12
Thanks !

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Result Management System Report for College Project The Result Management System is a crucial tool for educational institutions to efficiently manage and publish student results online. This project was developed as part of the 6th semester project for Pokhara University, with the aim of providing a user-friendly platform for students, faculty, and administrators to access and manage academic results. The system allows for easy input of student grades, calculation of final results, and generation of result reports. It also provides secure access to results for students through a login system, ensuring data privacy and confidentiality. To improve and increase the effectiveness of the Result Management System, several enhancements can be implemented. These include: 1. Integration of automated result processing algorithms to reduce manual data entry and calculation errors. 2. Implementation of a notification system to alert students and faculty when results are published or updated. 3. Addition of features such as result analysis tools, graphical representations of student performance, and trend analysis. 4. Enhancing the user interface to make it more intuitive and user-friendly for all stakeholders. 5. Incorporating a feedback mechanism to gather suggestions and improve the system based on user input. By incorporating these enhancements, the Result Management System can become a more robust and efficient tool for managing academic results online, benefiting both students and faculty alike.

result management system report for college project

result management system report for college project

result management system report for college project

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Java Programming :Event Handling(Types of Events)

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African Journal of Biological Sciences is an International peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of Biological Sciences. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. For more information on Article Processing charges click here. Its scope embraces Animal Sciences, Biochemistry, Bioinformatics, Biotechnology, Botany, Cell Biology, Developmental Biology, Ecology, Environmental Sciences, Ethno Medicine, Food Science, Freshwater Biology, Genetics, Immunology, Marine Biology, Microbiology, Molecular Biology, Physiology, Plant Sciences, Structural Biology,Toxicology,Zoology etc. It is essential that authors prepare their manuscripts according to established specifications. Failure to follow them may result in papers being delayed or rejected. Therefore, contributors are strongly encouraged to read the author guidelines carefully before preparing a manuscript for submission. The manuscripts should be checked carefully for grammatical, punctuation errors. All papers are subjected to peer review. All articles published in this journal represent the opinion of the authors and not reflect the official policy of the Journal of African Journal of Biological Sciences

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Data security is rapidly gaining importance as the volume of data companies collect, analyze and monetize grows exponentially. New data processing tools and platforms are emerging at an increasing rate, as are the ways in which an organization consumes data. In this presentation Mukund Sarma and Feni Chawla talk about the unique technical and cultural challenges of running a data security program and share some practical solutions that have worked well at our company. These slides were presented at the BSides Seattle 2024 conference.

BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx

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Moteur CEP

1. 1 Complex Event Processing Fawaz PARAÏSO

2. 2 Agenda ● Introduction ● What is CEP ? ● CEP with Canopsis

3. 3 An event is a piece of data that represents that something happened in the real world, or in software system. e.g UserClick, ServiceFailure, BellsRinging Event

4. 4 Complex Event An event that could only happen when lots of other events happen. e.g Wedding is happen, etc.

5. 5 What is CEP ? Complex Event Processing (CEP) is a set of techniques and tools to help understand and control event-driven Information System.

6. 6 What is CEP ? Event producers Event consumers Producer 0 Producer 1 Producer 2 Producer 3 Consumer 0 Consumer 1 Consumer 2 source source source source sink sink sink CEP Engine Filter, transform, enrich, aggregate, Detect patterns, derive event, route

7. 7 CEP characteristics Pattern detection Routing Enrichment Splitting Matching Transformation Correlation Time window

8. 8 Filter event (Window) Incoming Events time New Events Old Events E1(KO) E2(OK) E3(ACK) Filter State=KO E4(KO) E1 E1 E1 E1 E4 E1 E4 X X Length Window = 2 events

9. 9 Processing Models ● Batch processing ● (Event-) Stream processing ● Micro-batching

10. 10 CEP with canopsis ● Fast memory processing of events (filtering, grouping and aggregating) ● Real time analysis ● Better scaling of the infrastruture ● Flexibility to use query language to monitor new service

11. 11 State of The Art

12. 12 Thanks !