77:. An event-driven system typically consists of event emitters (or agents), event consumers (or sinks), and event channels. Emitters have the responsibility to detect, gather, and transfer events. An Event Emitter does not know the consumers of the event, it does not even know if a consumer exists, and in case it exists, it does not know how the event is used or further processed. Sinks have the responsibility of applying a reaction as soon as an event is presented. The reaction might or might not be completely provided by the sink itself. For instance, the sink might just have the responsibility to filter, transform and forward the event to another component or it might provide a self-contained reaction to such an event. Event channels are conduits in which events are transmitted from event emitters to event consumers. The knowledge of the correct distribution of events is exclusively present within the event channel. The physical implementation of event channels can be based on traditional components such as
238:(CEP) allows patterns of simple and ordinary events to be considered to infer that a complex event has occurred. Complex event processing evaluates a confluence of events and then takes action. The events (notable or ordinary) may cross event types and occur over a long period of time. The event correlation may be causal, temporal, or spatial. CEP requires the employment of sophisticated event interpreters, event pattern definition and matching, and correlation techniques. CEP is commonly used to detect and respond to business anomalies, threats, and opportunities.
50:". For example, when a consumer purchases a car, the car's state changes from "for sale" to "sold". A car dealer's system architecture may treat this state change as an event whose occurrence can be made known to other applications within the architecture. From a formal perspective, what is produced, published, propagated, detected or consumed is a (typically asynchronous) message called the event notification, and not the event itself, which is the state change that triggered the message emission. Events do not travel, they just occur. However, the term
249:(OLEP) uses asynchronous distributed event logs to process complex events and manage persistent data. OLEP allows reliably composing related events of a complex scenario across heterogeneous systems. It thereby enables very flexible distribution patterns with high scalability and offers strong consistency. However, it cannot guarantee upper bounds on processing time.
221:(ESP), both ordinary and notable events happen. Ordinary events (orders, RFID transmissions) are screened for notability and streamed to information subscribers. Event stream processing is commonly used to drive the real-time flow of information in and around the enterprise, which enables in-time decision making.
163:
This is the second logical layer. An event channel is a mechanism of propagating the information collected from an event generator to the event engine or sink. This could be a TCP/IP connection, or any type of an input file (flat, XML format, e-mail, etc.). Several event channels can be opened at the
198:
Simple event processing concerns events that are directly related to specific, measurable changes of condition. In simple event processing, a notable event happens which initiates downstream action(s). Simple event processing is commonly used to drive the real-time flow of work, thereby reducing lag
181:
This is the logical layer where the consequences of the event are shown. This can be done in many different ways and forms; e.g., an email is sent to someone and an application may display some kind of warning on the screen. Depending on the level of automation provided by the sink (event processing
92:
models and makes them more resilient to failure. This is because application state can be copied across multiple parallel snapshots for high-availability. New events can be initiated anywhere, but more importantly propagate across the network of data stores updating each as they arrive. Adding extra
297:
API is based on an event-driven architecture. This works particularly well with the motivation behind Swing to provide user interface related components and functionality. The API uses a nomenclature convention (e.g. "ActionListener" and "ActionEvent") to relate and organize event concerns. A class
132:
An event can be made of two parts, the event header and the event body. The event header might include information such as event name, time stamp for the event, and type of event. The event body provides the details of the state change detected. An event body should not be confused with the pattern
1388:
language. The uni-cast model (one-to-one) is used here, i.e. the sender sends information to only one recipient. This limitation has the advantage that it does not need a special event listener. The event itself is a pointer to a method in another object. If the pointer is not empty, when an event
267:
event schema and values. The high degree of semantic heterogeneity of events in large and open deployments such as smart cities and the sensor web makes it difficult to develop and maintain event-based systems. In order to address semantic coupling within event-based systems the use of approximate
172:
The event processing engine is the logical layer responsible for identifying an event, and then selecting and executing the appropriate reaction. It can also trigger a number of assertions. For example, if the event that comes into the event processing engine is a product ID low in stock, this may
266:
Event-driven architectures have loose coupling within space, time and synchronization, providing a scalable infrastructure for information exchange and distributed workflows. However, event-architectures are tightly coupled, via event subscriptions and patterns, to the semantics of the underlying
123:
Event driven architecture has two primary topologies: “broker topology” wherein components broadcast events to the entire system without any orchestrator. It provides the highest performance and scalability. Whereas in “mediator topology” there is a central orchestrator which controls workflow of
141:
An event driven architecture may be built on four logical layers, starting with the sensing of an event (i.e., a significant temporal state or fact), proceeding to the creation of its technical representation in the form of an event structure and ending with a non-empty set of reactions to that
154:
Converting the data collected from such a diverse set of data sources to a single standardized form of data for evaluation is a significant task in the design and implementation of this first logical layer. However, considering that an event is a strongly declarative frame, any informational
257:
An event-driven architecture is extremely loosely coupled and well distributed. The great distribution of this architecture exists because an event can be almost anything and exist almost anywhere. The architecture is extremely loosely coupled because the event itself doesn't know about the
202:
For example, simple events can be created by a sensor detecting changes in tire pressures or ambient temperature. The car's tire incorrect pressure will generate a simple event from the sensor that will trigger a yellow light advising the driver about the state of a tire.
150:
The first logical layer is the event producer, which senses a fact and represents that fact as an event message. As an example, an event producer could be an email client, an E-commerce system, a monitoring agent or some type of physical sensor.
258:
consequences of its cause. e.g. If we have an alarm system that records information when the front door opens, the door itself doesn't know that the alarm system will add information when the door opens, just that the door has been opened.
164:
same time. Usually, because the event processing engine has to process them in near real time, the event channels will be read asynchronously. The events are stored in a queue, waiting to be processed later by the event processing engine.
114:
pattern triggers further autonomous human or automated processing that adds exponential value to the enterprise by injecting value-added information into the recognized pattern which could not have been achieved previously.
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298:
which needs to be aware of a particular event simply implements the appropriate listener, overrides the inherited methods, and is then added to the object that fires the event. A very simple example could be:
1389:
occurs, the event handler is called. Events are commonly used in classes that support GUI. This is not the only area of application for events, however. The following code is an example of using events:
110:
evolves the implications SOA and EDA architectures provide to a richer, more robust level by leveraging previously unknown causal relationships to form a new event pattern. This new
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2818:
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190:
There are three general styles of event processing: simple, stream, and complex. The three styles are often used together in a mature event-driven architecture.
2808:
100:(SOA) because services can be activated by triggers fired on incoming events. This paradigm is particularly useful whenever the sink does not provide any
62:, where such communication pattern requires one of the inputs to be text-only, the message, to differentiate how each communication should be handled.
58:
to denote the notification message itself, which may lead to some confusion. This is due to Event-driven architectures often being designed atop
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124:
events. It provides better control and error handling capabilities. You can also use a hybrid model and combine these two topologies.
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nodes becomes trivial as well: you can simply take a copy of the application state, feed it a stream of events and run with it.
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2759:
In 6th ACM International
Conference on Distributed Event-Based Systems (DEBS 2012), 252–263. Berlin, Germany: ACM.
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may be applied by the design and implementation of applications and systems that transmit events among
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operations can be easily applied, thus eliminating the need for a high level of standardization.
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Building systems around an event-driven architecture simplifies horizontal scalability in
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Alternatively, another implementation choice is to add the listener to the object as an
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or the logic that may be applied in reaction to the occurrence of the event itself.
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2581:
K. Mani Chandy Event-driven
Applications: Costs, Benefits and Design Approaches,
2789:
5th
Anniversary Edition: Event-Driven Architecture Overview, Brenda M. Michelson
1610:// a method that generates an event based on a definition from the VCL library
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55:
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and thus use the lambda notation (since Java 1.8). Below is an example.
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or point-to-point communication which might require a more appropriate
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trigger reactions such as “Order product ID” and “Notify personnel”.
1598:// a method that generates an event based on your own definition
2777:
Event-Driven
Applications: Costs, Benefits and Design Approaches
2352:{declaring a variable that is an object of the specified class}
2677:
Fundamentals of
Software Architecture: An Engineering Approach
2794:
Complex Event
Processing and Service Oriented Architecture
2718:
2549:
Real-world example of business events flowing in an SOA:
2757:“Approximate Semantic Matching of Heterogeneous Events.”
2755:
Hasan, Souleiman, Sean O’Riain, and Edward Curry. 2012.
1559:// a method that sets the value of a field in the class
2322:'The data has exceeded 1000000! New value is: '
182:
engine) the downstream activity might not be required.
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Article defining the differences between EDA and SOA:
1772:// a method that uses its own definition of the event
2650:"Event-driven architecture poised for wide adoption"
2561:
Analytics for hackers, how to think about event data
30:
paradigm concerning the production and detection of
1384:Events are one of the fundamental elements of the
2451:{removing an object when it is no longer needed}
1532:// event - reference to a method in some object
1517:// event - reference to a method in some object
2558:Article describing the concept of event data:
8:
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2543:How EDA extends SOA and why it is important
253:Extreme loose coupling and well distributed
46:can be defined as "a significant change in
2176:The created class can be used as follows:
1502:// an example of a simple field in a class
725:'The listener must be a function'
271:of events is an active area of research.
96:Event-driven architecture can complement
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1742:// exposing the event outside the class
1712:// exposing the event outside the class
1682:// declaration of a property in a class
262:Semantic Coupling and further research
2819:Service-oriented (business computing)
2733:"Online Event Processing - ACM Queue"
7:
572:"Button has been clicked!"
453:"Button has been clicked!"
2552:SOA, EDA, and CEP - a winning combo
71:loosely coupled software components
2809:Enterprise application integration
2583:California Institute of Technology
2564:by Michelle Wetzler. (Web archive)
2513:Event Processing Technical Society
2397:{assigning a methods to an events}
14:
2621:Hanson, Jeff (January 31, 2005).
83:transactional executive framework
2518:Staged event-driven architecture
2483:Process Driven Messaging Service
177:Downstream event-driven activity
2529:Autonomous peripheral operation
2623:"Event-driven services in SOA"
1418:{definition of your own event}
1:
2648:Sliwa, Carol (May 12, 2003).
2488:Service-oriented architecture
98:service-oriented architecture
275:Implementations and examples
60:message-driven architectures
2238:'Data has changed.'
79:message-oriented middleware
16:Software architecture model
2840:
1377:
283:
228:
210:
1329:// Prints "foo"
20:Event-driven architecture
2503:Complex event processing
2498:Space-based architecture
2478:Event-driven programming
2373:{creation of the object}
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1391:
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608:
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236:Complex event processing
231:Complex event processing
225:Complex event processing
102:self-contained executive
2508:Event stream processing
247:Online event processing
242:Online event processing
219:event stream processing
213:Event stream processing
207:Event stream processing
194:Simple event processing
186:Event processing styles
168:Event processing engine
2720:Patricia Seybold Group
1368:// Nothing will happen
2814:Software architecture
1631:// class constructor
530:"Click Me!"
363:"Click Me!"
112:business intelligence
90:distributed computing
67:architectural pattern
28:software architecture
620:'use strict'
1649:// class destructor
2824:Events (computing)
2782:2013-10-23 at the
2722:, February 2, 2006
2679:. O'Reilly Media.
704:'function'
2546:by Jack van Hoof.
542:addActionListener
375:addActionListener
269:semantic matching
137:Event flow layers
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2609:Parallel Model
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635:constructor
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2742:2019-05-30
2661:2020-07-21
2634:2020-07-21
2569:References
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2012:MultiplyBy
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1634:destructor
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605:JavaScript
318:implements
280:Java Swing
119:Topologies
2628:JavaWorld
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2424:LMyObject
2400:LMyObject
2376:LMyObject
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2003:procedure
1982:FOnChange
1973:FOnChange
1946:procedure
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1850:inherited
1745:procedure
1736:FOnChange
1730:FOnChange
1652:published
1601:procedure
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1562:protected
1535:procedure
1520:FOnChange
1427:procedure
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1139:listeners
1103:listeners
1040:listeners
1031:listeners
995:listeners
938:arguments
893:arguments
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