Using events to build distributed applications

Bacon, Jean; Bates, John A.; Hayton, Richard; Moody, Ken

doi:10.1109/sdne.1995.470451

Cited by 30 publications

(25 citation statements)

References 4 publications

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“…Carson [22] compared a number of methods that have been used to formally specify event patterns: regular expressions [54], finite state automata [14,119,95], modal or temporal logic [98,71], and operator-based event algebras [29,88,122,58,64,115,22,5]. Operator-based event algebras build complex event patterns by (recursively) combining primitive events and composition operators.…”

Section: Semantics Of Event Composition Languagesmentioning

confidence: 99%

EVA: An event algebra supporting complex event specification

Hinze

Voisard

2015

Information Systems

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Section: Semantics Of Event Composition Languagesmentioning

confidence: 99%

EVA: An event algebra supporting complex event specification

Hinze

Voisard

2015

Information Systems

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“…The client applications may be separate processes running on the same host computer (node) or on separate nodes of potentially incompatible platforms. This allows a developer to choose the most appropriate tools available allowing for rapid development [5][6][7]. In summary, the SEE provides the following services: There are many hardware devices in hospital network that are standalone.…”

Section: Introductionmentioning

confidence: 99%

SEE: Improving Nurse-Patient Communications and Preventing Software Piracy in Nurse Call Applications

Unluturk

2011

J Med Syst

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Nurse call system is an electrically functioning system by which patients can call upon from a bedside station or from a duty station. An intermittent tone shall be heard and a corridor lamp located outside the room starts blinking with a slow or a faster rate depending on the call origination. It is essential to alert nurses on time so that they can offer care and comfort without any delay. There are currently many devices available for a nurse call system to improve communication between nurses and patients such as pagers, RFID (radio frequency identification) badges, wireless phones and so on. To integrate all these devices into an existing nurse call system and make they communicate with each other, we propose software client applications called bridges in this paper. We also propose a window server application called SEE (Supervised Event Executive) that delivers messages among these devices. A single hardware dongle is utilized for authentication and copy protection for SEE. Protecting SEE with securities provided by dongle only is a weak defense against hackers. In this paper, we develop some defense patterns for hackers such as calculating checksums in runtime, making calls to dongle from multiple places in code and handling errors properly by logging them into database.

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“…Producing entities generate events of some type, which are then delivered to the subscribed entities. The Cambridge event model (CEM) [30] is based on an implicit event model.…”

Section: Event Model Dimensionmentioning

confidence: 99%

Taxonomy of distributed event-based programming systems

Meier

Cahill

Proceedings 22nd International Conference on Distributed Computing Systems Workshops

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As event-based middleware is currently being applied for application component integration in a range of application domains, a variety of event services have been proposed to address different application requirements. This paper presents a survey of existing event systems structured as a taxonomy of distributed event-based programming systems. A taxonomy is a classification that allows different examples of some generic type to be systematically arranged in groups or categorised according to established criteria. The taxonomy presented in this paper is structured as a hierarchy of the properties of a distributed eventbased programming system and may be used as a framework to describe a distributed event-based programming system according to its properties. Our taxonomy identifies a set of fundamental properties of event-based programming systems and categorises them according to the event model and event service criteria. The event service is further classified according to its organisation and interaction model, as well as other functional and non-functional features. The event-based communication model is particularly useful in centralised and distributed applications that require one or more application components to react to a change in the state of another application component as it provides a one-to-many or many-to-many communication pattern [6][7][8][9]. Event-based communication is essentially asynchronous [10], [11] which results in a less tightly coupled communication relationship between application components compared to the traditional request/response communication model. Since it features anonymity, it is well suited for applications consisting of a possibly large number of anonymously interacting components, without having to rely on centralised control. Such communities of cooperating components are exploited in distributed systems where independent application components establish communication relationships dynamically over time in an unpredictable fashion. Index TermsEvent-based middleware is currently being applied for application component integration in many application domains including finance, telecommunications, smart environments, multimedia, avionics, health care, and entertainment [1,2,[12][13][14][15][16][17][18][19]. Moreover, with the widespread deployment and use of wireless technology, where communication relationships amongst heterogeneous application components [10] are established very dynamically during the lifetime of the components, event-based middleware will become even more prevalent as it addresses important application requirements of the wireless and hence mobile computing domain, including avoidance of long-lasting and hence potentially expensive connections, hiding of communication latency due to decoupled interaction phases, omission of centralised control, and heterogeneity. Both mobility and wireless networking represent key enabling technologies underlying the vision of ubiquitous computing, where interconnected computers will be embedded in a wide...

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Using events to build distributed applications

Cited by 30 publications

References 4 publications

EVA: An event algebra supporting complex event specification

EVA: An event algebra supporting complex event specification

SEE: Improving Nurse-Patient Communications and Preventing Software Piracy in Nurse Call Applications

Taxonomy of distributed event-based programming systems

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