Using events to build large scale distributed applications

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

doi:10.1145/504450.504453

Cited by 19 publications

(5 citation statements)

References 2 publications

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“…Over the past two decades, many publish/subscribebased systems have been proposed for both essentially static environments (e.g. CEA (Hayton et al, 1996), SCRIBE (Rowstron and Druschel, 2001) and SIENA (Carzaniga et al, 2000)) as well as for extremely dynamic mobile environments such as ad-hoc mobile networks (Pongthawornkamol et al, 2007;Costa et al 2008;Huang and Garcia-Molina, 2003;Baehni et al 2005;Haillot and Guidec, 2010;Paridel et al, 2010) which are of particular interest in this paper. As mentioned in the introduction, we distinguish those who propose solutions for the topic-based variant (Costa et al, 2008;Baehni et al, 2005) and those who propose solutions for the content-based variant (Pongthawornkamol et al, 2007;Haillot and Guidec, 2010).…”

Section: State Of the Artmentioning

confidence: 99%

SocialMANET: A Publish/Subscribe Events Dissemination Protocol for Mobile Ad-Hoc Networks

Tchendji

Tchembé

Necheu

2019

Journal of Computer Science

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Section: State Of the Artmentioning

confidence: 99%

SocialMANET: A Publish/Subscribe Events Dissemination Protocol for Mobile Ad-Hoc Networks

Tchendji

Tchembé

Necheu

2019

Journal of Computer Science

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“…In many cases the signal-to-noise ratio will be low, and applications can become cluttered with noise-handling code at the expense of application logic. This is hard to do purely at the event level, without reference to a wider context, and suggests that "composite" event systems such as those of Hayton et alia [7] may not be suitable for pervasive applications.…”

Section: Sensors Consensus Contextmentioning

confidence: 99%

Whole-System Programming of Adaptive Ambient Intelligence

Dobson

Nixon

2007

Universal Access in Human-Computer Interaction. Ambient Interaction

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Ambient intelligence involves synthesising data from a range of sources in order to exhibit meaningful adaptive behaviour without explicit user direction, driven by inputs from largely independent devices and data sources. This immediately raises questions of how such behaviours are to be specified and programmed, in the face of uncertainty both in the data being sensed and the tasks being supported. We explore the issues that impact the stability and flexibility of systems, and use these issues to derive constraints and targets for the next generation of programming frameworks.

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“…Whenever a producer produces an event, all current subscribers for that event are notified of the event occurrence. Event service has been used extensively in information dissemination services [1], distributed systems [8,10,15,3,13], real-time systems [14] and parallel computation [16]. We have developed the Adaptive Event Service (AES), a Corba-based Java event service, and have modified the OpenCCM containers to use AES.…”

Section: Event Communication Overviewmentioning

confidence: 99%

Adaptive event communication in component-based systems

Qing-jun

Kumar

Singh

2004

Proceedings of the 3rd Workshop on Adaptive and Reflective Middleware -

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The flow of events and data on the connections between components in an application may have to be controlled at run time based on the application state to optimize performance. For example, a set of components (or a subsystem) may be inactive in a given state and events flowing towards such inactive components can be eliminated. This paper presents a model-driven approach to dynamically control the flow of events on event connections. The proposed model-driven tool chain consists of analysis algorithms which analyze the application to derive metadata for event flow control, and an adaptive event communication framework which provides configurable event communication middleware. The metadata derived by the analysis algorithms is used to automatically configure the middleware for application state-aware propagation of events. The analysis algorithms are specially useful in large scale distributed real-time embedded systems where deriving such metadata manually can be tedious and error-prone. We have applied the proposed mechanisms to application scenarios from the Boeing BoldStroke system.

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Using events to build large scale distributed applications

Cited by 19 publications

References 2 publications

SocialMANET: A Publish/Subscribe Events Dissemination Protocol for Mobile Ad-Hoc Networks

SocialMANET: A Publish/Subscribe Events Dissemination Protocol for Mobile Ad-Hoc Networks

Whole-System Programming of Adaptive Ambient Intelligence

Adaptive event communication in component-based systems

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