2009
DOI: 10.1002/cpe.1414
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Dimensions of coupling in middleware

Abstract: Abstract. It is well accepted that different types of distributed architectures require different degrees of coupling. For example, in client-server and three-tier architectures, application components are generally tightly coupled, both with one-another and with the underlying middleware. Meanwhile, in off-line transaction processing, grid computing and mobile applications, the degree of coupling between application components and with the underlying middleware needs to be minimised. Terms such as "synchronou… Show more

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Cited by 7 publications
(13 citation statements)
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“…Generally, communication between the monitoring infrastructure and the client is a distributed systems communication issue and its customization may require the definition of additional dimensions, such as space and time decoupling options [1,17]. However, since those aspects are not monitoring specific, we do not further discuss them here.…”
Section: Fig 3 Options For the Manage Data Dimension-examplementioning
confidence: 99%
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“…Generally, communication between the monitoring infrastructure and the client is a distributed systems communication issue and its customization may require the definition of additional dimensions, such as space and time decoupling options [1,17]. However, since those aspects are not monitoring specific, we do not further discuss them here.…”
Section: Fig 3 Options For the Manage Data Dimension-examplementioning
confidence: 99%
“…For business process modeling purposes, we use colored Petri nets (CPNs) [1,26]. CPNs have been chosen because they have a graphical representation, they have mature and freely available tool support, e.g., CPN Tools, and they have a precise semantic that can be translated to or directly implemented in other languages, e.g., Event-driven Process Chains [38] or YAWL [42], used by commercial and noncommercial workflow engines.…”
Section: Patterns For Process Monitoring Options Implementationmentioning
confidence: 99%
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“…The option push models cases in which MI pushes monitoring values to MC, whereas pull models cases in which MI sends values of MV only after having received a request from MC. Generally, communication between MI and MC is a distributed systems communication issue and its customization may require the definition of additional dimensions, such as space and time decoupling option [9,10]. However, since those aspects are not monitoring-specific, we do not further discuss them here.…”
Section: Supply Data To MC (Mi-mc)mentioning
confidence: 99%
“…For business process modeling purposes, we use Colored Petri Nets (CPNs) [10][11]. CPNs have been chosen because they have a graphical representation, they have mature and freely available tool support, e.g.…”
Section: Fig 2 Interfaces Between MI Mc and Bpementioning
confidence: 99%