An open architecture for next-generation telecommunication services

Bond, Gregory W.; Cheung, Eric F. C.; Purdy, K. Hal; Zave, Pamela; Ramming, J. Christopher

doi:10.1145/967030.967034

Cited by 29 publications

(23 citation statements)

References 26 publications

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“…JAIN SIP, Java Media Framework (JMF), and Java Telephony API are low-level software framework that are either still significantly complex to use, or inflexible to support next-generation collaborative applications. BoxOS [2] and Parlay are frameworks addressing server-side architectures. The server-side architecture has different concerns than our client-side middleware NCB.…”

Section: Ncb As a Layer In Cvmmentioning

confidence: 99%

A user-centric network communication broker for multimedia collaborative computing

Zhang

Sadjadi

Sun

et al. 2009

Multimed Tools Appl

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Abstract-The development of collaborative multimedia applications today follows a vertical development approach, which is a major inhibitor that drives up the cost of development and slows down the pace of innovation of new generations of collaborative applications. In this paper, we propose a network communication broker (NCB) that provides a unified higherlevel abstraction that encapsulates the complexity of networklevel communication control and media delivery for the class of multimedia collaborative applications. NCB expedites the development of next-generation applications with diverse communication logics. Furthermore, NCB-based applications can be easily ported to new network environments. In addition, the self-managing design of NCB supports dynamic adaptation in response to changes in network conditions and user requirements.

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Section: Ncb As a Layer In Cvmmentioning

confidence: 99%

A user-centric network communication broker for multimedia collaborative computing

Zhang

Sadjadi

Sun

et al. 2009

Multimed Tools Appl

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“…The complexity of communication logic can be carefully regulated through the design of the schema modeling language. Second, CVM utilizes communication middleware components (e.g., those of ACE Schmidt and Huston (2002)) and server-side architectures (e.g., Bond et al, 2004) as building blocks to generate communication applications. Such existing components encapsulate procedures, patterns, and algorithms governing basic communication services (e.g., session establishment of person-to-person voice call, transmission of an image file, and real-time video streaming), which are well understood.…”

Section: Model-driven Engineeringmentioning

confidence: 99%

CVM – A communication virtual machine

Deng

Sadjadi

Clarke

et al. 2008

Journal of Systems and Software

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The convergence of data, voice, and multimedia communication over digital networks, coupled with continuous improvement in network capacity and reliability has resulted in a proliferation of communication technologies. Unfortunately, despite these new developments, there is no easy way to build new application-specific communication services. The stovepipe approach used today for building new communication services results in rigid technology, limited utility, lengthy and costly development cycle, and difficulty in integration. In this paper, we introduce communication virtual machine (CVM) that supports rapid conception, specification, and automatic realization of new application-specific communication services through a user-centric, model-driven approach. We present the concept, architecture, modeling language, prototypical design, and implementation of CVM in the context of a healthcare application. Published by Elsevier Inc.

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“…We motivate our work with a scenario for maintaining variant feature specifications at AT&T. These executable specifications are modules within the Distributed Feature Composition (DFC) architecture (Jackson & Zave, 1998), and form part of a consumer voice-over-IP service. In the current implementation of DFC (Bond et al, 2004), the features are written using Statecharts.…”

Section: Motivating Examplementioning

confidence: 99%

Behavioural model fusion

Nejati

Chećhik

2008

Proceedings of the 2008 International Workshop on Models in Software Engineering

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In large-scale model-based development, developers periodically need to combine collections of interrelated models. These models may capture different features of a system, describe alternative perspectives on a single feature, or express ways in which different features alter one another's structure or behaviour. We refer to the process of combining a set of interrelated models as model fusion.A number of factors make model fusion complicated. Models may overlap, in that they refer to the same concepts, but these concepts may be presented differently in each model, and the models may contradict one another. Models may describe independent system components, but the components may interact, potentially causing undesirable side effects. Finally, models may cross-cut, modifying one another in ways that violate their syntactic or semantic properties.In this thesis, we study three instances of the fusion problem for behavioural models, motivated by real-world applications. The first problem is combining partial models of a single feature with the goal of creating a more complete description of that feature. The second problem is maintenance of variant specifications of individual features. The goal here is to combine the variants while preserving their points of difference (i.e., variabilities). The third problem is analysis of interactions between models describing different features. Specifically, given a set of features, the goal is to construct a composition such that undesirable interactions are absent. We provide an automated tool-supported ii solution to each of these problems and evaluate our solutions.The main novelties of the techniques presented in this thesis are (1) preservation of semantics during the fusion process, and (2) applicability to large and evolving collections of models. These are made possible by explicit modelling of partiality, variability and regularity in behavioural models, and providing semantic-preserving notions for relating these models.iii

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An open architecture for next-generation telecommunication services

Cited by 29 publications

References 26 publications

A user-centric network communication broker for multimedia collaborative computing

A user-centric network communication broker for multimedia collaborative computing

CVM – A communication virtual machine

Behavioural model fusion

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