2004
DOI: 10.1007/978-3-540-24769-2_17
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An Architecture Description Language for Mobile Distributed Systems

Abstract: Mobile software applications have to meet new requirements directly arising from mobility issues. To address these requirements at an early stage in development, an architecture description language (ADL) is proposed, which allows to manage issues like availability requirements, mobile code, security, and replication processes. Aspects of this ADL, Con Moto, are exemplified with a case study from the insurance sector.

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Cited by 7 publications
(3 citation statements)
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“…The ADLs chosen for the comparison are: Darwin [9], C2Sadel [11], Community [8], MobiS [5], LAM Model [17], π-ADL [13], Con-Moto [7] and Ambient-PRISMA [1]. These ADLs have been chosen because they were the only ones found in the state of art which have declared to support primitives for distributed and mobile software systems.…”
Section: Comparing Adls For Distribution and Mobilitymentioning
confidence: 99%
See 1 more Smart Citation
“…The ADLs chosen for the comparison are: Darwin [9], C2Sadel [11], Community [8], MobiS [5], LAM Model [17], π-ADL [13], Con-Moto [7] and Ambient-PRISMA [1]. These ADLs have been chosen because they were the only ones found in the state of art which have declared to support primitives for distributed and mobile software systems.…”
Section: Comparing Adls For Distribution and Mobilitymentioning
confidence: 99%
“…This paper presents a comparison among existing ADLs which have described distributed and mobile systems. These are Darwin [9], C2Sadel [11], Community [8], MobiS [5], LAM Model [17], π-ADL [13], Con-Moto [7] and Ambient-PRISMA [1]. The main features used for the comparison have been proposed by Roman et al [15].…”
Section: Introductionmentioning
confidence: 99%
“…Code, which is generated from MAIDL, is in a procedural paradigm rather than declarative [1], since the control part mainly consists of procedures that are passing parameters and synchronizing processes in the mashup runtime environment. For this reason, we proposed automatic code generation algorithms, which assist composers in creating mobile mashup applications.…”
Section: Introductionmentioning
confidence: 99%