INCOME – Multi-scale Context Management for the Internet of Things

Arcangeli, Jean‐Paul; Bouzeghoub, Amel; Camps, Valérie; Canut, C. Marie-Françoise; Chabridon, Sophie; Conan, Denis; Desprats, Thierry; Laborde, Romain; Lavinal, Emmanuel; Leriche, Sébastien; Maurel, Hervé; Péninou, André; Taconet, Chantal; Zaraté, Pascale

doi:10.1007/978-3-642-34898-3_25

Cited by 15 publications

(15 citation statements)

References 34 publications

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“…Some of these systems are explicitly described by their authors as multiscale [15], [3], [16]. However, we did not find any definition of the multiscale vision of distributed systems and when it should be applied.…”

Section: Related Workmentioning

confidence: 73%

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MuSCa: A Multiscale Characterization Framework for Complex Distributed Systems

Rottenberg¹,

Leriche²,

Taconet³

et al. 2014

Annals of Computer Science and Information Systems

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Abstract-Nowadays, complex systems are distributed over several levels of Information and Communications Technology (ICT) infrastructures. They may involve very small devices such as sensors and RFID, but also powerful systems such as Cloud computers and knowledge bases, as well as intermediate devices such as smartphones and personal computers. These systems are sometimes referred to as multiscale systems. The word "multiscale" may qualify various distributed systems according to different viewpoints such as their geographic dispersion, the networks they are deployed on, or their users' organizations. For one entity of the multiscale system, communication technologies, non-functional properties (for persistence or security purpose) or architectures to be favored may vary from one scale to another. Moreover, ad hoc architecture of such complex systems are costly and non-sustainable. In this paper, we propose a scaleawareness framework, called MuSCa. This framework includes a characterization process based on the concepts of viewpoints, dimensions and scales. These concepts constitute the core of a dedicated metamodel. The proposed framework allows multiscale software designers to share a taxonomy for qualifying their own system. At system design time, the result of such a qualification is a model from which the framework produces scale-awareness artifacts. As an illustration of this model-driven approach, we show how multiscale probes are generated to provide multiscale components with an embedded scale-awareness ability.

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Section: Related Workmentioning

confidence: 73%

“…We have noticed the rising presence of complex distributed systems in several recent research studies [15], [1], [2], [3], [16]. Some of these systems are explicitly described by their authors as multiscale [15], [3], [16].…”

Section: Related Workmentioning

confidence: 99%

MuSCa: A Multiscale Characterization Framework for Complex Distributed Systems

Rottenberg¹,

Leriche²,

Taconet³

et al. 2014

Annals of Computer Science and Information Systems

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“…In this section, we present a motivating scenario inspired from smart city projects such as CIVITAS 1 , and developed within the INCOME 2 project (Multiscale Context Management for the Internet of Things), where we focus on context management for mass market context-aware applications [5], [6]. The context management middleware is a highly heterogeneous and dynamic component-based multiscale system.…”

Section: B Motivating Scenariomentioning

confidence: 99%

MuScADeL: A Deployment DSL Based on a Multiscale Characterization Framework

Boujbel

Rottenberg

Leriche

et al. 2014

2014 IEEE 38th International Computer Software and Applications Conference Workshops

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With the Internet of Things (IoT) paradigm, ambient systems move from locally distributed systems to Internet distributed systems. These systems become huge in term of number of devices and imply high heterogeneity (e.g., of devices, of networks). They are continuously evolving with appearing and disappearing devices at runtime. The inner complexity of these systems, called multiscale systems, requires autonomic deployment middleware. Such middleware should deploy components where and when necessary, and adapt the architecture of the deployed systems considering the different scales of the systems. In this paper, we define MuScADeL, a domainspecific language (DSL) dedicated to multiscale and autonomic software deployment. MuScADeL allows designers to abstractly define deployment properties without exact knowledge of the devices and networks the system will be deployed on. This DSL is based on a scale-awareness framework, which helps designers to characterize the multiscale nature of a system from several viewpoints such as device, network, administration and geography. With MuScADeL, deployment designers may express multiscale properties of systems to deploy. MuScADeL is a building block for deployment middleware that targets multiscale distributed systems. We illustrate the possibilities of MuScADeL through a smart transport scenario.

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“…The software is in charge to evaluate the precision of the measurements, and provide the MDCM the pollution as context information and the evaluation of the precision as QoC indicator. The QoC guarantees of the bus stations are therefore: precision 80% and freshness 60 s. 2 The buses are also equipped with a pollution sensor and an embedded software. This sensor placed is faster than the sensor placed on the bus station; it produces a measurement, in the worst case, every 20 seconds, but it is less accurate ( 50% of precision).…”

Section: An Urban Pollution Measurement Scenariomentioning

confidence: 99%

“…But, either they still have to fully integrate QoC management [7] or their definition of QoC is not formally specified [1]. One of the objectives of the INCOME project [2] is to fill these gaps by integrating a formal definition of QoC within MDCMs. The purpose of the project is to control the whole life cycle of context information and its associated QoC, from the production to the consumption including the processing.…”

Section: Related and Previous Workmentioning

confidence: 99%