IMI2S: A lightweight framework for distributed computing

Salvatore M. Anzalone; Marie Avril; Hanan Salam; Mohamed Chetouani

doi:10.1007/978-3-319-11900-7_23

IMI2S: A lightweight framework for distributed computing

Salvatore M. Anzalone, Marie Avril, Hanan Salam, Mohamed Chetouani

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

An increasing number of applications require the integration of heterogeneous hardware and software components. Due to the high levels of complexity that such integrations demand, several solution have been proposed in the state of art of software engineering. This paper introduces the IMI2S framework: a distributed computing software platform aimed to cope with such levels of complexity by simplifying the functional decomposition of the problems through the implementation of highly decoupled, efficient and portable software. We will present the design issues addressed in the development of the IMI2S framework. We will show through two case studies its flexibility and its general efficacy.

Original language	English (US)
Pages (from-to)	267-278
Number of pages	12
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8810
DOIs	https://doi.org/10.1007/978-3-319-11900-7_23
State	Published - 2014

Keywords

Distributed computing
Multimodal perception
Robotics framework
Sensor networks
Social signal processing
Software frameworks

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-319-11900-7_23

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title = "IMI2S: A lightweight framework for distributed computing",

abstract = "An increasing number of applications require the integration of heterogeneous hardware and software components. Due to the high levels of complexity that such integrations demand, several solution have been proposed in the state of art of software engineering. This paper introduces the IMI2S framework: a distributed computing software platform aimed to cope with such levels of complexity by simplifying the functional decomposition of the problems through the implementation of highly decoupled, efficient and portable software. We will present the design issues addressed in the development of the IMI2S framework. We will show through two case studies its flexibility and its general efficacy.",

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AU - Salam, Hanan

AU - Chetouani, Mohamed

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KW - Multimodal perception

KW - Robotics framework

KW - Sensor networks

KW - Social signal processing

KW - Software frameworks

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IMI2S: A lightweight framework for distributed computing

Abstract

Keywords

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