Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/24615
Title: Doctoral symposium : an embedded DSL framework for distributed embedded systems
Authors: Mizzi, Adrian
Ellul, Joshua
Pace, Gordon J.
Keywords: Functional programming (Computer science)
Embedded computer systems
Wireless sensor networks
Domain-specific programming languages
Issue Date: 2017
Publisher: ACM
Citation: Mizzi, A., Ellul, J., & Pace, G. (2017). Doctoral symposium: an embedded DSL framework for distributed embedded systems. 11th ACM International Conference on Distributed and Event-Based Systems, Barcelona. 374-377.
Abstract: Programming distributed embedded systems gives rise to a number of challenges. e distributed nodes are typically resource constrained, requiring expert systems programming skills to manage the limited power, communication bandwidth, and memory and computation constraints. e challenge of raising the level of abstraction of programming such systems without incurring too high of an execution performance penalty is thus an important one, and many approaches have been explored in the literature. e work presented in this paper investigates a framework and domain specic language (DSL) to enable programming of such systems at a global network level. e framework enables the compilation, analysis, transformation and interpretation of high-level descriptions of stream processing applications in which information is received and processed in real-time. e ongoing research aims at investigating the following directions. Firstly, a framework to allow the manipulation and multiple interpretations of a stream processor description to support the heterogeneity aspect of devices. Secondly, a language to hide the low-level detail from the developer, while allowing the developer to add hints to enable more ecient compilations. irdly, through transformations, dierent stream processing applications can be fused together to run on the same distributed network to make best of use of available resources.
URI: https://www.um.edu.mt/library/oar//handle/123456789/24615
Appears in Collections:Scholarly Works - FacICTCS

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