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Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems

Context- and Template-Based Compression for Efficient Management of Data Models in Resource-Constrained Systems

Authors :
Arquitectura y Tecnología de Computadores
Tecnología electrónica
Konputagailuen Arkitektura eta Teknologia
Teknologia elektronikoa
Berzosa Macho, Jorge
Gardeazabal Montón, Pedro José Luis
Cortiñas Rodríguez, Roberto
Arquitectura y Tecnología de Computadores
Tecnología electrónica
Konputagailuen Arkitektura eta Teknologia
Teknologia elektronikoa
Berzosa Macho, Jorge
Gardeazabal Montón, Pedro José Luis
Cortiñas Rodríguez, Roberto
Publication Year :
2017

Abstract

The Cyber Physical Systems (CPS) paradigm is based on the deployment of interconnected heterogeneous devices and systems, so interoperability is at the heart of any CPS architecture design. In this sense, the adoption of standard and generic data formats for data representation and communication, e.g., XML or JSON, effectively addresses the interoperability problem among heterogeneous systems. Nevertheless, the verbosity of those standard data formats usually demands system resources that might suppose an overload for the resource-constrained devices that are typically deployed in CPS. In this work we present Context-and Template-based Compression (CTC), a data compression approach targeted to resource-constrained devices, which allows reducing the resources needed to transmit, store and process data models. Additionally, we provide a benchmark evaluation and comparison with current implementations of the Efficient XML Interchange (EXI) processor, which is promoted by the World Wide Web Consortium (W3C), and it is the most prominent XML compression mechanism nowadays. Interestingly, the results from the evaluation show that CTC outperforms EXI implementations in terms of memory usage and speed, keeping similar compression rates. As a conclusion, CTC is shown to be a good candidate for managing standard data model representation formats in CPS composed of resource-constrained devices.

Details

Database :
OAIster
Notes :
Research partially supported by the European Union Horizon 2020 Programme under Grant Agreement Number H2020-EeB-2015/680708 - HIT2GAP, Highly Innovative building control Tools Tackling the energy performance GAP. Also partially supported by the Department of Education, Universities and Research of the Basque Government under Grant IT980-16 and the Spanish Research Council, under grant TIN2016-79897-P., English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1050177465
Document Type :
Electronic Resource