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Issues and Challenges in Artificial Intelligence pp 115–126Cite as

Suitability of BeesyCluster and Mobile Development Platforms in Modern Distributed Workflow Applications for Distributed Data Acquisition and Processing

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 559))

Abstract

A concept of a distributed system for acquisition of data by modern mobile devices is proposed in the chapter The data are preprocessed, subsequent passed and cached to intermediate servers that expose services for fetching the data. Distinct data gathering zones are proposed, either private or public. The services can be combined into a complex workflow processing on top of the BeesyCluster middleware that provides an easy-to-use human-system interface for management of multiple workflow instances. The chapter discusses suitability of various mobile software development approaches and APIs in terms of gathering data from particular sensors. Finally, an exemplary implementation of data acquisition on the modern PhoneGap platform is provided.

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Acknowledgments

The work was partially performed within grant “Modeling efficiency, reliability and power consumption of multilevel parallel HPC systems using CPUs and GPUs” sponsored by and covered by funds from the National Science Center in Poland based on decision no DEC-2012/07/B/ST6/01516.

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Authors and Affiliations

  1. Department of Computer Architecture, Faculty of Electronics, Telecommunication and Informatics, Gdańsk University of Technology, Gdańsk, Poland

    P. Czarnul

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  1. P. Czarnul
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Correspondence to P. Czarnul .

Editor information

Editors and Affiliations

  1. University of Information Technology and Management, Rzeszów, Poland

    Zdzisław S. Hippe

  2. Polish Academy of Sciences, Institute of Biocybernetics and Biomedical Engineering, Warszawa, Poland

    Juliusz L. Kulikowski

  3. University of Information Technology and Management, Rzeszów, Poland

    Teresa Mroczek

  4. Gdańsk University of Technology, Gdańsk-Wrzeszcz, Poland

    Jerzy Wtorek

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Czarnul, P. (2014). Suitability of BeesyCluster and Mobile Development Platforms in Modern Distributed Workflow Applications for Distributed Data Acquisition and Processing. In: S. Hippe, Z., L. Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Issues and Challenges in Artificial Intelligence. Studies in Computational Intelligence, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-319-06883-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-06883-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06882-4

  • Online ISBN: 978-3-319-06883-1

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