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2014 | OriginalPaper | Buchkapitel

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

verfasst von : P. Czarnul

Erschienen in: Issues and Challenges in Artificial Intelligence

Verlag: Springer International Publishing

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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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Titel: Suitability of BeesyCluster and Mobile Development Platforms in Modern Distributed Workflow Applications for Distributed Data Acquisition and Processing
verfasst von: P. Czarnul
Verlag: Springer International Publishing
Buch: Issues and Challenges in Artificial Intelligence
Print ISBN: 978-3-319-06882-4

Electronic ISBN: 978-3-319-06883-1

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-06883-1_10

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