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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Formal Specification of a Truck Geo-Location Big-Data Application

Author 1: Ayman Naseem
Author 2: Nadeem Akhtar
Author 3: Malik Saad Missen

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080447

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 4, 2017.

  • Abstract and Keywords
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Abstract: In the last few year’s social networks, e-commerce, mobile commerce, and sensor networks have resulted into an exponential increase in data size. This data comes in all formats i.e. structured, un-structured and semi-structured. To efficiently extract useful information from these huge data sources is important. This information can play a central role in making future decisions and strategies. A truck geo-location big-data application integrated with formal model is proposed. The truck geo-location data is un-structured and it is accessed and manipulated by Hadoop query engine. Labelled transition system based formal model of the application is proposed to ensure safety and liveness properties of correctness.

Keywords: Big-data; Formal methods; Correctness properties; Safety; Liveness; Internet-of-Things (IoT); MapReduce; Hadoop Distributed File System (HDFS); Finite State Processes (FSP); Labelled Transition System (LTS)

Ayman Naseem, Nadeem Akhtar and Malik Saad Missen, “Formal Specification of a Truck Geo-Location Big-Data Application” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080447

@article{Naseem2017,
title = {Formal Specification of a Truck Geo-Location Big-Data Application},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080447},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080447},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Ayman Naseem and Nadeem Akhtar and Malik Saad Missen}
}


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