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Modeling Big Data Analytics with a Real-Time Executable Specification Language

Modeling Big Data Analytics with a Real-Time Executable Specification Language

Amir A. Khwaja
Copyright: © 2015 |Pages: 24
ISBN13: 9781466685055|ISBN10: 1466685050|EISBN13: 9781466685062
DOI: 10.4018/978-1-4666-8505-5.ch014
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MLA

Khwaja, Amir A. "Modeling Big Data Analytics with a Real-Time Executable Specification Language." Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, edited by Noor Zaman, et al., IGI Global, 2015, pp. 289-312. https://doi.org/10.4018/978-1-4666-8505-5.ch014

APA

Khwaja, A. A. (2015). Modeling Big Data Analytics with a Real-Time Executable Specification Language. In N. Zaman, M. Seliaman, M. Hassan, & F. Marquez (Eds.), Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence (pp. 289-312). IGI Global. https://doi.org/10.4018/978-1-4666-8505-5.ch014

Chicago

Khwaja, Amir A. "Modeling Big Data Analytics with a Real-Time Executable Specification Language." In Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, edited by Noor Zaman, et al., 289-312. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8505-5.ch014

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Abstract

Big data explosion has already happened and the situation is only going to exacerbate with such a high number of data sources and high-end technology prevalent everywhere, generating data at a frantic pace. One of the most important aspects of big data is being able to capture, process, and analyze data as it is happening in real-time to allow real-time business decisions. Alternate approaches must be investigated especially consisting of highly parallel and real-time computations for big data processing. The chapter presents RealSpec real-time specification language that may be used for the modeling of big data analytics due to the inherent language features needed for real-time big data processing such as concurrent processes, multi-threading, resource modeling, timing constraints, and exception handling. The chapter provides an overview of RealSpec and applies the language to a detailed big data event recognition case study to demonstrate language applicability to big data framework and analytics modeling.

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