Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book.
Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
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Table of Contents
1. Differential Color Harmony: A Robust Approach for Extracting Harmonic Color Features and Perceive Aesthetics in a Large Image Dataset 2. Physiological Parameter measurement using wearable sensors and Cloud Computing 3. Social Media Data Analytics using Feature Engineering 4. A Novel Framework for Quality care in Assisting Chronically Impaired Patients with Ubiquitous Computing and Ambient Intelligence Technologies 5. Dynamic and static system modelling with simulations of an eco-friendly smart lighting system 6. Predictive analysis of diabetic women patients using R 7. IoT Based Smart Mirror for Health Monitoring 8. Discovering human influenza virus using ensemble learning 9. Mining and Monitoring Human Activity Patterns in Smart Environment Based Health Care Systems 10. Early Detection of Cognitive Impairment of Elders using Wearable Sensors 11. Analysing plant issues by datasets using four-dimensional-principal component analysis algorithm
Authors
Dinesh Peter Associate Professor, Department of Computer Sciences Technology, Karunya University, India. J. Dinesh Peter is Program Coordinator for the Department of Computer Sciences Technology at Karunya University, and author of more than 25 academic articles/chapters/conference papers. He has been active in government and industry as the developer of new technologies including Digital Image Processing, Virtual Reality Technology, Medical Image Processing, Computer Vision, and Optimization. He has been Guest Editor of a special issue of the Elsevier journal Computers and Electrical Engineering, and Guest Editor of special issues of the Journal of Cloud Computing and Journal of Big Data Intelligence. Dr. Peter received his Ph.D. in Computer Science and Engineering from National Institute of Technology Calicut, India. Steven L. Fernandes Post-Doctoral Researcher, Department of Electrical and Computer Engineering, University of Alabama at Birmingham, USA. Post-Doctoral Research, Department of Electrical and Computer Engineering , University of Alabama at Birmingham, USAPh.D. in Computer Vision & Machine Learning, Karunya University, Coimbatore, Tamil Nadu, India
Master of Technology, Microelectronics, Manipal Institute of Technology, Manipal, Karnataka, India
Bachelor of Engineering, Electronics and Communication Engineering,
Canara Engineering College, Bantwal, Karnataka, India
December 2017
March 2017
June 2011
June 2008
ACADEMIC AND TECHNICAL WORK EXPERIENCE
? Assistant Professor, Department of Electronics and Communication Engineering, Sahyadri College of Engineering and Management, India, June 2014 - June 2017
? Senior Software Test Analysts, Perform Group Pvt. Ltd., India April 2011 - June 2014
