Full Description
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.
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
