Systems Simulation and Modeling for Cloud Computing and Big Data Applications - 1st Edition - ISBN: 9780128197790

Systems Simulation and Modeling for Cloud Computing and Big Data Applications, Volume 10

1st Edition

Editors: Dinesh Peter Steven Fernandes
Paperback ISBN: 9780128197790
Imprint: Academic Press
Published Date: 1st March 2020
Page Count: 220
Sales tax will be calculated at check-out Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

1. Differential Color Harmony: A Robust Approach for Extracting Harmonic Color Features and Perceive Aesthetics in a Large Image Dataset
Tousif Osman, Shahreen Shahjahan Psyche, Tonmoay Deb, Adnan Firoze and Rashedur M. Rahman
2. Physiological Parameter measurement using wearable sensors and Cloud Computing
Anitha Mary, Shobha Mohan, Suganthi Evangeline and K. Rajasekaran
3. Social Media Data Analytics using Feature Engineering
J Anitha, I-Hsien Ting, Akila Agnes S, S. Immanuel Alex Pandian and Belfin R V
4. A Novel Framework for Quality care in Assisting Chronically Impaired Patients with Ubiquitous Computing and Ambient Intelligence Technologies
Kumudha Raimond, Biju Issac, Deva Priya Isravel and Diana Arulkumar
5. Dynamic and static system modelling with simulations of an eco-friendly smart lighting system
Titus Issac, Salaja Silas and Elijah Blessing Rajsingh
6. Predictive analysis of diabetic women patients using R
R.Rifat Ameena and B. Ashadevi
7. IoT Based Smart Mirror for Health Monitoring
Ilango Krishnamurthy, Prabha D and Karthika M S
8. Discovering human influenza virus using ensemble learning
Nandhini M and Vijaya MS
9. Mining and Monitoring Human Activity Patterns in Smart Environment Based Health Care Systems
Nataraj Muthusamy, Shyam Ganesh Ramprakash and Janani Muthusamy Jr.
10. Early Detection of Cognitive Impairment of Elders using Wearable Sensors
S. Meenakshi Ammal and L. S. Jayashree
11. Analysing plant issues by datasets using four-dimensional-principal component analysis algorithm
Kalaiselvi Duraisamy, Kalaiabirami Duraisamy, R Rajkumar, E R. Ahilan, keerthana balamurugan and M Kanimozhi


Description

Systems Simulation and Modelling (SSM) for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations. SSM is used 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. For SSM to grow and continue to develop, modeling theories need to be transformed into consistent frameworks which in turn are implemented into consistent benchmarks. The world is clearly in the era of big data and cloud computing. The challenge for big data is balancing operation and cost tradeoffs by optimizing configurations at both the hardware and software layers to accommodate users’ constraints. Conducting such a study in real time computing environment can be difficult for the following reasons: establishing or renting a large-scale datacenter resource pool, frequently changing experiment configurations in a large-scale real workplace involves a lot of manual configuration, comprising and controlling different types of failure behaviors and benchmarks across heterogeneous software and hardware resource types in a real workplace.

Systems Simulation and Modelling (SSM) for Cloud Computing and Big Data Applications shows you 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. Fired 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 covered in this book. Despite the substantial progress, the research community still needs a holistic comprehensive big data and cloud simulation platform for different applications, covered in Systems Simulation and Modelling (SSM) for Cloud Computing and Big Data Applications.

Key Features

  • Examines the methodology and requirements of benchmarking big data and cloud computing tools, advances in big data frameworks and benchmarks for large-scale data analytics, and frameworks for benchmarking and predictive analytics in big data deployment
  • Discusses applications using big data benchmarks such as BigDataBench, BigBench, HiBench, MapReduce, HPCC, ECL, HOBBIT, GridMix and PigMix, and applications using big data frameworks such as Hadoop, Spark, Samza, Flink and SQL frameworks
  • Covers development of big data benchmarks to evaluate workloads in state-of-the-practice heterogeneous hardware platforms, advances in modelling and simulation tools for performance evaluation, security problems and scalable cloud computing environments, and cloud computing simulators based on both software and hardware

Readership

Systems designers, biomedical engineers, biomedical researchers and policy makers in health care and medicine


Details

No. of pages:
220
Language:
English
Copyright:
© Academic Press 2020
Published:
Imprint:
Academic Press
Paperback ISBN:
9780128197790

Ratings and Reviews


About the Editors

Dinesh Peter Editor

Associate Professor, Department of Computer Sciences Technology, Karunya University, India

Affiliations and Expertise

Associate Professor, Department of Computer Sciences Technology, Karunya University, India

Steven Fernandes Editor

Post-Doctoral Research, Department of Electrical and Computer Engineering , University of Alabama at Birmingham, USA Ph.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

Affiliations and Expertise

Post-Doctoral Researcher, Department of Electrical and Computer Engineering, University of Alabama at Birmingham, United States.