Applications of Cloud Computing

Approaches and Practices

Prerna Sharma, Moolchand Sharma, Mohamed Elhoseny

• Publisher: Chapman and Hall/CRC
• Year: 2020
• eBook ISBN: 9781000214628
• Topic: Computer Science
• Subtopic: Cloud Computing
• Index: Computer Science

In the era of the Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such a humongous amount of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such a computing framework for a large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade.

Applications of Cloud Computing: Approaches and Practices lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it.

It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.

Chapter 1

Analysis of Biological Information Using Statistical Techniques in Cloud Computing

Srishti Sahni, Ashish Khanna and Joel J. P. C. Rodrigues

Contents

1.1What Is Bioinformatics?

1.1.1A Brief History

1.1.2Tools and Techniques

1.1.3Future Scope

1.2Cloud Analytics

1.2.1Analytic Services

1.2.2Bioinformatics Cloud

1.3Bioinformatics Cloud Computing Services

1.3.1Data as a Service (DaaS)

1.3.1.1EMBOSS

1.3.1.2J-GLOBAL

1.3.1.3Gene Set Builder

1.3.1.4BioDWH

1.3.1.5AWS Public Datasets

1.3.1.6SeqHound

1.3.2Software as a Service (SaaS)

1.3.2.1Lhasa Cloud

1.3.2.2eCEO

1.3.2.3StormSeq

1.3.2.4Crossbow

1.3.2.5CloudBurst

1.3.3Platform as a Service (PaaS)

1.3.3.1DNAnexus

1.3.3.2Magallanes

1.3.3.3Google Genomics

1.3.3.4Syapse

1.3.3.5BioServices

1.3.3.6Eoulsan

1.3.4Infrastructure as a Service (IaaS)

1.3.4.1Google Compute Engine

1.3.4.2GoGrid

1.3.4.3HP Helion

1.3.4.4Joyent

1.4CSIM Architecture

1.5Implementation Challenges

1.5.1Security and Privacy

1.5.2Legal Aspects

References

1.1What Is Bioinformatics?

To understand bioinformatics, one must first understand data and the form they take when dealing with biology. Data are nothing but a collection of raw facts and figures that are processed and analyzed to make sense of observed variations, patterns, and values. Biology, as a whole, deals with a variety of large chunk databases such as experimental observations, genomics, proteomics, metabolomics, microarray gene expression, and many more [1]. These data are of no use in medicine until processed and analyzed [1]. The genome analysis of a person can take days and still be incomplete if processed manually; even if the processing is completed it may not be 100% reliable as the possibility of human error will always remain. This is where b...

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• Tables and Figures
• Preface
• Editors
• Contributors
• About This Book
• Chapter 1 Analysis of Biological Information Using Statistical Techniques in Cloud Computing
• Chapter 2 Intelligent Cloud Computing and Bioinformatics Data Analysis
• Chapter 3 Cloud Computing Service Models: Traditional and User-Centric Approaches
• Chapter 4 Biometrics as a Service
• Chapter 5 The Role of Intelligent Grid Technology in Cloud Computing
• Chapter 6 Application of Networks in Cloud Computing
• Chapter 7 Privacy and Security Issues in Cloud Computing
• Chapter 8 Design and Development of E-Commerce–Oriented PaaS Application in Cloud Computing Environment
• Chapter 9 UAV Environment in FANET: An Overview
• Chapter 10 A Transition from Cloud to Fog Computing: Identifying Features, Challenges and the Future
• INDEX