Cloud Computing Master Cloud Computing Concepts Architecture and Applications with Real world examples and Case studies 1st Edition by Kamal Kant Hiran, Ruchi Doshi, Temitayo Fagbola, Mehul Mahrishi 9388511409 9789388511407

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ISBN 10: 9388511409

ISBN 13: 9789388511407

Author: Kamal Kant Hiran, Ruchi Doshi, Temitayo Fagbola, Mehul Mahrishi

With the advent of internet, there is a complete paradigm shift in the manner we comprehend computing. Need to enable ubiquity, convenient and on-demand access to resources in highly scalable and resilient environments that can be remotely accessed, gave birth to the concept of Cloud computing. The acceptance is so rapid that the notion influences sophisticated innovations in academia, industry and research world-wide and hereby change the landscape of information technology as we thought of. Through this book, the authors tried to incorporate core principles and basic notion of cloud computing in a step-by-step manner and tried to emphasize on key concepts for clear and thorough insight into the subject. This book begins with the fundamentals of cloud computing, its service and deployment models, architecture, as well as applications and platforms. It presents some key enterprise strategies and models for the adoption of and migration to cloud. Privacy and security issues and challenges also form a major part of our discussion in the book as well as case studies of cloud computing adoption in Sub-Saharan Africa and India. The book concludes with a discussion of several advanced topics, such as Amazon Web Services (AWS), Open Nebulla, Microsoft Azure, Apache Hadoop and Google App Engine (GAE).

Cloud Computing Master Cloud Computing Concepts Architecture and Applications with Real world examples and Case studies 1st Table of contents:

1. Foundation of Cloud Computing

Objectives

Introduction to cloud computing

History of cloud computing

Fundamentals of the cloud computingecosystem

Cloud computing characteristics

Technical characteristics of cloud computing

Basic characteristics of cloud computing

Advantages and disadvantages of cloud computing

Comparison of traditional and cloud computing paradigms

Cluster computing

Grid computing

Cloud computing

Evaluating the cloud’s business impact andeconomics

Business drivers of cloud computing adoption

Future of the cloud (FoC)

Summary

Exercise

2. Cloud Services and deployment Models

Objectives

Cloud deployment models

Public (external) cloud

Private/Internal/Corporate cloud

Hybrid cloud

Community cloud

Cloud Service Models

Infrastructure-as-a-Service (IaaS)

Platform-as-a-Service (PaaS)

Software-as-a-Service (SaaS)

Cloud infrastructure mechanisms

Logical network perimeter (LNP)

Virtual server

Cloud storage devices (CSD)

Cloud usage monitor

Resource replication

Ready-made environment

Cloud service management

Summary

Exercise

3. Cloud Computing Architecture

Objectives

Cloud computing architecture designprinciples

Cloud computing life cycle (CCLC)

Phase 1 – Architect

Phase 2 – Engage

Phase 3 – Operate

Phase 4 – Refresh

Cloud computing reference architecture

Load balancing approach

Mobile cloud computing (MCC)

Mobile computing features

Challenges

Mobile cloud computing architecture

Case study – Oracle cloud management

Conceptual view

Logical view

Oracle cloud mapping to the logical view

Summary

Exercise

4. Virtualization Technology

Objectives

Understanding virtualization

Adopting virtualization

Techniques of virtualization

How virtualization works?

XEN

Kernel-based virtual machine (KVM)

VMware

VirtualBox

Citrix

Types of Virtualization

Data virtualization

Desktop virtualization

CPU virtualization

Network virtualization

Storage virtualization

Server virtualization

Virtualization in Cloud

Summary

Exercise

5. Service oriented Architecture

Objectives

SOA foundation

Web Services and SOA

SOA communication

SOA components

SOA Infrastructure

Need of SOA

Business Process Management (BPM)

Business Process Management Platform as aService – BPM PaaS

Business Process as a Service-BPaaS

Summary

Exercise

6. Cloud Security and privacy

Objectives

Cloud security

Cloud CIA security model

Data confidentiality

Data integrity

Data availability

Cloud computing security architecture

Service provider security issues

Security issues in virtualization

Cloud legal issues

Performance monitoring and management of cloud services

Legal issues in cloud computing

Data security in cloud

The cloud risk management framework

Risk management process for cloud consumers

Requirement for risk management in ISO/IEC 27001

Data privacy risks in the cloud

Availability risks

Service provisioning risks

Business continuity and disaster recovery

Disaster recovery requirements

Mechanisms for cloud disaster recovery

Disaster recovery as a service

The cloud disaster recovery architecture

Challenges of the cloud disaster recovery

Threats in cloud

Security techniques for threats protection

Cloud service level agreements (SLA) practices

Components of a cloud SLA

Types of SLAs

Cloud vendors

Issues of Quality of Cloud Services

Techniques for providing QoS to the cloudapplications

Migration of a local server into cloud

Preliminary checklist/planning for migration

Migration steps

Types of migration for cloud-enabled applications

Trust management

Trust management evaluation attributes

Cloud trust management techniques

Summary

Exercise

7. Cloud Computing Applications

Objectives

Introducing cloud computing applications

Google App Engine

Google Apps

Gmail

Google Docs

Google Calendar

Google Drive

Google Cloud Datastore

Dropbox Cloud

Apple iCloud

Microsoft Windows Azure Cloud

Amazon Web Services (AWS)

Amazon Elastic Compute Cloud (Amazon EC2)

Amazon Simple Storage Service (S3)

Summary

Exercise

8. Cloud Computing Technologies, Platforms and Services

Objectives

High-performance computing with cloudtechnologies

Message Passing Interface (MPI)

MapReduce programming model

Dryad and DryadLINQ

Eucalyptus cloud platform

Components of Eucalyptus

OpenNebula cloud platform

Layers of OpenNebula

Features of OpenNebula

OpenStack cloud platform

OpenStack components

Benefits of Open Stack

Nimbus Cloud Computing Platform

Features of Nimbus

The Apache Hadoop ecosystem

Architecture of Hadoop

Major components of Hadoop

Hadoop and cloud

Summary

Exercise

9. Adoption of Cloud Computing

Objectives

Adoption of cloud computing in the current era

Factors affecting cloud computing adoption

Technological factors

Organizational factors

Environmental factors

Cloud computing existing areas of application

Cloud computing in education

Cloud computing in healthcare

Cloud computing in politics

Cloud computing in business

Cloud computing in agriculture

Case studies

Cloud computing adoption in Sub-Saharan Africa

Cloud computing adoption in India

Cloud computing certifications

Google Cloud Certifications

IBM Cloud Certifications

Amazon Web Services (AWS) Cloud Certifications

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Kamal Kant Hiran,Ruchi Doshi,Temitayo Fagbola,Mehul Mahrishi,Cloud