Cloud Computing Basics by Rehman, T.B. -- Read -- Imperial Library of Trantor

Index

Cover Title Page Copyright Contents Preface Chapter 1: Overview of the Computing Paradigm

1.1 Recent Trends in Distributed Computing

1.1.1 Peer to Peer Computing 1.1.2 Cluster Computing 1.1.3 Utility Computing 1.1.4 Grid Computing 1.1.5 Cloud Computing 1.1.6 Fog Computing 1.1.7 Jungle Computing 1.1.8 Comparison of Various Computing Technologies

1.2 Vision of Cloud Computing 1.3 Cloud Application

1.3.1 ECG Analysis on the Cloud 1.3.2 Protein Structure Prediction Applications in Biology 1.3.3 CRM 1.3.4 ERP 1.3.5 Social Networking

Chapter 2: Roadmap for Cloud Computing

2.1 Characteristics of Cloud Computing 2.2 Challenges of Cloud Computing 2.3 Cloud Adoption and Rudiments 2.4 Cloud Computing Environments 2.5 Cloud Service Requirements 2.6 Cloud and Dynamic Infrastructure 2.7 Pros and Cons of Cloud Computing

Chapter 3: Cloud Virtualization Technology

3.1 Virtualization

3.1.1 Virtualization Characteristic 3.1.2 Virtualization Types

3.2 Virtualization Benefits 3.3 Hypervisor Management Software

3.3.1 Advantages of Hypervisor-based Systems 3.3.2 Hypervisors Classification

3.4 Virtualization Applications

3.4.1 Storage Virtualization 3.4.2 Network Virtualization 3.4.3 Desktop Virtualization 3.4.4 Compute Virtualization 3.4.5 Application Virtualization 3.4.6 Server Virtualization

Chapter 4: Cloud Computing Architecture

4.1 Service Oriented Computing

4.1.1 Service Oriented Architecture [SOA] 4.1.2 Service Oriented Architecture Services 4.1.3 Service Oriented Architecture Working 4.1.4 Service Oriented Architecture Benefits

4.2 The NIST Model 4.3 Cloud Reference Model 4.4 Cloud Deployment Models/Type of Cloud 4.5 Federated Cloud/ Inter Cloud

4.5.1 Cloud Federation Stack

4.6 Cloud Services 4.7 Cloud Solution 4.8 Cloud Ecosystem 4.9 Cloud Business Process Management

4.9.1 Business Process Management (BPM) Lifecycle

4.10 Cloud Service Management 4.11 Cloud Offerings 4.12 Cloud Analytics 4.13 Testing Under Cloud 4.14 Introduction to Mapreduce 4.15 Hadoop Framework

4.15.1 Hadoop Architecture 4.15.2 Hadoop Advantages

4.16 Hadoop Distributed File System (HDFS)

4.16.1 HDFS Features 4.16.2 HDFS Architecture 4.16.3 Goals of HDFS

Chapter 5: Cloud Management

5.1 Cloud Management Platform 5.2 Scalability 5.3 Fault Tolerance 5.4 Resiliency 5.5 Provisioning 5.6 Asset Management 5.7 Cloud Governance 5.8 High Availability 5.9 Disaster Recovery 5.10 Multi-Tenancy

Chapter 6: Cloud Security

6.1 Cloud Computing Security Challenges

6.1.1 Deployment Model Challenges 6.1.2 Service Model Challenges 6.1.3 Network Challenges

6.2 Cloud Information Security Fundamentals 6.3 Cloud Information Architecture

6.3.1 Information Dispersion 6.3.2 Information Management 6.3.3 Data Security Lifecycle 6.3.4 Information Governance 6.3.5 Data Security 6.3.6 Data Loss Prevention 6.3.7 Database and File Activity Monitoring

6.4 Cloud Security Services 6.5 Cloud Computing Security Architecture

6.5.1 Design Principles 6.5.2 Secure Cloud Requirements 6.5.3 Policy Implementation 6.5.4 Virtualization Security Management

6.6 Security Measures by Cloud Provider and Customer

6.6.1 Security by Cloud Providers 6.6.2 Security by Cloud Customers

6.7 Security Issues in the Cloud Deployment Models

6.7.1 Security Issues in Public Cloud 6.7.2 Security issues in Private Cloud

Chapter 7: Case Study

7.1 Market Oriented Cloud Computing (MOCC)

7.1.1 Market Oriented Architecture for Datacenters

7.2 Third Party Cloud Service 7.3 Google App Engine

7.3.1 Google Application Engine Architecture 7.3.2 Pros and Cons of Google App Engine

7.4 Microsoft Azure

7.4.1 Windows Azure Compute 7.4.2 Windows Azure Storage 7.4.3 Windows Azure Fabric 7.4.4 SQL Azure 7.4.5 Real World Implementation Example

7.5 Amazon Web Services 7.6 Aneka

7.6.1 Aneka Architecture

7.7 Salesforce 7.8 Eucalyptus

7.8.1 Components of Eucalyptus

References Index

← Prev
Back
Next →

← Prev
Back
Next →