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1 Contents I INTRODUCTION & CONCEPTS 17 1 Introduction to Cloud Computing Introduction 111 Definition of Cloud Computing Characteristics of Cloud Computing Cloud Models Service Models 22 Deployment Models Cloud Services Examples IaaS: Amazon EC2, Google Compute Engine, Azure VMs 25 PaaS: Google App Engine 27 SaaS: Salesforce Cloud-based Services & Applications Cloud Computing for Healthcare Cloud Computing for Energy Systems Cloud Computing for Transportation Systems Cloud Computing for Manufacturing Industry Cloud Computing for Government Cloud Computing for Education Cloud Computing for Mobile Communication
2 2 Cloud Concepts & Technologies Virtualization Load Balancing Scalability & Elasticity Deployment Replication Monitoring Software Defined Networking Network Function Virtualization MapReduce Identity and Access Management Service Level Agreements Billing 59 3 Cloud Services & Platforms Compute Services Amazon Elastic Compute Cloud Google Compute Engine Windows Azure Virtual Machines Storage Services Amazon Simple Storage Service Google Cloud Storage Windows Azure Storage Database Services Amazon Relational Data Store Amazon DynamoDB Google Cloud SQL Google Cloud Datastore Windows Azure SQL Database Windows Azure Table Service Application Services Application Runtimes & Frameworks Queuing Services Services Notification Services Media Services 80
3 35 Content Delivery Services Amazon CloudFront Windows Azure Content Delivery Network Analytics Services Amazon Elastic MapReduce Google MapReduce Service Google BigQuery Windows Azure HDInsight Deployment & Management Services Amazon Elastic Beanstalk Amazon CloudFormation Identity & Access Management Services Amazon Identity & Access Management Windows Azure Active Directory Open Source Private Cloud Software CloudStack Eucalyptus OpenStack 87 4 Hadoop & MapReduce Apache Hadoop Hadoop MapReduce Job Execution NameNode Secondary NameNode JobTracker TaskTracker DataNode MapReduce Job Execution Workflow Hadoop Schedulers FIFO Fair Scheduler Capacity Scheduler Hadoop Cluster Setup Install Java Install Hadoop Networking Configure Hadoop Starting and Stopping Hadoop Cluster 108
4 II DEVELOPING FOR CLOUD Cloud Application Design Introduction Design Considerations for Cloud Applications Scalability Reliability & Availability Security Maintenance & Upgradation Performance Reference Architectures for Cloud Applications Cloud Application Design Methodologies Service Oriented Architecture Cloud Component Model IaaS, PaaS and SaaS services for cloud applications Model View Controller RESTful Web Services Data Storage Approaches Relational (SQL) Approach Non-Relational (No-SQL) Approach Python Basics Introduction Installing Python Python Data Types & Data Structures Numbers Strings Lists Tuples Dictionaries Type Conversions Control Flow if for while range break/continue pass Functions Modules Packages 159
5 68 File Handling Date/Time Operations Classes Python for Cloud Python for Amazon Web Services Amazon EC Amazon AutoScaling Amazon S Amazon RDS Amazon DynamoDB Amazon SQS Amazon EMR Python for Google Cloud Platform Google Compute Engine Google Cloud Storage Google Cloud SQL Google BigQuery Google Cloud Datastore Google App Engine Python for Windows Azure Azure Cloud Service Azure Virtual Machines Azure Storage Python for MapReduce Python Packages of Interest JSON XML HTTPLib & URLLib SMTPLib NumPy Scikit-learn Python Web Application Framework - Django Django Architecture Starting Development with Django Django Case Study - Blogging App Designing a RESTful Web API Cloud Application Development in Python Design Approaches Design methodology for IaaS service model 248
6 812 Design methodology for PaaS service model Image Processing App Document Storage App MapReduce App Social Media Analytics App 284 III ADVANCED TOPICS Big Data Analytics Introduction Clustering Big Data k-means clustering DBSCAN clustering Parallelizing Clustering Algorithms using MapReduce Classification of Big Data Naive Bayes Decision Trees Random Forest Support Vector Machine Recommendation Systems Multimedia Cloud Introduction Case Study: Live Video Streaming App Streaming Protocols RTMP Streaming HTTP Live Streaming HTTP Dynamic Streaming Case Study: Video Transcoding App Cloud Application Benchmarking & Tuning Introduction Trace Collection/Generation Workload Modeling Workload Specification Synthetic Workload Generation User Emulation vs Aggregate Workloads 368
7 112 Workload Characteristics Application Performance Metrics Design Considerations for a Benchmarking Methodology Benchmarking Tools Types of Tests Deployment Prototyping Load Testing & Bottleneck Detection Case Study Hadoop Benchmarking Case Study Cloud Security Introduction CSA Cloud Security Architecture Authentication Single Sign-on (SSO) Authorization Identity & Access Management Data Security Securing Data at Rest Securing Data in Motion Key Management Auditing Cloud for Industry, Healthcare & Education Cloud Computing for Healthcare Cloud Computing for Energy Systems Cloud Computing for Transportation Systems Cloud Computing for Manufacturing Industry Cloud Computing for Education 424 Appendix-A - Setting up Ubuntu VM 431 Appendix-B - Setting up Django 444 Bibliography 450 Index 451
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