| 000 | 06736nam a2200169 4500 | ||
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| 999 |
_c2227 _d2227 |
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| 020 | _a9781494435141 | ||
| 040 | _cCUS | ||
| 082 |
_a004.6782 _bBAH/C |
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| 100 |
_aBahga, Arshdeep. _915713 |
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| 245 |
_aCloud computing: a hands-on approach/ _cArshdeep Bahga and Vijay Madisetti |
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| 260 |
_aHyderabad : _bUniversities Press , _c2014. |
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| 300 |
_a454 p. : _bill. ; _c26 cm. |
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| 505 | _aPART I INTRODUCTION & CONCEPTS 1 Introduction to Cloud Computing 1.1 Introduction 1.1.1 Definition of Cloud Computing 1.2 Characteristics of Cloud Computing 1.3 Cloud Models 1.3.1 Service Models 1.3.2 Deployment Models 1.4 Cloud Services Examples 1.4.1 laaS: Amazon EC2, Google Compute Engine, Azure VMs 1.4.2 PaaS: Google App Engine 1.4.3 SaaS: Salesforce 1.5 Cloud-based Services & Applications 1.5.1 Cloud Computing for Healthcare 1.5.2 Cloud Computing for Energy Systems 1.5.3 Cloud Computing for Transportation Systems 1.5.4 Cloud Computing for Manufacturing Industry 1.5.5 Cloud Computing for Government 1.5.6 Cloud Computing for Education 1.5.7 Cloud Computing for Mobile Communication Cloud Concepts & Technologies 2.1 Wtualization 2.2 Load Balancing 2.3 Scalability & Elasticity 2.4 Deployment 2.5 Replication 2.6 Monitoring 2.7 Software Defined Networking 2.8 Network Function Virtualization 2.9 MapReduce 2.10 Identity and Access Management 2.11 Service Level Agreements 2.12 Billing Cloud Services & Platforms 3.1 Compute Services 3.1.1 Amazon Elastic Compute Cloud 3.1.2 Google Compute Engine 3.1.3 Windows Azure Virtual Machines 3.2 Storage Services 3.2.1 Amazon Simple Storage Service 3.2.2 Google Cloud Storage 3.2.3 Windows Azure Storage 3.3 Database Services 3 3,1 Amazon Relational Data Store 3,3.2 Amazon DynamoDB 3 3 3 Google Cloud SQL 3 3 4 Google Cloud Datastore 3.3.5 Windows Azure SQL Database 3.3.6 Windows Azure Table Service 3.4 Application Services 3.4.1 Application Runtimes & Frameworks 3.4.2 Queuing Services 3.4.3 Email Services 3.4.4 Notification Services 3.4.5 Media Seryices 3 5 Content Delivery Services 3 5 1 Amazon CloudFront 3 5 2 Windows Azure Content Delivery Network 3.6 Analytics Services 3.6.1 Amazon Elastic MapReduce 3.6.2 Google MapReduce Service 3.6.3 Google BigQuery 3.6.4 Windows Azure HDInsig^it 3.7 Deployment & Management Services 3.7.1 Amazon Elastic Beanstalk 3.7.2 Amazon CloudFormation 3.8 Identity & Access Management Services 3.8.1 Amazon Identity & Access Management 3.8.2 Windows Azure Active Directory 3.9 Open Source Private Cloud Software 3.9.1 CloudStack 3.9.2 Eucalyptus 3.9.3 OpenStack 4 Hadoop & MapReduce 4.1 Apache Hadoop 4.2 Hadoop MapReduce Job Execution 4.2.1 NameNode 4.2.2 Secondary NameNode 4.2.3 JobTracker 4.2.4 TaskTracker 4.2.5 DataNode 4.2.6 MapReduce Job Execution Workflow 4.3 Hadoop Schedulers 4.3.1 FIFO 4.3.2 Fair Scheduler 4.3.3 Capacity Scheduler 4.4 Hadoop Cluster Setup 4.4.1 Install Java 4.4.2 Install Hadoop 4.4.3 Networking 4.4.4 Configure Hadoop 4.4.5 Starting and Stopping Hadoop Cluster II DEVELOPING FOR CLOUD 5 Cloud Application Design 5.1 Introduction 5.2 Design Considerations for Cloud Applications 5.2.1 Scalability 5.2.2 Reliability & Availability 5.2.3 Security 5.2.4 Maintenance & Upgradation 5.2.5 Performance 5.3 Reference Architectures for Cloud Applications 5.4 Cloud Application Design Methodologies 5.4.1 Service Oriented Architecture 5.4.2 Cloud Component Model 5.4.3 laaS, PaaS and SaaS Services for Cloud Applications 5.4.4 Model View Controller 5.4.5 RESTful Web Services 5.5 Data Storage Approaches 5.5.1 Relational (SQL) Approach 5.5.2 Non-Relational (No-SQL) Approach Python Basics 6.1 Introduction 6.2 Installing Python 6.3 Python Data Types & Data Structures 6.3.1 Numbers 6.3.2 Strings 6.3.3 Lists 6.3.4 Tuples 6.3.5 Dictionaries 6.3.6 Type Conversions 6.4 Control Flow 6.4.1 if 6.4.2 for 6.4.3 while 6.4.4 range 6.4.5 break/continue 6.4.6 pass 6.5 Functions 6.6 Modules 6.7 Packages 6.8 File Handling ^ g Date/Time Operations 6 10 Classes 163 7 Python for Cloud 7.1 Python for Amazon Web Services 7.1.1 Amazon EC2 7.1.2 Amazon AutoScaling 7.1.3 Amazon S3 7.1.4 Amazon RDS 7.1.5 Amazon DynamoDB 7.1.6 Amazon SQS 7.1.7 Amazon EMR 7.2 Python for Google Cloud Platform 7.2.1 Google Compute Engine 7.2.2 Google Cloud Storage 7.2.3 Google Cloud SQL 7.2.4 Google BigQuery 7.2.5 Google Cloud Datastore 7.2.6 Google App Engine 7.3 Python for Windows Azure 7.3.1 Azure Cloud Service 7.3.2 Azure Virtual Machines 7.3.3 Azure Storage 7.4 Python for MapReduce 7.5 Python Packages of Interest 7.5.1 JSON 7.5.2 XML 7.5.3 HTTPLib & URLLib 7.5.4 SMTPLib 7.5.5 NumPy 7.5.6 Scikit-leam 7.6 Python Web Application Framework - Django 7.6.1 Django Architecture 7.6.2 Starting Development with Django 7.6.3 Django Case Study - Blogging App 7.7 Designing a RESTful Web API 8 Cloud Applicatiou Developmeut iu Pythou 8.1 Design Approaches 8.1.1 Design Methodology for laaS Service Model 8.1.2 Design Methodology for PaaS Service Model 8.2 Image Processing App 8.3 Document Storage App 8.4 MapReduce App 8.5 Social Media Analytics App Hi ADVANCED TOPICS 9 Big Data Analytics 9.1 Introduction 9.2 Clustering Big Data 9.2.1 k-Means Clustering 9.2.2 DBSCAN Clustering 9.2.3 Parallelizing Clustering Algorithms Using MapReduce 9.3 Classification of Big Data 9.3.1 Naive Bayes 9.3.2 Decision Trees 9.3.3 Random Forest 9.3.4 Support Vector Machine 9.4 Recommendation Systems 10 Multimedia Cloud 10.1 Introduction 10.2 Case Study: Live Video Streaming App 10.3 Streaming Protocols 10.3.1 RTMP Streaming 10.3.2 HTTP Live Streaming 10.3.3 HTTP Dynamic Streaming 10.4 Case Study: Video Transcoding App 11 Cloud Application Benchmarking & Ihning 11.1 Introduction 11.1.1 Trace Collection/Generation 11.1.2 Workload Modeling 11.1.3 Workload Specification 11.1.4 Synthetic Workload Generation 11.1.5 User Emulation vs Aggregate Workloads 11.2 Workload Characteristics 11.3 Application Performance Metrics 11.4 Design Considerations for a Benchmarking Methodology 11.5 Benchmarking Tools 11.5.1 Types of Tests 11.6 Deployment Prototyping 11.7 Load Testing & Bottleneck Detection Case Study 11.8 Hadoop Benchmarking Case Study 12 Cloud Security 12.1 Introduction 12.2 CS A Cloud Security Architecture 12.3 Authentication 12.3.1 Single Sign-on (SSO) 12.4 Authorization 12.5 Identity & Access Management 12.6 Data Security 12.6.1 Securing Data at Rest 12.6.2 Securing Data in Motion 12.7 Key Management 12.8 Auditing 13 Cloud for Industry, Healthcare & Education 13.1 Cloud Computing for Healthcare 13.2 Cloud Computing for Energy Systems 13.3 Cloud Computing for Transportation Systems 13.4 Cloud Computing for Manufacturing Industry 13.5 Cloud Computing for Education | ||
| 650 |
_aComputer Sciene _915714 |
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| 650 |
_aCloud computing _915715 |
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| 942 |
_cWB16 _02 |
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