Cloud computing: a hands-on approach/ (Record no. 2227)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06736nam a2200169 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781494435141 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004.6782 |
| Item number | BAH/C |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bahga, Arshdeep. |
| 245 ## - TITLE STATEMENT | |
| Title | Cloud computing: a hands-on approach/ |
| Statement of responsibility, etc. | Arshdeep Bahga and Vijay Madisetti |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Hyderabad : |
| Name of publisher, distributor, etc. | Universities Press , |
| Date of publication, distribution, etc. | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 454 p. : |
| Other physical details | ill. ; |
| Dimensions | 26 cm. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PART I INTRODUCTION & CONCEPTS<br/>1 Introduction to Cloud Computing<br/>1.1 Introduction<br/>1.1.1 Definition of Cloud Computing<br/>1.2 Characteristics of Cloud Computing<br/>1.3 Cloud Models<br/>1.3.1 Service Models<br/>1.3.2 Deployment Models<br/>1.4 Cloud Services Examples<br/>1.4.1 laaS: Amazon EC2, Google Compute Engine, Azure VMs<br/>1.4.2 PaaS: Google App Engine<br/>1.4.3 SaaS: Salesforce<br/>1.5 Cloud-based Services & Applications<br/>1.5.1 Cloud Computing for Healthcare<br/>1.5.2 Cloud Computing for Energy Systems<br/>1.5.3 Cloud Computing for Transportation Systems<br/>1.5.4 Cloud Computing for Manufacturing Industry<br/>1.5.5 Cloud Computing for Government<br/>1.5.6 Cloud Computing for Education<br/>1.5.7 Cloud Computing for Mobile Communication<br/>Cloud Concepts & Technologies<br/>2.1 Wtualization<br/>2.2 Load Balancing<br/>2.3 Scalability & Elasticity<br/>2.4 Deployment<br/>2.5 Replication<br/>2.6 Monitoring<br/>2.7 Software Defined Networking<br/>2.8 Network Function Virtualization<br/>2.9 MapReduce<br/>2.10 Identity and Access Management<br/>2.11 Service Level Agreements<br/>2.12 Billing<br/>Cloud Services & Platforms<br/>3.1 Compute Services<br/>3.1.1 Amazon Elastic Compute Cloud<br/>3.1.2 Google Compute Engine<br/>3.1.3 Windows Azure Virtual Machines<br/>3.2 Storage Services<br/>3.2.1 Amazon Simple Storage Service<br/>3.2.2 Google Cloud Storage<br/>3.2.3 Windows Azure Storage<br/>3.3 Database Services<br/>3 3,1 Amazon Relational Data Store<br/>3,3.2 Amazon DynamoDB<br/>3 3 3 Google Cloud SQL<br/>3 3 4 Google Cloud Datastore<br/>3.3.5 Windows Azure SQL Database<br/>3.3.6 Windows Azure Table Service<br/>3.4 Application Services<br/>3.4.1 Application Runtimes & Frameworks<br/>3.4.2 Queuing Services<br/>3.4.3 Email Services<br/>3.4.4 Notification Services<br/>3.4.5 Media Seryices<br/>3 5 Content Delivery Services<br/>3 5 1 Amazon CloudFront<br/>3 5 2 Windows Azure Content Delivery Network<br/>3.6 Analytics Services<br/>3.6.1 Amazon Elastic MapReduce<br/>3.6.2 Google MapReduce Service<br/>3.6.3 Google BigQuery<br/>3.6.4 Windows Azure HDInsig^it<br/>3.7 Deployment & Management Services<br/>3.7.1 Amazon Elastic Beanstalk<br/>3.7.2 Amazon CloudFormation<br/>3.8 Identity & Access Management Services<br/>3.8.1 Amazon Identity & Access Management<br/>3.8.2 Windows Azure Active Directory<br/>3.9 Open Source Private Cloud Software<br/>3.9.1 CloudStack<br/>3.9.2 Eucalyptus<br/>3.9.3 OpenStack<br/>4 Hadoop & MapReduce<br/>4.1 Apache Hadoop<br/>4.2 Hadoop MapReduce Job Execution<br/>4.2.1 NameNode<br/>4.2.2 Secondary NameNode<br/>4.2.3 JobTracker<br/>4.2.4 TaskTracker<br/>4.2.5 DataNode<br/>4.2.6 MapReduce Job Execution Workflow<br/>4.3 Hadoop Schedulers<br/>4.3.1 FIFO<br/>4.3.2 Fair Scheduler<br/>4.3.3 Capacity Scheduler<br/>4.4 Hadoop Cluster Setup<br/>4.4.1 Install Java<br/>4.4.2 Install Hadoop<br/>4.4.3 Networking<br/>4.4.4 Configure Hadoop<br/>4.4.5 Starting and Stopping Hadoop Cluster<br/>II DEVELOPING FOR CLOUD<br/>5 Cloud Application Design<br/>5.1 Introduction<br/>5.2 Design Considerations for Cloud Applications<br/>5.2.1 Scalability<br/>5.2.2 Reliability & Availability<br/>5.2.3 Security<br/>5.2.4 Maintenance & Upgradation<br/>5.2.5 Performance<br/>5.3 Reference Architectures for Cloud Applications<br/>5.4 Cloud Application Design Methodologies<br/>5.4.1 Service Oriented Architecture<br/>5.4.2 Cloud Component Model<br/>5.4.3 laaS, PaaS and SaaS Services for Cloud Applications<br/>5.4.4 Model View Controller<br/>5.4.5 RESTful Web Services<br/>5.5 Data Storage Approaches<br/>5.5.1 Relational (SQL) Approach<br/>5.5.2 Non-Relational (No-SQL) Approach<br/>Python Basics<br/>6.1 Introduction<br/>6.2 Installing Python<br/>6.3 Python Data Types & Data Structures<br/>6.3.1 Numbers<br/>6.3.2 Strings<br/>6.3.3 Lists<br/>6.3.4 Tuples<br/>6.3.5 Dictionaries<br/>6.3.6 Type Conversions<br/>6.4 Control Flow<br/>6.4.1 if<br/>6.4.2 for<br/>6.4.3 while<br/>6.4.4 range<br/>6.4.5 break/continue<br/>6.4.6 pass<br/>6.5 Functions<br/>6.6 Modules<br/>6.7 Packages<br/>6.8 File Handling<br/>^ g Date/Time Operations<br/>6 10 Classes 163<br/>7 Python for Cloud<br/>7.1 Python for Amazon Web Services<br/>7.1.1 Amazon EC2<br/>7.1.2 Amazon AutoScaling<br/>7.1.3 Amazon S3<br/>7.1.4 Amazon RDS<br/>7.1.5 Amazon DynamoDB<br/>7.1.6 Amazon SQS<br/>7.1.7 Amazon EMR<br/>7.2 Python for Google Cloud Platform<br/>7.2.1 Google Compute Engine<br/>7.2.2 Google Cloud Storage<br/>7.2.3 Google Cloud SQL<br/>7.2.4 Google BigQuery<br/>7.2.5 Google Cloud Datastore<br/>7.2.6 Google App Engine<br/>7.3 Python for Windows Azure<br/>7.3.1 Azure Cloud Service<br/>7.3.2 Azure Virtual Machines<br/>7.3.3 Azure Storage<br/>7.4 Python for MapReduce<br/>7.5 Python Packages of Interest<br/>7.5.1 JSON<br/>7.5.2 XML<br/>7.5.3 HTTPLib & URLLib<br/>7.5.4 SMTPLib<br/>7.5.5 NumPy<br/>7.5.6 Scikit-leam<br/>7.6 Python Web Application Framework - Django<br/>7.6.1 Django Architecture<br/>7.6.2 Starting Development with Django<br/>7.6.3 Django Case Study - Blogging App<br/>7.7 Designing a RESTful Web API<br/>8 Cloud Applicatiou Developmeut iu Pythou<br/>8.1 Design Approaches<br/>8.1.1 Design Methodology for laaS Service Model<br/>8.1.2 Design Methodology for PaaS Service Model<br/>8.2 Image Processing App<br/>8.3 Document Storage App<br/>8.4 MapReduce App<br/>8.5 Social Media Analytics App<br/>Hi ADVANCED TOPICS<br/>9 Big Data Analytics<br/>9.1 Introduction<br/>9.2 Clustering Big Data<br/>9.2.1 k-Means Clustering<br/>9.2.2 DBSCAN Clustering<br/>9.2.3 Parallelizing Clustering Algorithms Using MapReduce<br/>9.3 Classification of Big Data<br/>9.3.1 Naive Bayes<br/>9.3.2 Decision Trees<br/>9.3.3 Random Forest<br/>9.3.4 Support Vector Machine<br/>9.4 Recommendation Systems<br/>10 Multimedia Cloud<br/>10.1 Introduction<br/>10.2 Case Study: Live Video Streaming App<br/>10.3 Streaming Protocols<br/>10.3.1 RTMP Streaming<br/>10.3.2 HTTP Live Streaming<br/>10.3.3 HTTP Dynamic Streaming<br/>10.4 Case Study: Video Transcoding App<br/>11 Cloud Application Benchmarking & Ihning<br/>11.1 Introduction<br/>11.1.1 Trace Collection/Generation<br/>11.1.2 Workload Modeling<br/>11.1.3 Workload Specification<br/>11.1.4 Synthetic Workload Generation<br/>11.1.5 User Emulation vs Aggregate Workloads<br/>11.2 Workload Characteristics<br/>11.3 Application Performance Metrics<br/>11.4 Design Considerations for a Benchmarking Methodology<br/>11.5 Benchmarking Tools<br/>11.5.1 Types of Tests<br/>11.6 Deployment Prototyping<br/>11.7 Load Testing & Bottleneck Detection Case Study<br/>11.8 Hadoop Benchmarking Case Study<br/>12 Cloud Security<br/>12.1 Introduction<br/>12.2 CS A Cloud Security Architecture<br/>12.3 Authentication<br/>12.3.1 Single Sign-on (SSO)<br/>12.4 Authorization<br/>12.5 Identity & Access Management<br/>12.6 Data Security<br/>12.6.1 Securing Data at Rest<br/>12.6.2 Securing Data in Motion<br/>12.7 Key Management<br/>12.8 Auditing<br/>13 Cloud for Industry, Healthcare & Education<br/>13.1 Cloud Computing for Healthcare<br/>13.2 Cloud Computing for Energy Systems<br/>13.3 Cloud Computing for Transportation Systems<br/>13.4 Cloud Computing for Manufacturing Industry<br/>13.5 Cloud Computing for Education |
| 650 ## - SUBJECT | |
| Keyword | Computer Sciene |
| 650 ## - SUBJECT | |
| Keyword | Cloud computing |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | General Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Date last checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 03/06/2016 | 004.6782 BAH/C | P41350 | 15/05/2023 | 13/04/2023 | General Books |