Cloud computing (Record no. 14351)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 07436nam a22002057a 4500 |
| 005 - DATE & TIME | |
| control field | 20260213095608.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260213b |||||||| |||| 00| 0 eng d |
| 020 ## - ISBN | |
| International Standard Book Number | 9788173719233 |
| Price | 950.00 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | S.X.U.K |
| 041 ## - Language | |
| Language | English |
| 082 ## - DDC NUMBER | |
| Classification number | R 004.6782 BAH(CLO) |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bahga, Arshdeep |
| 245 ## - TITLE STATEMENT | |
| Title | Cloud computing |
| Sub Title | : a hands-on approach |
| Statement of responsibility | Arsheep Bahga, Vijay Madisetti |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Kolkata |
| Name of publisher, distributor, etc | University press |
| Date of publication, distribution, etc | c2014 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 454p. |
| Other Details | P.B. |
| 500 ## - GENERAL NOTE | |
| General note | Table of Content<br/>Part I Introduction and Concepts<br/><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 IaaS: 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/><br/>2 Cloud Concepts & Technologies <br/>2.1 Virtualization <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/><br/>3 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 Services<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 HDInsight <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/><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/><br/> Part II Developing for Cloud <br/><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 IaaS, 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/><br/>6 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/>6.9 Date/Time Operations <br/>6.10 Classes <br/><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-learn <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/><br/>8 Cloud Application Development in Python <br/>8.1 Design Approaches <br/>8.1.1 Design Methodology for IaaS 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/><br/>Part III Advanced Topics <br/><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/><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/><br/>11 Cloud Application Benchmarking & Tuning <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/><br/>12 Cloud Security <br/>12.1 Introduction <br/>12.2 CSA 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/><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 <br/><br/>Appendix-A: Setting up Ubuntu VM <br/>Appendix-B: Setting up Django <br/><br/>Bibliography <br/>Index |
| 650 ## - Subject | |
| Subject | Cloud computing |
| 700 ## - Added Entry Personal Name | |
| Relator Code | auth. |
| Added Entry Personal Name | Madisetti, Vijay |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | REFERENCE COMPUTER SCIENCE |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Koha collection | Location (home branch) | Sublocation or collection (holding branch) | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Serial Enumeration / chronology | Koha issues (times borrowed) | Koha full call number | Barcode (Accession No.) | Koha date last seen | Copy Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Not For Loan | Reference | St. Xavier's University, Kolkata | St. Xavier's University, Kolkata | Reference Section | 02/13/2026 | K.M. Enterprise | 950.00 | S.X.U.K | R 004.6782 BAH(CLO) | UCS13958 | 02/13/2026 | 13958 | 02/13/2026 | REFERENCE COMPUTER SCIENCE | ||||
| Dewey Decimal Classification | St. Xavier's University, Kolkata | St. Xavier's University, Kolkata | Lending Section | 02/13/2026 | K.M. Enterprise | 950.00 | S.X.U.K | 004.6782 BAH(CLO) | CS13959 | 02/13/2026 | 13959 | 02/13/2026 | COMPUTER SCIENCE | ||||||
| Dewey Decimal Classification | St. Xavier's University, Kolkata | St. Xavier's University, Kolkata | Lending Section | 02/13/2026 | K.M. Enterprise | 950.00 | S.X.U.K | 004.6782 BAH(CLO)C1 | CS13960 | 02/13/2026 | 13960 | 02/13/2026 | COMPUTER SCIENCE |