Cloud computing (Record no. 7681)
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| 000 -LEADER | |
|---|---|
| fixed length control field | nam a22 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20181117162719.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 181117b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9788173719233 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AIKTC-KRRC |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | ENG |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | DDC23 |
| Classification number | 004.6782 |
| Item number | BAH/MAD |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 5153 |
| Personal name | Bahga, Arshdeep |
| 245 ## - TITLE STATEMENT | |
| Title | Cloud computing |
| Remainder of title | : A hands on approach |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Hyderabad |
| Name of publisher, distributor, etc. | Universities Press |
| Date of publication, distribution, etc. | 2014 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 454p. |
| Other physical details | | Binding - Paperback | |
| Dimensions | 24.3*18 cm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is written as a textbook on cloud computing for educational programs at colleges. It uses an immersive "hands-on approach" to transfer knowledge to the reader by providing the necessary guidance and knowledge to develop working code for real-world cloud applications.<br/><br/>It is organised into three main parts. Part I covers technologies that form the foundations of cloud computing. These include topics such as virtualization, load balancing, scalability and elasticity, deployment, and replication. Part II introduces the reader to the design and programming aspects of cloud computing. Case studies on design and implementation of several cloud applications in the areas such as image processing, live streaming and social networks analytics are provided. Part III introduces the reader to specialised aspects of cloud computing including cloud application benchmarking, cloud security, multimedia applications and big data analytics. Case studies in areas such as IT, healthcare, transportation, networking and education are provided.<br/><br/>The book contains hundreds of figures and tested code samples that serve to provide a rigorous, "no hype" guide to cloud computing. Review questions and exercises are provided at the end of each chapter. The focus of the book is on getting the reader firmly on track to developing robust cloud applications on their own. Thus, readers can use the exercises to develop their own applications on cloud platforms, such as those from Amazon Web Services, Google Cloud, and Microsoft's Windows Azure.<br/>Additional support is available at the book's website: www.cloudcomputingbook.info<br/>The book can also be used by cloud service providers (companies) for their customer and employee training programs. |
| Expansion of summary note | <br/>Table of Contents<br/><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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Google App Engine |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Hadoop and MapReduce |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Cloud Services |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Python For Cloud |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Cloud applications |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Cloud Security |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Multimedia Cloud |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 5154 |
| Personal name | Madisetti, Vijay |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type | Date last checked out |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Reference | School of Engineering & Technology | School of Engineering & Technology | Reference Section | 13/10/2018 | Medico's Book Aid | 476.00 | 004.6782 BAH/MAD | E14622 | 04/07/2025 | 595.00 | 04/12/2018 | Books | ||||||
| Dewey Decimal Classification | Circulation | School of Engineering & Technology | School of Engineering & Technology | General Stacks | 13/10/2018 | Medico's Book Aid | 476.00 | 3 | 004.6782 BAH/MAD | E14623 | 14/07/2025 | 595.00 | 04/12/2018 | Books | 27/06/2025 |