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JNTU-K B.TECH R19 3-2 Syllabus For Cloud computing PDF 2022

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JNTU-K B.TECH R19 3-2 Syllabus For Cloud computing PDF 2022

Get Complete Lecture Notes for Cloud computing on Cynohub APP

Download the APP Now! ( Click Here )

You will be able to find information about Cloud computing along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Cloud computing after reading this blog. Cloud computing has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Cloud computing can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to Cloud computing are mentioned below in detail. If you are having a hard time understanding Cloud computing or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

Cloud computing Unit One

Systems modeling, Clustering and virtualization

Scalable Computing over the Internet, Technologies for Network based systems, System models for Distributed and Cloud Computing, Software environments for distributed systems and clouds, Performance, Security And Energy Efficiency

Cloud computing Unit Two

Virtual Machines and Virtualization of Clusters and Data Centers

Implementation Levels of Virtualization, Virtualization Structures/ Tools and mechanisms, Virtualization of CPU, Memory and I/O Devices, Virtual Clusters and Resource Management, Virtualization for Data Center Automation.

Get Complete Lecture Notes for Cloud computing on Cynohub APP

Download the APP Now! ( Click Here )

Cloud computing Unit Three

Cloud Platform Architecture

Cloud Platform Architecture

Cloud Computing and service Models, Architectural Design of Compute and Storage Clouds, Public Cloud Platforms, Inter Cloud Resource Management, Cloud Security and Trust Management. Service Oriented Architecture, Message Oriented Middleware.

Cloud Programming and Software Environments

Features of Cloud and Grid Platforms, Parallel & Distributed Programming Paradigms, Programming Support of Google App Engine, Programming on Amazon AWS and Microsoft Azure, Emerging Cloud Software Environments.

Cloud computing Unit Four

Cloud Resource Management and Scheduling

Policies and Mechanisms for Resource Management Applications of Control Theory to Task

Scheduling on a Cloud, Stability of a Two Level Resource Allocation Architecture, Feedback Control Based on Dynamic Thresholds. Coordination of Specialized Autonomic Performance

Managers, Resource Bundling, Scheduling Algorithms for Computing Clouds, Fair Queuing, Start Time Fair Queuing, Borrowed Virtual Time, Cloud Scheduling Subject to Deadlines, Scheduling MapReduce Applications Subject to Deadlines.

Cloud computing Unit Five

Storage Systems

Storage Systems

Evolution of storage technology, storage models, file systems and database, distributed file systems, general parallel file systems. Google file system. Apache Hadoop, Big Table, Megastore, Amazon Simple Storage Service (S3)

Cloud computing Course Objectives

 The cloud environment, building software systems.

 Components that scale to millions of users in modern internetcloud concepts capabilities across the various cloud service models including Iaas, Paas, Saas,

 Developing cloud based software applications on top of cloud platforms.

Cloud computing Course Outcomes

After the completion of the course the student should be able to:

 understanding the key dimensions of the challenge of Cloud Computing

 assessment of the economics , financial, and technological implications for selecting cloud computing for own organization

 assessing the financial, technological, and organizational capacity of employer’s for actively initiating and installing cloud-based applications.

 assessment of own organizations’ needs for capacity building and training in cloud computing-related IT areas

Cloud computing Text Books

1. Distributed and Cloud Computing, Kai Hwang, Geoffry C. Fox, Jack J. Dongarra MK Elsevier.

2. Cloud Computing, Theory and Practice, Dan C Marinescu, MK Elsevier.

3. Cloud Computing, A Hands on approach, ArshadeepBahga, Vijay Madisetti, University Press

Cloud computing Reference Books

1. Cloud Computing, A Practical Approach, Anthony T Velte, Toby J Velte, Robert Elsenpeter, TMH

2. Mastering Cloud Computing, Foundations and Application Programming, Raj Kumar Buyya, Christen vecctiola, S Tammaraiselvi, TMH

Scoring Marks in Cloud computing

Scoring a really good grade in Cloud computing is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your B.tech examinations . This video will also inform students on how to score high grades in Cloud computing. There are a lot of reasons for getting a bad score in your Cloud computing exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTU-K B.Tech R19 Cloud computing was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

Get Complete Lecture Notes for Cloud computing on Cynohub APP

Download the APP Now! ( Click Here )

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