Foss and Cloud Computing Laboratory detail syllabus for Information Technology (It), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (IT8711), Category (PC), Contact Periods/week (4), Teaching hours/week (0), Practical Hours/week (0). The total course credits are 4.
For all other it 7th sem syllabus for be 2017 regulation anna univ you can visit It 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for foss and cloud computing laboratory is as follows.”
Course Objective:
- To learn and develop applications using gcc and make
- To learn and use version control systems
- To develop web applications in cloud
- To learn the design and development process involved in creating a cloud based application
- To learn to implement and use parallel programming using Hadoop
- Use gcc to compile c-programs. Split the programs to different modules and create an application using make command.
- Use version control systems command to clone, commit, push, fetch, pull, checkout, reset, and delete repositories.
- Install Virtualbox/VMware Workstation with different flavours of linux or windows OS on top of windows7 or 8.
- Install a C compiler in the virtual machine created using virtual box and execute Simple Programs
- Install Google App Engine. Create hello world app and other simple web applications using python/java.
- Use GAE launcher to launch the web applications.
- Simulate a cloud scenario using CloudSim and run a scheduling algorithm that is not present in CloudSim.
- Find a procedure to transfer the files from one virtual machine to another virtual machine.
- Find a procedure to launch virtual machine using trystack (Online Openstack Demo Version)
- Install Hadoop single node cluster and run simple applications like wordcount.
Course Outcome:
On completion of this course, the students will be able to:
- Configure various virtualization tools such as Virtual Box, VMware workstation.
- Design and deploy a web application in a PaaS environment.
- Learn how to simulate a cloud environment to implement new schedulers.
- Install and use a generic cloud environment that can be used as a private cloud.
- Manipulate large data sets in a parallel environment.
For detail syllabus of all other subjects of BE It, 2017 regulation do visit It 7th Sem syllabus for 2017 Regulation.
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