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CBIT(A) With effect from the academic year 2023-24
Department of Computer Engineering and
Technology
SYLLABUS
20CSE38
CLOUD COMPUTING LAB
(Professional Elective-IV Lab)
L T P C
2- 0- 0- 2
Instruction 2 Hours per week
Duration of End Examination 3 Hours
Semester End Examination 50 Marks
Continuous Internal Evaluation 50 Marks
Credits 1
Course Objectives: The objectives of this course are to
1. Prepare the students for setting up cloud environment.
2. Expose students to virtual environment to manage resources.
3. Expertise students to manage resources and applications in cloud environment.
Course Outcomes: On successful completion of the course, students will be able to
1. Configure various virtualization tools such as VirtualBox/VMware Workstation.
2. Manage resources in virtual machines.
3. Design, implement and Deploy applications in PaaS environment.
4. Demonstrate Unix and Hadoop commands in VM.
5. Explore the features of Hadoop.
6. Install Hadoop single node cluster and run simple applications like WordCount.
List of Experiments:
1. Virtual Machine Creation using VirtualBox.
2. Virtual Block to VM – adding virtual block to VM.
3. Execution of C/Python program in VM.
4. VM Migration.
5. Hadoop Installation.
6. Creation of one Node Hadoop Cluster.
7. Unix commands in VM.
8. HDFS commands in VM.
9. Interactive API using Hadoop – WordCount using Hadoop.
CBIT(A) With effect from the academic year 2023-24
Text Books:
1. Anthony T Velte, Toby J, Robert Elenpeter, “Cloud Computing – A Practical
Approach”, McGra Hill, 2010.
Online Resources:
1. https://www.udemy.com/course/cloud-computing-lab-programs/

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6.Lab Syllabus.docx

  • 1. CBIT(A) With effect from the academic year 2023-24 Department of Computer Engineering and Technology SYLLABUS 20CSE38 CLOUD COMPUTING LAB (Professional Elective-IV Lab) L T P C 2- 0- 0- 2 Instruction 2 Hours per week Duration of End Examination 3 Hours Semester End Examination 50 Marks Continuous Internal Evaluation 50 Marks Credits 1 Course Objectives: The objectives of this course are to 1. Prepare the students for setting up cloud environment. 2. Expose students to virtual environment to manage resources. 3. Expertise students to manage resources and applications in cloud environment. Course Outcomes: On successful completion of the course, students will be able to 1. Configure various virtualization tools such as VirtualBox/VMware Workstation. 2. Manage resources in virtual machines. 3. Design, implement and Deploy applications in PaaS environment. 4. Demonstrate Unix and Hadoop commands in VM. 5. Explore the features of Hadoop. 6. Install Hadoop single node cluster and run simple applications like WordCount. List of Experiments: 1. Virtual Machine Creation using VirtualBox. 2. Virtual Block to VM – adding virtual block to VM. 3. Execution of C/Python program in VM. 4. VM Migration. 5. Hadoop Installation. 6. Creation of one Node Hadoop Cluster. 7. Unix commands in VM. 8. HDFS commands in VM. 9. Interactive API using Hadoop – WordCount using Hadoop.
  • 2. CBIT(A) With effect from the academic year 2023-24 Text Books: 1. Anthony T Velte, Toby J, Robert Elenpeter, “Cloud Computing – A Practical Approach”, McGra Hill, 2010. Online Resources: 1. https://www.udemy.com/course/cloud-computing-lab-programs/