k7training

Friday, 4 October 2019
CLOUD COMPUTING LAB Hadoop Deployed in 32 bit Machine
CLOUD COMPUTING LAB
32 bit Virtual Machine
https://drive.google.com/drive/folders/1USRzSI0iIk0Q1bX3dZT1_ak6RLrJTpNW?usp=sharing
Open Nebula - Testing
Netrunner OS Image
https://drive.google.com/file/d/1sjZl0azrKWW6X3vdc0fPd8A0IoInalkL/view?usp=sharing
Monday, 9 September 2019
CLOUD COMPUTING LAB Deployed in Virtual Machine
CLOUD COMPUTING LAB
System Requirements
Windows
- Microsoft® Windows® 7/8/10 (64-bit)
- 3 GB RAM minimum, 8 GB RAM recommended;
- 20 GB of available disk space minimum,
10 GB Recommended (500 MB for Oracle Virtual Box + 9.5 GB for system image) - 1280 x 800 minimum screen resolution
Step 1 :
Download
the Oracle Virtual box and install in your system
Step 2:
Download
the OVA File and deploy it to the Oracle Virtual box
Link
:
User
Name : kesav
Password
:
k7cloud
Root
User Name : root
Password : k7cloud
Execute
the following Experiments
1.
Find procedure to run the virtual machine of different configuration. Check how
many virtual machines can be utilized at particular time.
2.
Find procedure to attach virtual block to the virtual machine and check whether
it holds the data even after the release of the virtual machine.
3.
Install a C compiler in the virtual machine and execute a sample program.
4.
Show the virtual machine migration based on the certain condition from one node
to the other.
5.
Find procedure to install storage controller and interact with it.
Step 3:
Download
the OVA File and deploy it to the Oracle Virtual box
Link
:
User
Name : kesav
Password
:
k7cloud
Root
User Name : root
Password : k7cloud
Execute
the following Experiments
6.
Find procedure to set up the one node Hadoop cluster.
Step 4:
Download
the OVA File and deploy it to the Oracle Virtual box
Link
:
User
Name : kesav
Password
:
k7cloud
Root
User Name : root
Password : k7cloud
Execute
the following Experiments
7.
Mount the one node Hadoop cluster using FUSE.
8.
Write a program to use the API's of Hadoop to interact with it.
9.
Write a wordcount program to demonstrate the use of Map and Reduce tasks
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