Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/9199
Title: | Automating Validation and Testing of Xeon based Server Platform |
Authors: | Ajmera, Shreyansh |
Keywords: | Computer 2017 Project Report 2017 Computer Project Report Project Report 17MCEN 17MCEN17 NT NT 2017 CE (NT) |
Issue Date: | 1-Jun-2019 |
Publisher: | Institute of Technology |
Series/Report no.: | 17MCEN17; |
Abstract: | There is high probability of human error if we do things manually, we are working on the automation where high end server are using Intel Xeon processor. The performance of these server boards is directly proportional to the method used for configuration. By this we can say that these boards are best known configuration dependent. Because of this we came up through the idea of automating this method. So, that possibilities of human error gets negligible. Automation is new boom to technology, for the testing of configurations we use shell script and python in linux environment. Raspberry-Pi, it is single board computer can be used to validate the BKC on server board. Using serial port, communication Rasberry-Pi and server board communication will take place. The test cases written are covering all the major domains such as networking, power and per- formance, stress, memory, security, CPU, USB and driver integration. The performance improvement was 82% compare to the configurations done manually. Scripts are capable of triggering multiple number of test cases in all domains at a same time. As we know there is vast improvement after applying the automation. The future of this automation can be imagined over network mode that is specfic micro-controller would be integrated and test cases would be triggered on the multiple platforms simultaneously using single host over the network. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/9199 |
Appears in Collections: | Dissertation, CE (NT) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
17MCEN17.pdf | 17MCEN17 | 763.67 kB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.