Energy Efficiency & Consumption in Data Centre by Dynamic Resource Allocation Technique for Green Cloud Computing

Sonawane, Tushar Pramod (2023) Energy Efficiency & Consumption in Data Centre by Dynamic Resource Allocation Technique for Green Cloud Computing. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (1MB) | Preview
Preview	PDF (Configuration manual) Download (1MB) | Preview

Abstract

Data Centre is a designated area where majority of the computer system, the accompanying storages, and other network equipment is placed in a number of racks. Depending on the demands, these racks are often removable and easily serviceable. Since the number of users is now growing exponentially, more processing power must be made available to them. Nowadays, since so many people rely on cloud computing and storage, enormous data centers with lots of equipment are needed. However, because maintaining all of this equipment is not always simple, it is important to make the most of these resources. In the research we've suggested, we're concentrating on reducing energy use while assigning the same amount of computing power. In this manner, the ideal number of resources on the data center are maintained operationally, while all other resources are either shut down or placed in standby. In order to reduce the carbon footprint of these ever-growing data centers, we are recommending dynamic resource allocation technique in order to implement an energy-efficient device reallocation. Green Cloud Computing benefits from energy-efficient data centers because they provide quicker data services with less energy use.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Gupta, Punit UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electricity Supply
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	19 Apr 2023 15:19
Last Modified:	19 Apr 2023 15:19
URI:	https://norma.ncirl.ie/id/eprint/6494

Actions (login required)

View Item