SCHOOL OF POST GRADUATE STUDIES ARBA MINCH INSTITUTE OF TECHNOLOGY FACULTY OF COMPUTING AND SOFTWARE ENGIREERING DEPARTMENT OF COMPUTER SCIENCE AND IT THESIS TITLE

Abstract

The information and communication technology (ICT) sector has been grown exponentially in the modern arena. An essential component of the ICT organizations is constituted by the data centers that are densely populated with redundant servers, improper configuration and disposal. These servers are responsible for emission of high amount Green House Gases (GHGs) and consumes huge amount of energy consumption. There is an enormous discrepancy between the digital technologies within the ‘first world’, compared to developing countries. Developing countries face numerous challenges like building data center with adoption of energy efficient techniques to reduce power consumption in terms of planning, designing, usage and disposal. As a pertinent problem, African continent countries datacenters are still reluctant in energy efficiency. It is obvious that, high resource consumption and improper disposal of electronic waste (e-waste) is one of a critical issue to be addressed within today’s world’s telecom or ganizations. It has been observed that these data centers do not analyze energy efficiency and adopt standard practices during pl anning, designing, usage and dumping processes in data centers. It is possible to intensely reduce the power consumption of typical data centers through appropriate plan, design, usage and disposal strategies. In this research study, Energy efficient data center framework is designed for consideration from strategic planning up to disposal cycle in general and telecom sector as domain specific with combination of real-site observation and simulated analytics. As the results of this research study shows based up on simulation Experiments measured 364.648kwh energy was saved through new developed framework. Energy efficient strategies and technologies are lacking in Ethiopian data centers especially in Telecom Sectors where this study is done with special reference to computing and communication devices and systems. The research has developed a Framework for Energy Efficient Data Center (FEEDC).