Analysis of server utilization

Understanding of behavioural aspects of workloads has existed since the birth of grid computing in the early 80’s. It is currently and widely important as studies to support fast solutions for efficient energy computing solutions is underway. Cloud computing is a business concept for online convenient on-demand scalable internet services as in has quickly grown as a high profile computing paradigm that shares with ubiquitous grid mobile and utility computing. In this project we study the 1st ever Google data centre cloud traces with interest of furthering our understanding of server utilisation and resource consumption within data centre clouds. To achieve this we explore the 1st ever trace logs of the Google data centres via a combination of both coarse grain and fine grain analysis that include discovering interesting trace log statistical properties characterising the data trace and studying the impacts of the unrealistic task behaviour onto the data centre energy efficiency.