Professor Llorente is a Visiting Professor at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and a Visiting Scholar at FAS Research Computing since August 2016 . Dr. Llorente is a Professor in Computer Architecture and the Head of the Data-intensive Cloud Lab at Complutense University, and co-Founder and Director of he OpenNebula open-source project for cloud computing management.
Dr. Llorente has over 25 years of experience in the field of large-scale distributed systems as a professor, researcher and entrepreneur. His work has dealt with distributed, parallel, and data-intensive computing technologies, and innovative applications of those technologies to business and scientific problems. Methods and software developed under his leadership underpin many large high performance, grid, cloud and edge computing platforms for infrastructure virtualization, and compute intensive and big data processing.
Dr. Llorente is one of the pioneers and world's leading authorities on Cloud Computing. He has held several appointments as cloud expert, strategist and consultant for the European Commission, the World Economic Forum, and several companies and national governments. He has given many keynotes in the main international events, founded and managed several international projects and initiatives, and authored many articles in the leading journals, being one of the top cited authors in the field of Cloud Computing.
His current research focuses on large-scale, distributed cloud systems for data processing. His goal is to push the boundaries of current thinking about Clouds, developing the new data-aware distributed cloud systems and data-centric cloud architectures needed for modern data-intensive applications. Examples are the Edge Computing paradigm and the re-architecting as data centers of the telco central offices that have emerged as key enabling platforms to meet the data communication and processing demands of video streaming, social networking, gaming and Internet of Things.
Dr. Llorente is a IEEE Senior Member. He holds a Ph.D in Computer Science from UCM and an Executive MBA from IE Business School.