SCIS Event

Dissertation Defense

Sustainable Resource Management for Cloud Data Centers

Date / Time:

Jun. 15, 2016 @ 10:00 am


Florida International University
ECS: 349


A. S. M. Hasan Mahmud
Florida International University

A. S. M. Hasan Mahmud


In recent years, the demand for data center computing has increased significantly due to the growing popularity of cloud applications and Internet-based services. Today's large data centers host hundreds of thousands of servers and the peak power rating of a single data center may even exceed 100MW. The combined electricity consumption of global data centers accounts for about 3% of worldwide production, raising serious concerns about their carbon footprint. The utility providers and governments are consistently pressuring data center operators to reduce their carbon footprint and energy consumption. While these operators (e.g., Apple, Facebook, and Google) have taken steps to reduce their carbon footprints (e.g., by installing on-site/off-site renewable energy facility), they are aggressively looking for new approaches that do not require expensive hardware installation or modification.

This dissertation focuses on developing algorithms and systems to improve the sustainability in data centers without incurring significant additional operational or setup costs. In the first part, we propose a provably-efficient resource management solution for a self-managed data center to cap and reduce the carbon emission while maintaining satisfactory service performance. Our solution reduces the carbon emission of a self-managed data center to "net-zero" level and achieves carbon neutrality. In the second part, we consider minimizing the carbon emission in a hybrid data center infrastructure that includes geographically distributed self-managed and colocation data centers. This segment identifies and addresses the challenges of resource management in a hybrid data center infrastructure and proposes an efficient distributed solution to optimize the workload and resource allocation jointly in both self-managed and colocation data centers. In the final part, we explore sustainable resource management from cloud service users' point of view. A cloud service user purchases computing resources (e.g., virtual machines) from the service provider and does not have direct control over the carbon emission of the service provider's data center. Our proposed solution encourages a user to take part in sustainable (both economical and environmental) computing by limiting its spending on cloud resource purchase while satisfying its application performance requirements.


A. S. M. Hasan Mahmud is a Ph.D. candidate in the School of Computing and Information Sciences at Florida International University, Miami, Florida. He obtained his M.Sc. degree in Computer Science from the same university in August 2014. Hasan received his B.Sc. degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in January 2008. He is currently working under the supervision of Dr. S.S. Iyengar. His current research interests include resource management in cloud computing, capacity provisioning and autoscaling of virtualized resources. He has received the Best Paper Award in 8th International Workshop in Feedback Computing, 2013. He has published several journal and conference papers on sustainable computing.