An adaptive load balancing scheme for web servers
International Journal of Network Management
Managing server energy and operational costs in hosting centers
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Streaming pattern discovery in multiple time-series
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
On building next generation data centers: energy flow in the information technology stack
COMPUTE '08 Proceedings of the 1st Bangalore Annual Compute Conference
ATC'07 2007 USENIX Annual Technical Conference on Proceedings of the USENIX Annual Technical Conference
Sustainable ecosystems: enabled by supply and demand management
ICDCN'11 Proceedings of the 12th international conference on Distributed computing and networking
Classifying defect factors in fabric production via DIFACONN-miner: A case study
Expert Systems with Applications: An International Journal
Introduction to data mining for sustainability
Data Mining and Knowledge Discovery
Live BI: a framework for real time operations management
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
Towards a net-zero data center
ACM Journal on Emerging Technologies in Computing Systems (JETC)
International Journal of Business Information Systems
Cloud computing for environment-friendly data centers
Proceedings of the fourth international workshop on Cloud data management
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A significant amount of energy consumption is now attributed to data centers due to their ever increasing numbers, size and power densities. Thus, there are efforts focused at making a data center more sustainable by reducing its energy consumption and carbon footprint. This requires an end-to-end management approach with requirements derived from service level agreements (SLAs) and a flexible infrastructure that can be closely monitored and finely controlled. The infrastructure can then be manipulated to satisfy the requirements while optimizing for sustainability metrics and total cost of operations. In this paper, we explore the role of data analysis, visualization and knowledge discovery techniques in improving the sustainability of a data center. We present use cases from a large, sensor-rich, state-of-the-art data center on the application of these techniques to the three main sub-systems of a data center, namely, power, cooling and compute. Furthermore, we provide recommendations for where these techniques can be used within these sub-systems for improving sustainability metrics of a data center.