Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
MIRAGE: storage provisioning in large data centers using balanced component utilizations
ACM SIGOPS Operating Systems Review
Evolution of storage management: transforming raw data into information
IBM Journal of Research and Development
The Greening of IT: How Companies Can Make a Difference for the Environment
The Greening of IT: How Companies Can Make a Difference for the Environment
| Hi-index | 0.00 |
In 2009, IBM launched its Smarter Planet™ initiative, which is based on the paradigm that virtually any physical object, process, or system can be instrumented, interconnected, and infused with intelligence. Because of the increased demand for information technology (IT) to facilitate Smarter Planet solutions, physical data centers have become interconnected, instrumented, and intelligent (i.e., adaptable, scalable, energy efficient, and cost effective). "Green data centers," which are discussed in this paper, are those that make use of facilities and IT integration, resulting in lower energy costs, reduced carbon footprint, and reduced demand for power, space, and cooling resources. This paper reviews energy-efficiency strategies that are being incorporated in eight million square feet of data-center space that IBM operates in support of its customers. These strategies include both a dynamic infrastructure IT initiative and an energy-efficiencies pillar of the IBM New Enterprise Data Center initiative. For example, compared to nonmodular designs, implementation of a modular design to optimize expandable data centers will better match the IT demand with the data-center energy supply. This high-level overview describes the integration of these strategies to create a class of leading-edge IBM data centers and a plan for the optimization of existing data centers.