Autonomic Virtualized Environments
ICAS '06 Proceedings of the International Conference on Autonomic and Autonomous Systems
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Managing energy-performance tradeoffs for multithreaded applications on multiprocessor architectures
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
The Net’s Going Green: Multipronged Approach Might Save Costs, Energy — and the Climate
IEEE Internet Computing
Green Supercomputing Comes of Age
IT Professional
Autonomic power and performance management for computing systems
Cluster Computing
Energy-aware server provisioning and load dispatching for connection-intensive internet services
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
ACDC '09 Proceedings of the 1st workshop on Automated control for datacenters and clouds
Energy-Efficient Cluster Computing via Accurate Workload Characterization
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Cooperative power-aware scheduling in grid computing environments
Journal of Parallel and Distributed Computing
From Green Computing to Sustainable IT: Developing a Sustainable Service Orientation
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
IEEE Transactions on Parallel and Distributed Systems
WattApp: an application aware power meter for shared data centers
Proceedings of the 7th international conference on Autonomic computing
JustRunIt: experiment-based management of virtualized data centers
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
Autonomic performance-per-watt management (APM) of cloud resources and services
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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The characteristic of dramatic fluctuation in the resource provisioning for real-time applications calls for an elastic delivery of computing services. Current data center deployment schemes, which feature a strong tie between servers and applications, are increasingly challenged to ensure power efficiency in terms of multiple peak loads provisioning, optimal average resources utilization, variable runtime workloads profiling, data center manageability and overhead control on the data center Total Cost of Ownership (TCO). Researchers have exploited paradigms such as virtualization and migration for large-scale computing systems, however, there is still a long way before we can optimally address the power-performance trade-off. This paper provides an autonomic power management scheme for the resource provisioning process for large-scale data centers while meeting the Service-Level Agreement (SLA) and power requirements. The system status is continuously monitored using a cross-layered hierarchy to optimally scale up and down the virtual machine resources such that power and performance can be optimized. We have applied our technique to autonomically manage high performance platforms with multi-core processors and multi rank memory subsystems. Our experimental results show around 56.25 percent platform energy savings for memory-intensive workload, 63.75 percent platform energy savings for processor-intensive workload and 47.5 percent platform energy savings for mixed workload while maintaining.