Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Integrated resource management for cluster-based Internet services
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
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
A reinforcement learning approach to dynamic resource allocation
Engineering Applications of Artificial Intelligence
JouleSort: a balanced energy-efficiency benchmark
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies
IEEE Internet Computing
Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Autonomic power and performance management for computing systems
Cluster Computing
Power-aware dynamic placement of HPC applications
Proceedings of the 22nd annual international conference on Supercomputing
Autonomic QoS control in enterprise Grid environments using online simulation
Journal of Systems and Software
GreenCloud: a new architecture for green data center
ICAC-INDST '09 Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session
An energy case for hybrid datacenters
ACM SIGOPS Operating Systems Review
Power Aware Resource Allocation in Virtualized Environments through VM Behavior Identification
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
On the utility of DVFS for power-aware job placement in clusters
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers
Future Generation Computer Systems
Energy-aware service allocation
Future Generation Computer Systems
Energy: a new criteria for performances in large scale distributed systems
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
Towards autonomic detection of SLA violations in Cloud infrastructures
Future Generation Computer Systems
An energy aware framework for virtual machine placement in cloud federated data centres
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
A swarm-inspired data center consolidation methodology
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
ACM SIGOPS Operating Systems Review
Concurrency and Computation: Practice & Experience
Energy usage and carbon emission optimization mechanism for federated data centers
E2DC'12 Proceedings of the First international conference on Energy Efficient Data Centers
Exploring sustainability research in computing: where we are and where we go next
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Autonomic performance-per-watt management (APM) of cloud resources and services
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
An energy management system for cluster infrastructures
Computers and Electrical Engineering
Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
A study on combinational effects of job and resource characteristics on energy consumption
Multiagent and Grid Systems
Hi-index | 0.00 |
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better and more efficient power-aware resource management strategies. There is a growing interest in "Green" IT and there is still a big gap in this area to be covered. In order to obtain an energy-efficient data center, we propose a framework that provides an intelligent consolidation methodology using different techniques such as turning on/off machines, power-aware consolidation algorithms, and machine learning techniques to deal with uncertain information while maximizing performance. For the machine learning approach, we use models learned from previous system behaviors in order to predict power consumption levels, CPU loads, and SLA timings, and improve scheduling decisions. Our framework is vertical, because it considers from watt consumption to workload features, and cross-disciplinary, as it uses a wide variety of techniques. We evaluate these techniques with a framework that covers the whole control cycle of a real scenario, using a simulation with representative heterogeneous workloads, and we measure the quality of the results according to a set of metrics focused toward our goals, besides traditional policies. The results obtained indicate that our approach is close to the optimal placement and behaves better when the level of uncertainty increases.