Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
TLDR
An architectural framework and principles for energy-efficient Cloud computing are defined and the proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS).About:
This article is published in Future Generation Computer Systems.The article was published on 2012-05-01 and is currently open access. It has received 2511 citations till now. The article focuses on the topics: Cloud computing & Utility computing.read more
Figures
Fig. 10. The network optimization. 
Fig. 11. The temperature optimization. 
Fig. 9. The optimization over multiple resources. 
Fig. 3. The mean energy consumption by the MM policy for different values of the utilization thresholds. 
Fig. 2. The energy consumption and SLA violations by the ST policy. 
Fig. 8. The distribution of the time until a host is switched to the sleep mode.
Citations
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Proceedings ArticleDOI
The Computational Sprinting Game
TL;DR: This work describes a sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips' thermal limits and the rack's power limits and presents the computational sprinting game, a multi-agent perspective on managing sprints.
Journal ArticleDOI
A simplified power consumption model of information technology (IT) equipment in data centers for energy system real-time dynamic simulation
TL;DR: A power consumption model of IT equipment in data centers with coefficients and modeling script provided for immediate use in data center energy system simulation is introduced and shows that the model can represent the change of power consumption of data center with different IT equipment designs and operation appropriately.
Journal ArticleDOI
A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing
Salil Bharany,Sandeep Sharma,Osamah Ibrahim Khalaf,Ghaida Muttashar Abdulsahib,Abeer S. Al Humaimeedy,Theyazn H. H. Aldhyani,Mashael S. Maashi,Hasan Alkahtani +7 more
TL;DR: A complete systematic mapping analysis on the impact of high energy consumption in cloud data centers and its effect on the environment is conducted and suggestions for future enhancements in green computing are provided.
Energy Modeling Based on Cloud Data Center
Luo Liang,WU Wen-Jun,Zhang Fei +2 more
TL;DR: This paper proposes an accurate energy model to predict energy consumption of single machine using three non-linear models and chooses the polynomial regression with Lasso as it produces the best estimation.
A survey on energy efficient server consolidation through vm live migration
TL;DR: Various protocols, heuristics and architectures have been proposed for the energy aware server consolidation via live migration of VMs and are the main area for this survey.
References
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A view of cloud computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
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Xen and the art of virtualization
Paul Barham,Boris Dragovic,Keir Fraser,Steven Hand,Tim Harris,Alex Ho,Rolf Neugebauer,Ian Pratt,Andrew Warfield +8 more
TL;DR: Xen, an x86 virtual machine monitor which allows multiple commodity operating systems to share conventional hardware in a safe and resource managed fashion, but without sacrificing either performance or functionality, considerably outperform competing commercial and freely available solutions.
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Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
TL;DR: The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.
Proceedings ArticleDOI
Live migration of virtual machines
Christopher Clark,Keir Fraser,Steven Hand,Jacob Gorm Hansen,Eric Jul,Christian Limpach,Ian Pratt,Andrew Warfield +7 more
TL;DR: The design options for migrating OSes running services with liveness constraints are considered, the concept of writable working set is introduced, and the design, implementation and evaluation of high-performance OS migration built on top of the Xen VMM are presented.
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