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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Journal ArticleDOI
DADTA: A novel adaptive strategy for energy and performance efficient virtual machine consolidation
TL;DR: A comprehensive strategy to reduce energy consumption in large-scale virtualized data centers for edge computing deployment is proposed, which is based on time-series forecasting approach and outperforms other benchmarks.
Proceedings ArticleDOI
Consolidation of VMs to Improve Energy Efficiency in Cloud Computing Environments
Thiago Kenji Okada,Albert P. M. De La Fuente Vigliotti,Daniel Macedo Batista,Alfredo Goldman vel Lejbman +3 more
TL;DR: Three new algorithms for an energy efficient initial VM placement are described, one based on the First Fit Decreasing algorithm, and the other twobased on the Best Fit Decrease algorithm.
Journal ArticleDOI
Evaluating cloud database migration options using workload models
TL;DR: This work introduces a two-stage approach which accurately estimates the migration cost, migration duration and cloud running costs of relational databases.
Journal ArticleDOI
Virtual machine migration algorithm for energy efficiency optimization in cloud computing
TL;DR: Under considering CPU and memory factors, the key three steps for EEOM algorithm, including trigger time, VM selection, and host location, are optimized and show that the algorithm saves 7% energy consumption and reduces 13% SLA violations.
Journal ArticleDOI
Power-conservative server consolidation based resource management in cloud
TL;DR: In this paper, a best-fit heuristic job placement algorithm is proposed in order to increase the job allocation percentage, a worst-fit virtual machine VM placement algorithm was also proposed to place the VMs over the physical machines PMs thereby reducing the number of the latter allotted, and a server consolidation algorithm was proposed to improve power conservation.
References
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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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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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