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
Power-aware resource allocation in computer clusters using dynamic threshold voltage scaling and dynamic voltage scaling: comparison and analysis
TL;DR: This paper analyzes and compares eight scheduling techniques in terms of energy consumption and makespan and utilization of the dynamic threshold-voltage scaling (DTVS) for the reduction of cumulative power utilized by each node in the cluster.
Journal ArticleDOI
EATSDCD: A green energy-aware scheduling algorithm for parallel task-based application using clustering, duplication and DVFS technique in cloud datacenters
TL;DR: A dual-phase algorithm called EATSDCD which is an energy efficient time aware which uses the combination of duplication and clustering strategies to schedule the precedence-constrained task graph on datacenter processors through DVFS is proposed.
Journal ArticleDOI
Resource Scheduling Based on Improved Spectral Clustering Algorithm in Edge Computing
TL;DR: A user-oriented improved spectral clustering scheduling algorithm (ISCM) is proposed based on the improved k-means algorithm that solves the problem that the clustering result is sensitive to the initial value and realizes the reclustering, which makes the obtained clustering results more stable.
Journal ArticleDOI
Multi-disciplinary green IT archival analysis: A pathway for future studies
Darshana Sedera,Sachithra Lokuge,Bonny Tuskeen Tushi,Felix Ter Chian Tan,Felix Ter Chian Tan +4 more
TL;DR: A consolidated multidisciplinary view of the salient findings of each research discipline for green IT research to reach its full potential is provided and information systems researchers are encouraged to develop an effective cumulative tradition of research.
Journal ArticleDOI
Energy management strategy in cloud computing: a perspective study
Taha Chaabouni,Maher Khemakhem +1 more
TL;DR: This paper proposes energy-saving technique which uses a novel load detecting policy which is based on the median absolute deviation method which uses the median and the standard deviation to calculate upper and lower thresholds which aim to classify hosts into either overloaded or under-loaded state.
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
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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.
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Live migration of virtual machines
Christopher Clark,Keir Fraser,Steven Hand,Jacob Gorm Hansen,Eric Jul,Christian Limpach,Ian Pratt,Andrew Warfield +7 more
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