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
Energy-efficient migration and consolidation algorithm of virtual machines in data centers for cloud computing
TL;DR: A dynamic energy-efficient virtual machine (VM) migration and consolidation algorithm based on a multi-resource energy- efficient model that can minimize energy consumption with Quality of Service guarantee and shows better energy efficiency in data center for cloud computing.
Journal ArticleDOI
Energy Efficient Big Data Networks: Impact of Volume and Variety
TL;DR: The results revealed that up to 52% and 47% power saving can be achieved by the EEBDN approach compared to the CBDN approach, under the impact of volume and variety scenarios, respectively.
Journal ArticleDOI
Adaptive Energy-Aware Algorithms for Minimizing Energy Consumption and SLA Violation in Cloud Computing
Rahul Yadav,Weizhe Zhang,Omprakash Kaiwartya,Prabhat Ranjan Singh,Ibrahim A. Elgendy,Yu-Chu Tian +5 more
TL;DR: Three adaptive models, namely, gradient descent-based regression (Gdr), maximize correlation percentage (MCP), and bandwidth-aware selection policy (Bw), that can significantly minimize energy consumption and SLA violation are proposed.
Journal ArticleDOI
Recent advancements in resource allocation techniques for cloud computing environment: a systematic review
Syed Hamid Hussain Madni,Muhammad Shafie Abd Latiff,Yahaya Coulibaly,Shafi’i Muhammad Abdulhamid +3 more
TL;DR: This review investigated resource allocation schemes and algorithms used by different researchers and categorized these approaches according to the problems addressed schemes and the parameters used in evaluating different approaches, observing that different schemes did not consider some important parameters and enhancement is required to improve the performance of the existing schemes.
Journal ArticleDOI
Mapping Virtual Machines onto Physical Machines in Cloud Computing: A Survey
Ilia Pietri,Rizos Sakellariou +1 more
TL;DR: The article aims at both identifying and classifying research done in the area adopting a categorization that can enhance understanding of the mapping problem and how it can be addressed in different scenarios and through different optimization techniques.
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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