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
EMC2: Energy-efficient and multi-resource- fairness virtual machine consolidation in cloud data centres
TL;DR: This work attempts to further reduce the energy consumption of CDCs through the proposed EMC2, an energy-efficient VMC framework that employs the authors' multi-resource-fairness based VM selection heuristics, namely VMNeAR-H (Hierarchical), VM NeAR- D (Directed Hierarchical) and VM Ne AR-E (Euclidean Distance).
Journal ArticleDOI
SLA-aware resource scheduling algorithm for cloud storage
TL;DR: This paper proposes a SLA-aware resource algorithm to enable cloud storage more efficiently, which takes advantage of the back-end node space utilization and I/O throughput comprehensively simultaneously.
Journal ArticleDOI
Hybrid Deep Learning Model Assisted Data Compression and Classification for Efficient Data Delivery in Mobile Health Applications
TL;DR: Compression and classification schemes for data based on a Hybrid Deep Learning Model that represents data characteristics, acquired data, and energy efficiency data delivery dynamics and Multi-Modality Adaptive Compression shows its performance, computational complexity and response to different network states has been experimentally analyzed at lab scale numerical analysis.
Journal ArticleDOI
Green cloud software engineering for big data processing
TL;DR: This research work addresses the gap of conducting real physical cloud infrastructure-based experiments for the evaluation of dynamic VM consolidation approaches which include integrated algorithms from existing relevant research and investigates the performance based on service level agreement (SLA) metrics and energy usage of compute hosts.
Book ChapterDOI
Energy-Aware Prediction-Based Load Balancing Approach with VM Migration for the Cloud Environment
TL;DR: This work proposed an Energy-Aware Virtual Machine Migration algorithm approach to balance the load on PM which consumes less amount of energy and less number of migration as compared to the competitive approach.
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.
Journal ArticleDOI
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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