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
HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets
Raed Abdulkareem Hasan,Mostafa Abdulghafoor Mohammed,Zeyad Hussein Salih,Mohammed Ariff Bin Ameedeen,Nicolae Ţăpuş,Muamer N. Mohammed +5 more
TL;DR: An energy-aware optimization model which describes the required system constraints was presented in this study, and a further proposal for techniques to determine the best overall solution was also made.
Journal ArticleDOI
An Energy Aware Cost Effective Scheduling Framework for Heterogeneous Cluster System
TL;DR: A scheduling framework to execute heterogeneous independent jobs on a HCS and a SLA based negotiation scheme for makespan, energy and cost referred as “Makespan, Energy and Cost Negotiator (MECN)” is introduced.
Proceedings ArticleDOI
Simulation-Based Performance Evaluation of an Energy-Aware Heuristic for the Scheduling of HPC Applications in Large-Scale Distributed Systems
TL;DR: A technique is proposed for the energy-aware scheduling of bag-of-tasks applications with time constraints in a large-scale heterogeneous distributed system and results show that the proposed heuristic not only reduces the energy consumption of the system, but also improves its performance.
Journal ArticleDOI
Energy-efficiency virtual machine placement based on binary gravitational search algorithm
TL;DR: This paper proposes a solution based on Binary gravitational search algorithm (BGSA) for the virtual machine placement in the heterogeneous data center and compared the BGSA method to fit with virtual machines in data centers with particle swarm optimization, First-fits, Best-fit, and worst-fit.
Journal Article
Virtual Machine Consolidation Challenges: A Review
TL;DR: A comprehensive survey of different VM consolidation challenges such as host underload detection, host overload detection, VM selection, VM live migration and VM placement algorithms is presented and a comparison between different state-of-the-art VM consolidations algorithms are presented.
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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