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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Run-time Architecture Models for Dynamic Adaptation and Evolution of Cloud Applications
Robert Heinrich,Eric Schmieders,Reiner Jung,Wilhelm Hasselbring,Andreas Metzger,Klaus Pohl,Ralf Reussner +6 more
TL;DR: iObserve is proposed, an approach to cloud-based system adaptation and evolution through run-time observation and continuous quality analysis that allows for automated adaptation at run- time and simultaneously supports software evolution.
Journal ArticleDOI
Optimizing energy consumption for a performance-aware cloud data center in the public sector
TL;DR: This study presents a method to minimize energy consumption while processing the same workload, i.e., ultimately reducing the energy consumed by operating servers.
Journal ArticleDOI
A multi-faceted optimization scheduling framework based on the particle swarm optimization algorithm in cloud computing
Mitali Bansal,Sanjay Kumar Malik +1 more
TL;DR: An integrated approach of scheduling model and resource cost timeline model labelled as Multi-Faceted Optimization Scheduling Framework (MFOSF) has been endeavoured and experiment outcomes show MFOSF-PSO method is more effective than the other models peculiarly increases 57.4 % in best case scenario.
Proceedings ArticleDOI
A PSO-Based Energy-Efficient Fault-Tolerant Static Scheduling Algorithm for Real-Time Tasks in Clouds
Pengze Guo,Ming Liu,Zhi Xue +2 more
TL;DR: An energy-efficient fault-tolerant static scheduling algorithm based on particle swarm optimization (EFTP) for real-time tasks in clouds and can achieve good energy efficiency and deadline guarantee ratio is proposed.
Posted Content
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning
TL;DR: Experimental results showed that the proposed heuristic multi-agent reinforcement learning based scheduling outperforms several state-of-art methods, in terms of both reward rate and response times.
References
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Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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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