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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Proceedings ArticleDOI
Adaptive energy efficient distributed VoIP load balancing in federated cloud infrastructure
Andrei Tchernykh,Jorge M. Cortés-Mendoza,Johnatan E. Pecero,Pascal Bouvry,Dzmitry Kliazovich +4 more
TL;DR: This work forms the problem and proposes an adaptive load balancing algorithm for distributed computer environments and discusses the energy efficiency of the solution for the domain of VoIP computations on federated clouds.
Proceedings ArticleDOI
A new approach to improve load balancing for increasing fault tolerance and decreasing energy consumption in cloud computing
Ali Moghtadaeipour,Reza Tavoli +1 more
TL;DR: A novel strategy to improve load balancing for increasing fault tolerance and reducing energy consumption via ranking the tasks and virtual machines in cloud computing by fuzzy method is presented.
Proceedings ArticleDOI
Energy optimized VM placement in cloud environment
Amandeep Kaur,Mala Kalra +1 more
TL;DR: The aim of VM placement problem is to put the idle server to low-power consuming mode and to reduce the number of overall migrations in a system, and an algorithm based on MBFD has been proposed for VM placement.
Journal ArticleDOI
An adaptive overload threshold selection process using Markov decision processes of virtual machine in cloud data center
TL;DR: The hybrid processes are summarized as the Markov decision processes based adaptive overload threshold selection algorithm which is effective and efficiency and the solution of the improved Bellman optimality equation by the value iteration method.
Book ChapterDOI
Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing
TL;DR: The main focus of the present research is the design of a model that prevents distributed denial-of-service attacks based on host-based intrusion detection protection systems over hypervisor environments.
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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