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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Book ChapterDOI
Modern Optical Data Centers: Design Challenges and Issues
TL;DR: A systematic survey of OPS, OBS, and AOS designs with their pros and cons is discussed, which bridges the gap between previous notable optical switch designs and current switch designs which could route optical packets at high bandwidth and minimum delay.
Proceedings ArticleDOI
Energy-efficient load balancing in a SDN-based Data-Center network
Yannick Carlinet,Nancy Perrot +1 more
TL;DR: This paper proposes a mixed integer linear programming formulation to compute the optimal requests assignment to data centers, with both a multi-period approach and a period-by-period assignment, and provides an efficient on-line algorithm that could be implemented in an operational setting.
Journal ArticleDOI
EAMA: Efficient Adaptive Migration Algorithm for Cloud Data Centers (CDCs)
TL;DR: In this paper, an Efficient Adaptive Migration Algorithm (EAMA) is proposed for effective migration and placement of VMs on the Physical Machines (PMs) dynamically.
A Process Framework for Managing Quality of Service in Private Cloud
TL;DR: A Process Framework for Managing Quality of Service in Private Cloud by Arvind Maskara MISM, Walden University.
Journal ArticleDOI
Integrating I/Os in Cloudsim for Performance and Energy Estimation
TL;DR: This article presents an extension of the IaaS Cloud simulator CloudSim that takes into account the processing of i/o workload generated by virtual machines within a data center, and evaluates the overall performance and energy consumption.
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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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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