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
A measurement-based analysis of the energy consumption of data center servers
TL;DR: The proposed approach is validated by accurately estimating the energy of a map-reduce computation in a Hadoop platform and it is found that the efficiency of the various server components can be maximized by tuning the CPU frequency and the number of active cores as a function of the system and network load.
Proceedings ArticleDOI
Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System
Fahimeh Farahnakian,Adnan Ashraf,Pasi Liljeberg,Tapio Pahikkala,Juha Plosila,Ivan Porres,Hannu Tenhunen +6 more
TL;DR: A distributed controller to perform dynamic VM consolidation to improve the resource utilizations of PMs and to reduce their energy consumption is presented and the ant colony system is used to find a near-optimal VM placement solution based on the specified objective function.
Proceedings ArticleDOI
Interpretation and evaluation of various hybrid energy aware technologies in cloud computing environment — A detailed survey
TL;DR: A combination of Echo-Localization and Hibernation behaviour of bats is formulated in order to conserve energy in an efficient manner in cloud computing.
Journal ArticleDOI
Energy efficient temporal load aware resource allocation in cloud computing datacenters
TL;DR: Joint optimization of power consumption of servers, network communications and cost of migration with workload and server heterogeneity subject to resource and bandwidth constraints through VM placement, which achieves significant power savings compared to the heuristic algorithms.
Journal ArticleDOI
Multi-objective communication-aware optimization for virtual machine placement in cloud datacenters
TL;DR: The simulation results prove that the proposed hybrid meta-heuristic algorithm outperforms against state-of-the-art ACO-based, well-known heuristic-based FFD algorithms, and random-based approach in terms of total power consumption, resource wastage, the total data transfer rate in network, and number of active servers in use.
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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