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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A packing problem approach to energy-aware load distribution in Clouds
TL;DR: In this article, the authors proposed to model the energy consumption of private clouds, which provides virtual computation services, by a variant of the Bin Packing problem, which is obtained by introducing such constraints as: variable bin size, cost of packing and the possibility of splitting items.
Journal ArticleDOI
Energy-Efficient Web Server Load Balancing
TL;DR: This paper examines the application of energy-efficient load-balancing (or unbalancing) strategies for web server requests sent to a web server farm and shows that they are able to reduce the energy consumption in web server farms, significantly.
Journal ArticleDOI
An energy-efficient cloud system with novel dynamic resource allocation methods
TL;DR: This work deployed an infrastructure platform based on OpenStack and allocated the dynamic resources and proposed the energy saving algorithm, which found that the proposed algorithms cannot just accomplish the proficient use of VMs’ resources but also thrift the energy usage of physical machines.
Proceedings ArticleDOI
A green energy optimized scheduling algorithm for cloud data centers
P. Sanjeevi,P. Viswanathan +1 more
TL;DR: This work introduces a new energy consumption model and new scheduling strategy for Cloud environments and incorporates the module called as certainty and uncertainty scheduling which pledges involuntary relocation of VM to realm the green computing environment.
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Towards Safety-Aware Computing System Design in Autonomous Vehicles.
TL;DR: A `safety score' is proposed as a primary metric for measuring the level of safety in AV computing system design and a perception latency model is proposed, which helps architects estimate the safety score of given architecture and system design without physically testing them in an AV.
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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