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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SEATS: smart energy-aware task scheduling in real-time cloud computing
TL;DR: The proposed algorithm regulates allocated computing resources of VMs on a host which results in reaching an optimal energy level in the host which has a profound impact on turnaround times of real-time tasks and increases the acceptance rate of arrival tasks.
Journal ArticleDOI
Decentralized and Optimal Resource Cooperation in Geo-Distributed Mobile Cloud Computing
TL;DR: This paper focuses on resource sharing through the cooperation among the service providers in geo-distributed mobile cloud computing, and proposes two different strategies for efficient resource cooperation in geographically distributed data centers.
Journal ArticleDOI
Power-Efficient Provisioning for Online Virtual Network Requests in Cloud-Based Data Centers
TL;DR: This paper first model a power-efficient VN provisioning problem as a mathematical optimization problem, with the objective of minimizing the power consumption by employing mixed-integer programming and proposes a heuristic algorithm to efficiently solve this model since this optimization problem is NP-hard.
Journal ArticleDOI
Energy-efficient and quality-aware VM consolidation method
TL;DR: An effective and efficient VM consolidation approach called EQ-VMC, which effectively reduces energy consumption and improves quality of service (QoS) and shows its superiority to previous VM consolidation methods.
Journal ArticleDOI
Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs
TL;DR: This paper designs truthful, polynomial time auctions to achieve social welfare maximization and/or the provider’s profit maximization with good competitive ratios, and adopts a new application of Fenchel duality in the primal-dual framework, which provides richer structures for convex programs than the commonly used Lagrangian duality.
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
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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.
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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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