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
Energy-Efficient Scheduling Algorithms for Data Center Resources in Cloud Computing
TL;DR: Simulation results show that the proposed distributed VM scheduling algorithms can conserve significant amount of energy compared to state-of-the-art works.
Journal ArticleDOI
Consideration of marginal electricity in real-time minimization of distributed data centre emissions
Thomas Dandres,Thomas Dandres,Reza Farrahi Moghaddam,Reza Farrahi Moghaddam,Kim Khoa Nguyen,Yves Lemieux,Réjean Samson,Mohamed Cheriet +7 more
TL;DR: Results show that load migrations make it possible to minimize marginal GHG emissions of the cloud computing service, and a novel approach to minimizeGHG emissions cloud computing relying on distributed data centres is proposed.
Journal ArticleDOI
iBrownout: An Integrated Approach for Managing Energy and Brownout in Container-Based Clouds
TL;DR: In this paper, the authors proposed an integrated approach to manage energy consumption and brownout in container-based cloud data centers, which reduces about 40, 20, and 10 percent energy than the approach without power-saving techniques, brownout-overbooking approach and auto-scaling approach, respectively, while ensuring QoS.
Journal ArticleDOI
Self-adaptive resource allocation for energy-aware virtual machine placement in dynamic computing cloud
Han-Peng Jiang,Wei-Mei Chen +1 more
TL;DR: An online resource allocation algorithm using VM consolidation to achieve energy efficiency and reduce service-level agreement (SLA) violations of data centers while considering the power usage of servers, the number of migrations, and the path length of migration in DCNs is proposed.
Proceedings ArticleDOI
Balancing the Use of Batteries and Opportunistic Scheduling Policies for Maximizing Renewable Energy Consumption in a Cloud Data Center
TL;DR: This paper explores two fundamental approaches for improving the usage of renewable energy in a small/medium-sized data center based on opportunistic scheduling and Energy Storage Devices, and finds an intermediate solution mixing both approaches in order to achieve a balance in all aspects, implying minimizing the renewable energy losses.
References
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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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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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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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