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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Journal ArticleDOI
A multi-objective approach for energy-efficient and reliable dynamic VM consolidation in cloud data centers
TL;DR: In this paper , a discrete-time Markov chain (DTMC) model is introduced to predict future resource usage and a multi-objective VM placement approach is proposed to achieve the optimal VMs to PMs mapping using the ε-dominance-based multiobjective artificial bee colony (ε-MOABC) algorithm which can efficiently balance the overall energy consumption, resource wastage, and the system reliability to meet SLA and QoS requirements.
Journal ArticleDOI
Cloud computing adoption: A multiple case study
TL;DR: The results indicate that the decisive factors influencing the decision to adopt cloud computing are reliability, scalability and cost savings, while the factors security and privacy were also considered relevant, however, interoperability, network access and sustainability were found to be irrelevant in its adoption.
Journal ArticleDOI
A New Approach to the Cloud-Based Heterogeneous MapReduce Placement Problem
Xiaoyong Xu,Maolin Tang +1 more
TL;DR: This paper proposes a new approach to the heterogeneous MapReduce placement optimization problem, which is transformed into a constrained combinatorial optimization problem and is solved by an innovative constructive algorithm.
Proceedings ArticleDOI
A Power Management Approach to Reduce Energy Consumption for Edge Computing Servers
TL;DR: A linear power model for the EdgeCloudSim simulator to measure the energy consumption of edge network servers and a simple dynamic power management model used to minimize power consumption in the edge network by switching the edge servers on and off based on provisioned application needs are introduced.
Journal ArticleDOI
A Probabilistic Model for Finding an Optimal Host Framework and Load Distribution in Cloud Environment
TL;DR: OPH-LB (Optimal Physical Host with effective Load Balancing) framework is proposed to model the service of client’s requests in this IaaS architecture with heterogeneous virtual machines and has improved the throughput, reduced the failure rate and optimized the attainment of cloud data centers.
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.
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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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