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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Flexible Modeling of Data Center Networks for Capacity Management
TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about concrete mechanical properties such as E-modulus and compressive strength.
Proceedings ArticleDOI
Workload Management for Power Efficiency in Heterogeneous Data Centers
TL;DR: An in-depth analysis of cloud workloads is presented, highlighting where energy efficiency can be obtained and the microservices paradigm is presented as a way of intelligently partitioning applications in such a way that different components can take advantage of the heterogeneous hardware, thus providing energy efficiency.
Journal ArticleDOI
Multi-Objective Service Placement Scheme Based on Fuzzy-AHP System for Distributed Cloud Computing
A-Young Son,Eui-Nam Huh +1 more
TL;DR: An efficient service placement system named fuzzy- analytical hierarchical process is proposed and the metric that enables the decision and selection of a machine in the distributed cloud environment is analyzed, to maximize energy efficiency, maximize performance, and reduce costs.
Journal ArticleDOI
A Proposed Approach for Efficient Energy Utilization in Cloud Data Center
Akhil Goyal,Navdeep S. Chahal +1 more
TL;DR: In this article, a particle swarm optimization (PSO) algorithm is proposed to solve the problem of load balancing in cloud data centers, and a different nature inspired algorithm known as Firefly Algorithm (FA) is also proposed.
Journal ArticleDOI
Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention
Fermin-Alberto Armenta-Cano,Andrei Tchernykh,Jorge M. Cortés-Mendoza,Ramin Yahyapour,A. Yu. Drozdov,Pascal Bouvry,Dzmitry Kliazovich,Arutyun Avetisyan,Sergio Nesmachnow +8 more
TL;DR: This paper proposes an optimization model and presents new approach to resource allocation with job concentration taking into account types of applications and heterogeneous workloads that could include CPU-intensive, diskintensive, I/O- intensive, memory-intensive and network-intensive applications.
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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