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
Citations
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Cloud Computing: Survey on Energy Efficiency
Toni Mastelic,Ariel Oleksiak,Holger Claussen,Ivona Brandic,Jean-Marc Pierson,Athanasios V. Vasilakos +5 more
TL;DR: This article defines a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users.
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Allocation of Virtual Machines in Cloud Data Centers—A Survey of Problem Models and Optimization Algorithms
TL;DR: The used problem formulations and optimization algorithms are surveyed, highlighting their strengths and limitations, and pointing out areas that need further research.
Journal ArticleDOI
A Descriptive Literature Review and Classification of Cloud Computing Research
Haibo Yang,Mary Tate +1 more
TL;DR: In this article, the authors present a descriptive literature review and classification scheme for cloud computing research, which includes 205 refereed journal articles published since the inception of cloud computing and classify them into four main categories: technological issues, business issues, domains and applications, and conceptualizing cloud computing.
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Optimizing energy consumption for data centers
TL;DR: From multiple perspectives of energy consumption, cost reduction, and environment protection, a comprehensive set of strategies are proposed to maximize data centers’ efficiency and minimize the environmental impact.
Journal ArticleDOI
Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds
TL;DR: This paper proposes a novel rolling-horizon scheduling architecture for real-time task scheduling in virtualized clouds, and develops a novel energy-aware scheduling algorithm named EARH forreal-time, aperiodic, independent tasks.
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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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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