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
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A Measurement-based Analysis of the Energy Consumption of Data Center Servers
TL;DR: In this article, the authors empirically characterize the power and energy consumption of different types of servers, and find that the efficiency of the various server components can be maximized by tuning the CPU frequency and the number of active cores as a function of the system and network load.
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Resource-aware virtual machine placement algorithm for IaaS cloud
TL;DR: A new VM placement algorithm called RVMP for IaaS cloud is proposed to minimize the power consumption of the IAAS cloud by reducing the number of active PMs and a new technique called resource usage factor to place a VM on a suitable PM so that resources of the PM can utilize efficiently.
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Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems: A Taxonomy and Future Directions
Minxian Xu,Rajkumar Buyya +1 more
TL;DR: A taxonomy of the brownout approach for managing resources and applications adaptively in cloud computing systems is proposed and a comprehensive survey is carried out and identifies open challenges and offers future research directions.
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ETAS: Energy and thermal‐aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation
TL;DR: This work proposes an Energy and Thermal‐Aware Scheduling (ETAS) algorithm that dynamically consolidates VMs to minimize the overall energy consumption while proactively preventing hotspots and outperforms other state‐of‐the‐art algorithms by reducing overall energy without any hotspot creation.
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Application-Aware Workload Consolidation to Minimize Both Energy Consumption and Network Load in Cloud Environments
TL;DR: This paper tackles the problem of virtual machine (VM) placement onto physical servers to jointly optimize two objective functions to minimize the total energy spent within a cloud due to the servers that are commissioned to satisfy the computational demands of VMs.
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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