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Open AccessJournal ArticleDOI

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).
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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.

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Citations
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Proceedings ArticleDOI

Metaheuristic Approaches to Virtual Machine Placement in Cloud Computing: A Review

TL;DR: A review upon metaheuristic approaches to VMP in cloud computing is presented, finding near-optimal solutions to NP-hard problems.
Book ChapterDOI

Energy-Saving Virtual Machine Scheduling in Cloud Computing with Fixed Interval Constraints

TL;DR: This paper proposes a scheduling algorithm EMinTRE-LDTF to minimize the sum of total busy time of all physical machines that is equivalent to minimize total energy consumption and presents the proved approximation in general and special cases of the scheduling problem.
Journal ArticleDOI

A Study on Energy Consumption of DVFS and Simple VM Consolidation Policies in Cloud Computing Data Centers Using CloudSim Toolkit

TL;DR: This paper simulates the operation of a data center with varying number of hosts across different operating hours and estimates the energy consumption of non-power aware hosts, dynamic voltage and frequency scaling—enabled hosts, and two popular VM consolidation policies, namely—local regression minimum utilization and static threshold random selection.
Proceedings ArticleDOI

SLA-aware resource scheduling for cloud storage

TL;DR: It is demonstrated that a new SLA-aware scheduling policy that takes into account both the available capacity but also the I/O throughput of the backend nodes is needed to offer quality storage services.
Journal ArticleDOI

A Genetic Algorithmic approach for Energy Efficient Task Consolidation in Cloud Computing

TL;DR: The novel genetic algorithm framework has been proposed for task scheduling to minimize the energy consumption in cloud computing infrastructure and shows that the GA based scheduling model outperforms the existing Random and Round Robin scheduling models.
References
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Journal ArticleDOI

A view of cloud computing

TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
Journal ArticleDOI

Xen and the art of virtualization

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.
Journal ArticleDOI

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

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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