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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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Journal ArticleDOI

Balance Resource Utilization BRU Approach for the Dynamic Load Balancing in Cloud Environment by Using AR Prediction Model

TL;DR: The proposedapproach to address the challenges faced by the £1.5bn KEywORDS Auto Regression (AR) Model, CPU Load, CPU Utilization, Energy Efficient, Response Time, Virtual Machine, Warning Threshold
Journal ArticleDOI

Pervasive Cloud Controller for Geotemporal Inputs

TL;DR: This paper proposes a pervasive cloud controller for dynamic resource reallocation adapting to volatile time- and location-dependent factors, while considering the QoS impact of too frequent migrations and the data quality limits of time series forecasting methods.
Proceedings ArticleDOI

Divide the Task, Multiply the Outcome: Cooperative VM Consolidation

TL;DR: A decentralized approach for VM consolidation using Peer to Peer (P2P) principles is investigated and it is shown that the P2P approach is feasible and scalable and produces resource utilization of 75% when the consolidation aim is 90%.
Journal ArticleDOI

A novel resource allocation mechanism for live cloud-based video streaming service

TL;DR: A novel cloud resource allocation mechanism based on a winning strategy for a Nim game that offers all clients an effective number of running cloud servers, and allocates cloud resources rapidly and effectively by using a pre-pairing approach is proposed.
Book ChapterDOI

Cloud Computing and Multiagent Systems, a Promising Relationship

TL;DR: A new agent-based proposed architecture to control a cloud computing platform that satisfies the hypothesis that this kind of environment is the most suitable for agent technology.
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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