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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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Computational Sprinting: Architecture, Dynamics, and Strategies

TL;DR: This work describes a sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips’ thermal limits and the rack’s power limits and presents the computational sprinting game, a multi-agent perspective on managing sprints.
Journal ArticleDOI

Green Cloud Meta-Scheduling

TL;DR: It could be concluded that the GreenMACC is a flexible, reliable architecture and the LRAM module enables the automation of choosing the best scheduling mechanism in a private cloud.
Proceedings ArticleDOI

A Virtual Machine Scheduling Method for Trade-Offs Between Energy and Performance in Cloud Environment

TL;DR: A joint optimization model is designed to formalize the problem, then a corresponding energy and performance aware VM scheduling method is proposed to determine which VMs should be migrated and where they should be migrate, aiming at reducing energy consumption and mitigating performance degradation.
Journal ArticleDOI

Online Inter-Datacenter Service Migrations

TL;DR: This paper proposes an online algorithm that minimizes the inter-datacenter network, taking into account the network load of migrating a service between two datacenters, as well as the fact that the client request pattern may change “quickly”, before such a migration is amortized.
Proceedings ArticleDOI

Energy-Aware Tasks Scheduling with Deadline-constrained in Clouds

TL;DR: An energy-aware tasks scheduling method with deadline-constrained is proposed in this paper by exploiting the computing parallelism of divisible task and considering whether the load of task is divisible.
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.
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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

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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