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Journal ArticleDOI

DCworms - A tool for simulation of energy efficiency in distributed computing infrastructures

TLDR
A Data Center Workload and Resource Management Simulator (DCworms) is presented which enables modeling and simulation of computing infrastructures to estimate their performance, energy consumption, and energy-efficiency metrics for diverse workloads and management policies.
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This article is published in Simulation Modelling Practice and Theory.The article was published on 2013-12-01. It has received 56 citations till now. The article focuses on the topics: Resource management & Energy consumption.

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Citations
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Journal ArticleDOI

Energy efficiency and renewable energy integration in data centres. Strategies and modelling review

TL;DR: In this article, the authors present a comprehensible overview of the current data centre infrastructure and summarizes a number of currently available energy efficiency strategies and renewable energy integration into data centres and its characterization using numerical models.
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DISSECT-CF: A simulator to foster energy-aware scheduling in infrastructure clouds

TL;DR: A new IaaS simulation framework, called DISSECT-CF, which introduces concepts such as a unified model for resource sharing and a new energy metering framework with hierarchical and indirect metering options to enable fast evaluation of many scheduling and IAAS internal behaviour related scenarios.
Journal ArticleDOI

Green IT scheduling for data center powered with renewable energy

TL;DR: An approach for scheduling batch jobs with due date constraints, which takes into account the availability of the renewable energy to reduce the need of brown energy and therefore running cost and compared to a traditional scheduler unaware of renewable availability.
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Multiscale Computing in the Exascale Era

TL;DR: This work proposes multiscale computing patterns as a generic vehicle to realise load balanced, fault tolerant and energy aware high performance multiscaling, and discusses the vision of how this may shape multiscales computing in the exascale era.
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DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy

TL;DR: DataZERO is presented, a project developing this idea to ensure high availability of IT services, avoiding unnecessary redundancies, under the constraints due to the intermittent nature of electrical and cloud services flows.
References
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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.
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Worldwide electricity used in data centers

TL;DR: This study estimates historical electricity use by data centers worldwide and regionally on the basis of more detailed data than were available for previous assessments, including electricity used by servers, data center communications, and storage equipment.
Journal ArticleDOI

Energy-Efficient Cloud Computing

TL;DR: The usage of methods and technologies currently used for energy-efficient operation of computer hardware and network infrastructure and some of the remaining key research challenges that arise when such energy-saving techniques are extended for use in cloud computing environments are identified.
Journal ArticleDOI

GreenCloud: a packet-level simulator of energy-aware cloud computing data centers

TL;DR: A simulation environment for energy-aware cloud computing data centers is presented and the effectiveness of the simulator in utilizing power management schema, such as voltage scaling, frequency scaling, and dynamic shutdown that are applied to the computing and networking components are demonstrated.

Green grid data center power efficiency metrics: pue and dcie

TL;DR: The use of PUE is re-affirmed but its reciprocal, Datacenter Effi ciency (DCiE), will avoid much of the confusion around DCE and will now be called DCiE.
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