Titlebook: Cloud Computing; Principles, Systems Nick Antonopoulos,Lee Gillam Book 2017Latest edition Springer International Publishing AG 2017 Grid C

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Schlüsselwerke der Migrationsforschungcan achieve substantial resource reduction, in terms of energy-inducing resource metrics like CPU usage, memory usage and variation, up to 80%, for CPU and memory usage. It is also, indirectly and partially, able to reduce bandwidth usage when employing a specific subset of the mechanisms presented.

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Mirror Mirror on the Wall, How Do I Dimension My Cloud After All?the development of complex scientific applications over distributed resources in several domains from bioinformatics to astronomy. Although clouds provide several advantages such as elasticity and a pay-as-you-go model, such characteristics come at a price. One important drawback of clouds is how do

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A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challroadly known as . (VM) technologies, to achieve workload isolation and efficient resource management. Isolation is a static mechanism that relies on hardware or operating system support to be enforced. Resource management is dynamic, and VMs must self-adapt or be instructed to adapt in order to fit

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Clouds and Reproducibility: A Way to Go to Scientific Experiments?ction of scientific data and its experiments. The simulations performed in this type of research are called in silico experiments, and they are commonly composed of several applications that execute traditional algorithms and methods. Reproducibility plays a key role and gives the ability to make ch

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Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insightsst of sequencing a human genome has gone down considerably increasing the number of genomes being sequenced. Huge amounts of genomics data along with a vast variety of clinical data cannot be handled using existing frameworks and techniques. It is to be efficiently stored in a warehouse where a numb