Optimal Scheduling of Virtualised Workloads using Learning Algorithms

Name: Optimal Scheduling of Virtualised Workloads using Learning Algorithms
Brand: LAP Lambert Academic Publishing
SKU: 9783330000575
Price: 64.04 EUR
Availability: InStock

Автор: Omer Khalid

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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The introduction of virtualization technology to grid and cloud computing infrastructures has enable...

Информация за книгата

Автор

Omer Khalid

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

224

EAN

9783330000575

ISBN

3330000570

Enbook ID

15575717

Издател

LAP Lambert Academic Publishing

Теглоt

350

Размери

150 x 220 x 13

Пълно описание

The introduction of virtualization technology to grid and cloud computing infrastructures has enabled applications to be decoupled from the underlying hardware providing the benefits of portability, better control over execution environment and isolation. Virtualization layer also incurs a performance penalty, which can be significant for High Performance Computing (HPC) applications with high work volumes. Virtualization thus brings new requirements for dynamic adaptation of the scheduling to realize the potential flexibility of faster re-tasking and reconfiguration of workloads. Often scheduling approaches are based on some well-defined system-wide performance metric within the context of the given systems scope of operation. However, this is not optimized for the structure and behavior of specific applications having a mix of task types each with their own task precedences and resource requirements. This body of work is concerned with combining virtualization and adaptive scheduling techniques to achieve an optimal balance between task placement flexibility and processing performance on large scale scientific Grid infrastructure while offsetting virtualization overhead.

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Optimal Scheduling of Virtualised Workloads using Learning Algorithms

Информация за книгата

Пълно описание

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