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Optimal Scheduling of Virtualised Workloads using Learning Algorithms

Name: Optimal Scheduling of Virtualised Workloads using Learning Algorithms
Brand: LAP Lambert Academic Publishing
SKU: 15575717
Price: 24157 HUF
Availability: InStock
Author: Omer Khalid
ISBN: 9783330000575

Omer Khalid

Language

English

Book Paperback

Libristo code: 15575717

Publishers LAP Lambert Academic Publishing, December 2016

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

Libristo code: 15575717

165 b

24 157 Ft

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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.