Heterogeneity, High Performance Computing, Self-Organization and the Cloud

Theo Lynn

ISBN 10: 3319760378 / ISBN 13: 9783319760377

Published by Springer International Publishing, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book is open access under a CC BY NC ND license. It addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. Italso outlines validation challenges and introduces a novel generalised extensible simulation frameworkto illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.

Seller Inventory # 9783319760377

Bibliographic Details

• Title: Heterogeneity, High Performance Computing, Self-Organization and the Cloud
• Publisher: Springer International Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 3319760378
• ISBN 13: 9783319760377
• Binding: Buch
• Condition: Neu
• Dimensions: 216W x 153H x 15D millimeters 216 millimeters width by 153 millimeters height by 15 millimeters depth
• Weight: 363 grams

About this title

Synopsis

This book is open access under a CC BY NC ND license. It addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. It also outlines validation challenges and introduces a novel generalised extensible simulation framework to illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.

About the Author

Theo Lynn is Professor of Digital Business and the Associate Dean (Industry Engagement & Innovation) at DCU Business School, Ireland.

John P. Morrison is the founder and director of the Centre for Unified Computing, University College Cork, Ireland.

David Kenny is the project manager of the CloudLightning project at University College Cork, Ireland.