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Heterogeneity, high performance comp...

Kenny, David.

Heterogeneity, high performance computing, self-organization and the cloud

Record Type:	Electronic resources : Monograph/item
Title/Author:	Heterogeneity, high performance computing, self-organization and the cloudedited by Theo Lynn, John P. Morrison, David Kenny.
other author:	Lynn, Theo.
Published:	Cham :Springer International Publishing :2018.
Description:	xxi, 165 p. :ill., digital ;22 cm.
Contained By:	Springer eBooks
Subject:	Cloud computing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-76038-4
ISBN:	9783319760384$q(electronic bk.)

Heterogeneity, high performance computing, self-organization and the cloud
Heterogeneity, high performance computing, self-organization and the cloud[electronic resource] /edited by Theo Lynn, John P. Morrison, David Kenny. - Cham :Springer International Publishing :2018. - xxi, 165 p. :ill., digital ;22 cm. - Palgrave studies in digital business & enabling technologies. - Palgrave studies in digital business & enabling technologies..

1 Addressing the Complexity of HPC in the Cloud: Emergence, Self-Organisation, Self-Management and the Separation of Concerns -- 2 Cloud Architectures and Management Approaches -- 3 Self-organising, Self-Managing Frameworks and Strategies -- 4 Application Blueprints and Service Description -- Simulating Heterogeneous Clouds at Scale -- Concluding Remarks.

Open access.

This open access book 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.

ISBN: 9783319760384$q(electronic bk.)

Standard No.: 10.1007/978-3-319-76038-4doiSubjects--Topical Terms:

378527
Cloud computing.

LC Class. No.: QA76.585 / .H48 2018

Dewey Class. No.: 004.6782

Heterogeneity, high performance computing, self-organization and the cloud
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245 0 0 $a Heterogeneity, high performance computing, self-organization and the cloud $h [electronic resource] / $c edited by Theo Lynn, John P. Morrison, David Kenny.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2018.
300 $a xxi, 165 p. : $b ill., digital ; $c 22 cm.
490 1 $a Palgrave studies in digital business & enabling technologies
505 0 $a 1 Addressing the Complexity of HPC in the Cloud: Emergence, Self-Organisation, Self-Management and the Separation of Concerns -- 2 Cloud Architectures and Management Approaches -- 3 Self-organising, Self-Managing Frameworks and Strategies -- 4 Application Blueprints and Service Description -- Simulating Heterogeneous Clouds at Scale -- Concluding Remarks.
506 $a Open access.
520 $a This open access book 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.
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650 2 4 $a Computer System Implementation. $3 276333
700 1 $a Lynn, Theo. $3 815633
700 1 $a Morrison, John P. $3 815634
700 1 $a Kenny, David. $3 815635
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