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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Heterogeneity, High Performance Computing, Self-Organization and the Cloud/ edited by Theo Lynn, John P. Morrison, David Kenny.
其他作者:	Lynn, Theo.
面頁冊數:	XXI, 165 p. 46 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Big data. -
電子資源:	https://doi.org/10.1007/978-3-319-76038-4
ISBN:	9783319760384

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. - 1st ed. 2018. - XXI, 165 p. 46 illus.online resource. - Palgrave Studies in Digital Business & Enabling Technologies,2662-1282. - 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

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

981821
Big data.

LC Class. No.: HF5548.125-5548.6

Dewey Class. No.: 658.4038

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