Heterogeneity, High Performance Computing, Self-Organization and the Cloud [electronic resource] / edited by Theo Lynn, John P. Morrison, David Kenny.

Contributor(s): Lynn, Theo [editor.] | Morrison, John P [editor.] | Kenny, David [editor.] | SpringerLink (Online service)
Material type: TextTextSeries: Palgrave Studies in Digital Business & Enabling Technologies: Publisher: Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2018Edition: 1st ed. 2018Description: XXI, 165 p. 46 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319760384Subject(s): Big data | Business logistics | Industries | Management information systems | Computer science | Architecture, Computer | Big Data/Analytics | Logistics | Industries | Management of Computing and Information Systems | Computer System ImplementationAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 658.4038 LOC classification: HF5548.125-5548.6Online resources: Click here to access online
Contents:
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.
In: Springer Nature Open Access eBookSummary: 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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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.

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