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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lynn, Theo (Editor), Morrison, John P. (Editor), Kenny, David (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2018.
• Edition: 1st ed. 2018.
• Series: Palgrave Studies in Digital Business & Enabling Technologies,
• Subjects: Quantitative research.; Business logistics.; Industries.; Electronic data processing > Management.; Computer systems.; Data Analysis and Big Data.; Logistics.; IT Operations.; Computer System Implementation.
• Online Access: Link to Metadata

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.