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

• Includes case studies to demonstrate the proposed architecture - Re-evaluates current approaches to service delivery- Introduces the CloudLightning self-organising self-management framework

  Introduces the CloudLightning self-organising self-management framework Includes case studies to demonstrate the proposed architecture Re-evaluates current approaches to service delivery

  Autorentext

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.

Klappentext
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.

Inhalt
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.