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.
9783319760384
10.1007/978-3-319-76038-4 doi
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 Implementation.