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

Theo Lynn

ISBN 10: 3030093875 / ISBN 13: 9783030093877

Verlag: Springer International Publishing Dez 2018, 2018

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -This book is open access under a CC BY NC ND license. It 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. Italso outlines validation challenges and introduces a novel generalised extensible simulation frameworkto 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. 188 pp. Englisch.

Bestandsnummer des Verkäufers 9783030093877

Bibliografische Details

• Titel: Heterogeneity, High Performance Computing, Self-Organization and the Cloud
• Verlag: Springer International Publishing Dez 2018
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 3030093875
• ISBN-13: 9783030093877
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

1        Chapter 1: Addressing the Complexity of HPC in the Cloud: Emergence, Self-Organisation, Self-Management and the Separation of Concerns

1.1         Introduction. 14

1.2         Cloud Computing. 14

1.3         High Performance Computing. 16

1.4         HPC and the Cloud. 18

1.5         Heterogeneous Computing. 19

1.6         Addressing Complexity in the Cloud through Self-* Design Principles. 21

1.7         Application Scenarios. 25

1.7.1     Oil and Gas Exploration. 25

1.7.2     Ray Tracing. 26

1.7.3     Genomics. 26

1.8         Conclusion. 28

1.9         Chapter 1 Related CloudLightning Readings. 29

2        Chapter 2: Cloud Architectures and Management Approaches. 35

2.1         Introduction. 36

2.2         Cloud Architecture. 36

2.2.1     Infrastructure Organisation. 37

2.2.2     The Cloud Management Layer. 39

2.2.3     The Service Delivery Layer. 40

2.3         Transitioning to Heterogeneous Clouds. 41

2.3.1     Resource Management. 42

2.3.2     Resource Abstraction. 43

2.4         The CloudLightning Approach. 43

2.4.1     Infrastructure Organisation. 43

2.4.2     Hardware Organisation. 44

2.4.3     The Cloud Management Layer. 44

2.4.4     Service Delivery Model. 48

2.4.5     Advanced Architecture Support. 49

2.5         Conclusion. 51

2.6         Chapter 2 Related CloudLightning Readings. 52

3        Chapter 3: Self-organising, Self-managing Frameworks and Strategies  55

3.1         Introduction. 56

3.2         Key Concepts. 56

3.3         Augmenting the CloudLightning Architecture. 57

3.4         Self-organisation and Self-management in CloudLightning Architecture. 59

3.4.1     Directed Evolution. 59

3.4.2     Self-management mechanisms. 61

3.4.3     Self-organisation mechanisms. 64

3.5         CloudLightning SOSM strategies. 65

3.5.1     Self-management strategies. 65

3.5.2     Self-organisation strategies. 67

3.6         Conclusion. 70

3.7         Chapter 3 Related CloudLightning Readings. 71

4        Chapter 4: Application Blueprints and Service Description.. 72

4.1         Introduction. 73

4.2         Representative Application Lifecycle and Resource Management Frameworks. 73

4.3      &nb

Über die Autorin bzw. den Autor

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.