Heterogeneity, high performance computing, self-organization and the cloud. (2018)

• Record Type: Book
• Further Information: Note: Edited by Theo Lynn, John P. Morrison, David Kenny.
• Editors: Lynn, Theo; Morrison, J. Paul (John Paul); Kenny, David
• Contents: 1 Chapter 1: Addressing the Complexity of HPC in the Cloud: Emergence, Self-Organisation, Self-Management and the Separation of Concerns1.1 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 Cloud Lightning Stakeholders and Associated Concerns. 74 4.4 The CloudLightning approach based on separation of concerns. 74 4.4.1 CloudLightning Requirements. 74 4.4.2 Separation of Concerns. 76 4.5 The CloudLightning Gateway Architecture. 77 4.5.1 Gateway Service Architecture. 78 4.5.2 Service Decomposition. 79 4.5.3 Interaction with the SOSM System.. 79 4.6 The CloudLightning Blueprint Extensions. 81 4.6.1 CloudLightning Brooklyn Extensions. 81 4.6.2 CloudLightning Abstract Blueprint. 82 4.6.3 CloudLightning Blueprint. 83 4.7 Example of Application Creation and Deployment. 83 4.8 Conclusion. 85 4.9 Chapter 4 Related CloudLightning Readings. 86 5 Chapter 5: Simulating Heterogeneous Clouds at Scale.. 88 5.1 Introduction. 89 5.2 Cloud Simulation Frameworks. 90 5.3 CloudLightning Simulator. 90 5.3.1 Architecture and basic characteristics of the parallel CloudLightning simulation framework 91 5.3.2 SOSM engine. 92 5.4 Experimental Results. 97 5.5 Conclusion. 100 5.6 Chapter 5 Related CloudLightning Readings. 101 6 Chapter 6: Concluding Remarks. 104.
• Publisher Details: Basingstoke, Hampshire : Palgrave Macmillan
• Publication Date: 2018
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 004.6782; Cloud computing; Self-organizing systems
• Languages: English
• ISBNs: 9783319760384
• Related ISBNs: 9783319760377
• Notes: Note: Description based on CIP data; resource not viewed.
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