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Cloud Computing Systems

Cloud Computing Systems. N. Xiong Georgia State University. Review and Introduction. Cloud Computing and Service Models Datacenter Design and Interconnection Networks Architectural Design of Computing Clouds Cloud Platforms and Service Models Resource Management and Design Challenges

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Cloud Computing Systems

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  1. Cloud Computing Systems N. XiongGeorgia State University

  2. Review and Introduction

  3. Cloud Computing and Service Models Datacenter Design and Interconnection Networks Architectural Design of Computing Clouds Cloud Platforms and Service Models Resource Management and Design Challenges Cloud Security and Trust Management Homework Problems Chapter 05 Main Contents

  4. Public, Private, and Hybrid Clouds

  5. Over Open Internet

  6. Cloud Design Objectives • Shifting Computing from Desktops to • Datacenters • Service Provisioning and Cloud Economics • Scalability in Performance • Data Privacy Protection • High Quality of Cloud Services • New Standards and Interfaces

  7. Cloud Ecosystem and Cost Model

  8. Cloud Ecosystem for Building Private Clouds

  9. Popular Cloud Service Models

  10. Customized Cloud Services

  11. Datacenter Growth and Cost Breakdown

  12. Warehouse-Scale Datacenter Design

  13. Cooling System of a Datacenter Room

  14. Datacenter Interconnection Networks • Specific Design Considerations: • Application Traffic Support • Network Expandability • Fault Tolerance and Graceful Degradation • Switch-centric Datacenter Design

  15. Fat-tree Switch Network Design

  16. Modular Datacenters in Containers

  17. Interconnection among Modular Datacenters

  18. Modularized Datacenter Cube network

  19. Datacenter Management Issues • Making the Common Users Happy • Controlled Information Flows • Multi-User Manageability • Scalability in Database Growth • Reliability in Virtualized Infrastructure • Lowered Costs to both Users and Providers • Security Enforcement and Data Protection • Green Information Technology

  20. Google Datacenter Health Monitoring Infrastructure

  21. Marketplaces in Cloud computing Services

  22. Enabling Technologies for Clouds

  23. A Generic Cloud Architecture

  24. Layered Cloud Architectural Development

  25. System Virtualization

  26. Virtualization Tools

  27. VM Cloning for Disaster Recovery

  28. Virtualization Support in Public Clouds

  29. Data and Software Protection Techniques • Data Integrity and Privacy Protection • Data Coloring and Cloud Watermarking • Data Lock-in Problem and Proactive Solutions

  30. The Concept of Data Coloring

  31. Cloud Watermarking for Trust Management

  32. Five Levels of Cloud Players in Industry

  33. Major Cloud Providers and Service Offerings

  34. Six Layers of Cloud Services

  35. Three Classes of Cloud Players

  36. Software Stack for Cloud Computing

  37. Cloud Service Stack

  38. Application Cloud Services Tasks

  39. Resource Provisioning and Platform Deployment

  40. Provisioning of Storage Resources

  41. Resource Provisioning Strategies

  42. Virtual Machine Creation and Management

  43. Benchmark Experiments on an InterGrid Testbed over The Grid’5000

  44. Cloud Loading Results

  45. Basic Cloud Security • Protection of servers from malicious software attacks like worms, viruses, and malwares. • Protection of hypervisors or VM monitors from software based attacks and vulnerabilities. • Protection of VMs and monitors from service disruption and denial of service attacks. • Protection of data and information from theft, corruption and natural disasters. • Providing authenticated and authorized access to critical data and services

  46. Mapping of CloudModels to Various Security Measures

  47. Cloud Defense Methods

  48. Cloud Security Deployment by Vordel Company

  49. Distributed Defense against DDoS Flooding Attacks

  50. DDoS Attacks Over Multiple Network Domains

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