Spatial Cloud Computing

Book description

An exploration of the benefits of cloud computing in geoscience research and applications as well as future research directions, Spatial Cloud Computing: A Practical Approach discusses the essential elements of cloud computing and their advantages for geoscience. Using practical examples, it details the geoscience requirements of cloud computing, covers general procedures and considerations when migrating geoscience applications onto cloud services, and demonstrates how to deploy different applications.

The book discusses how to choose cloud services based on the general cloud computing measurement criteria and cloud computing cost models. The authors examine the readiness of cloud computing to support geoscience applications using open source cloud software solutions and commercial cloud services. They then review future research and developments in data, computation, concurrency, and spatiotemporal intensities of geosciences and how cloud service can be leveraged to meet the challenges. They also introduce research directions from the aspects of technology, vision, and social dimensions.

Spatial Cloud Computing: A Practical Approach a common workflow for deploying geoscience applications and provides references to the concepts, technical details, and operational guidelines of cloud computing. These features and more give developers, geoscientists, and IT professionals the information required to make decisions about how to select and deploy cloud services.

Table of contents

  1. Front Cover
  2. Contents (1/3)
  3. Contents (2/3)
  4. Contents (3/3)
  5. Preface (1/2)
  6. Preface (2/2)
  7. Acknowledgments
  8. Chapter 1: Geoscience application challenges to computing infrastructures (1/4)
  9. Chapter 1: Geoscience application challenges to computing infrastructures (2/4)
  10. Chapter 1: Geoscience application challenges to computing infrastructures (3/4)
  11. Chapter 1: Geoscience application challenges to computing infrastructures (4/4)
  12. Chapter 2: Cloud computing architecture, concepts, and characteristics (1/3)
  13. Chapter 2: Cloud computing architecture, concepts, and characteristics (2/3)
  14. Chapter 2: Cloud computing architecture, concepts, and characteristics (3/3)
  15. Chapter 3: Enabling technologies (1/4)
  16. Chapter 3: Enabling technologies (2/4)
  17. Chapter 3: Enabling technologies (3/4)
  18. Chapter 3: Enabling technologies (4/4)
  19. Chapter 4: How to use cloud computing (1/5)
  20. Chapter 4: How to use cloud computing (2/5)
  21. Chapter 4: How to use cloud computing (3/5)
  22. Chapter 4: How to use cloud computing (4/5)
  23. Chapter 4: How to use cloud computing (5/5)
  24. Chapter 5: Cloud-enabling geoscience applications (1/4)
  25. Chapter 5: Cloud-enabling geoscience applications (2/4)
  26. Chapter 5: Cloud-enabling geoscience applications (3/4)
  27. Chapter 5: Cloud-enabling geoscience applications (4/4)
  28. Chapter 6: How to choose cloud services: Toward a cloud computing cost model (1/4)
  29. Chapter 6: How to choose cloud services: Toward a cloud computing cost model (2/4)
  30. Chapter 6: How to choose cloud services: Toward a cloud computing cost model (3/4)
  31. Chapter 6: How to choose cloud services: Toward a cloud computing cost model (4/4)
  32. Chapter 7: ArcGIS in the cloud (1/3)
  33. Chapter 7: ArcGIS in the cloud (2/3)
  34. Chapter 7: ArcGIS in the cloud (3/3)
  35. Chapter 8: Cloud-enabling GEOSS Clearinghouse (1/4)
  36. Chapter 8: Cloud-enabling GEOSS Clearinghouse (2/4)
  37. Chapter 8: Cloud-enabling GEOSS Clearinghouse (3/4)
  38. Chapter 8: Cloud-enabling GEOSS Clearinghouse (4/4)
  39. Chapter 9: Cloud-enabling Climate@Home (1/4)
  40. Chapter 9: Cloud-enabling Climate@Home (2/4)
  41. Chapter 9: Cloud-enabling Climate@Home (3/4)
  42. Chapter 9: Cloud-enabling Climate@Home (4/4)
  43. Chapter 10: Cloud-enabling dust storm forecasting (1/4)
  44. Chapter 10: Cloud-enabling dust storm forecasting (2/4)
  45. Chapter 10: Cloud-enabling dust storm forecasting (3/4)
  46. Chapter 10: Cloud-enabling dust storm forecasting (4/4)
  47. Chapter 11: Cloud services (1/5)
  48. Chapter 11: Cloud services (2/5)
  49. Chapter 11: Cloud services (3/5)
  50. Chapter 11: Cloud services (4/5)
  51. Chapter 11: Cloud services (5/5)
  52. Chapter 12: How to test the readiness of cloud services (1/5)
  53. Chapter 12: How to test the readiness of cloud services (2/5)
  54. Chapter 12: How to test the readiness of cloud services (3/5)
  55. Chapter 12: How to test the readiness of cloud services (4/5)
  56. Chapter 12: How to test the readiness of cloud services (5/5)
  57. Chapter 13: Open-source cloud computing solutions (1/4)
  58. Chapter 13: Open-source cloud computing solutions (2/4)
  59. Chapter 13: Open-source cloud computing solutions (3/4)
  60. Chapter 13: Open-source cloud computing solutions (4/4)
  61. Chapter 14: How to test the readiness of open-source cloud computing solutions (1/4)
  62. Chapter 14: How to test the readiness of open-source cloud computing solutions (2/4)
  63. Chapter 14: How to test the readiness of open-source cloud computing solutions (3/4)
  64. Chapter 14: How to test the readiness of open-source cloud computing solutions (4/4)
  65. Chapter 15: GeoCloud initiative (1/3)
  66. Chapter 15: GeoCloud initiative (2/3)
  67. Chapter 15: GeoCloud initiative (3/3)
  68. Chapter 16: Handling intensities of data, computation, concurrent access, and spatiotemporal patterns (1/4)
  69. Chapter 16: Handling intensities of data, computation, concurrent access, and spatiotemporal patterns (2/4)
  70. Chapter 16: Handling intensities of data, computation, concurrent access, and spatiotemporal patterns (3/4)
  71. Chapter 16: Handling intensities of data, computation, concurrent access, and spatiotemporal patterns (4/4)
  72. Chapter 17: Cloud computing research for geosciences and applications (1/7)
  73. Chapter 17: Cloud computing research for geosciences and applications (2/7)
  74. Chapter 17: Cloud computing research for geosciences and applications (3/7)
  75. Chapter 17: Cloud computing research for geosciences and applications (4/7)
  76. Chapter 17: Cloud computing research for geosciences and applications (5/7)
  77. Chapter 17: Cloud computing research for geosciences and applications (6/7)
  78. Chapter 17: Cloud computing research for geosciences and applications (7/7)
  79. Back Cover

Product information

  • Title: Spatial Cloud Computing
  • Author(s): Chaowei Yang, Qunying Huang
  • Release date: December 2013
  • Publisher(s): CRC Press
  • ISBN: 9781466593176