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.
By providing general information on the use of the cloud for oceanographic and atmospheric computing, as well as examples of specific applications, this book encourages and educates potential users of the cloud.
We proposed a Cloud-based spatial information system model which is described in Figure 1. Because Cloud Computing system can provide some standard API to operate data, we can store the spatial data in Cloud. Utilizing its APIs, we can ...
This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on ...
Section2 covers concepts of Spatial Cloud Computing and Public Cloud Providers. SpatialHadoop is presented in Sect. 3; and some related works in Sect. 4. Section 5 presents the method to determine the number of data nodes in a cluster, ...
Williams H (2009) A new paradigm for geographic information services. Spatial Cloud Computing (SC2), White Paper 4. Brauner J, Foerster T, Schaeffer B, Baranski B Towards a research agenda for geoprocessing services.
also an important part of retail planning (Box 8). ... As illustrated in this section, the retail planning process is complex, requiring knowledge from multiple disciplines and ... Retail Geography and Intelligent Network Planning.
This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing.
... see Services-oriented architecture SOAP, see Simple object access protocol Software as a service (SaaS), 3, 170 Spatial cloud computing, 144 Spatial Reference System Identifier (SRID), 159 SQL Azure geospatial database, 142 SQS, ...
[78] [79] [80] [81] [82] [83] [84] [85] [86] [87] [88] [89] [90] [91] Yong Wang, Zhenling Liu, Hongyan Liao, and Chengjun Li. ... Muhammad Mazhar, Ullah Rathore, Anand Paul, Awais Ahmad, Bo Wei Chen, Bormin Huang, and Wen Ji.
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years.