What are the advantages cloud computing brings to the field of geoscience?


  •  Massive volumes of geographic and non-spatial data are collected, produced, and analyzed by geoscience applications. The volume of data that has to be processed grows considerably as technology advances and our world gets increasingly instrumented (e.g., through the deployment of sensors and satellites for monitoring). A fundamental component of geoscience applications is the geographic information system (GIS). All sorts of spatially linked data may be captured, stored, manipulated, analyzed, managed, and presented using GIS applications. This sort of data is becoming increasingly important in a range of application sectors, ranging from advanced agriculture to civic security and natural resource management. As a result, large amounts of geo-referenced data are fed into computer systems for processing and analysis. Cloud computing is a compelling alternative for completing these time-consuming processes and collecting useful data to aid decision-making.
  • Hundreds of terabytes of raw pictures are generated by satellite remote sensing, which must be processed before being used to create a variety of GIS products. This procedure needs both I/O and computationally heavy operations. Large pictures must be sent from a ground station's local storage to compute facilities, where they must undergo multiple transformations and adjustments. Cloud computing offers the necessary infrastructure to support these types of applications. Several technologies are integrated throughout the full computer stack in the system depicted in Figure.
  • A SaaS application is a bundle of services that may be used for activities like geocoding and data visualization. Aneka manages the data importation into the virtualized infrastructure and the image processing processes that create the necessary result from raw satellite photos at the PaaS level. The platform uses a Xen private cloud and Aneka technology to dynamically provision (i.e., increase or shrink) used to offload heavy workloads from local computer facilities and use more elastic computing e appropriate resources on demand. The research shows how cloud computing technologies may be used to offload heavy workloads from local computer facilities and use more elastic computing infrastructures.


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