Recent trends within computational and data sciences show an increasing recognition and adoption of computational workflows as tools for productivity and reproducibility that also democratize access to platforms and p...
详细信息
The simulations and potential forecasting of dust storms are of significant interest to public health and environment *** storms have interannual variabilities and are typical disruptive *** computing platform for a d...
详细信息
The simulations and potential forecasting of dust storms are of significant interest to public health and environment *** storms have interannual variabilities and are typical disruptive *** computing platform for a dust storm forecasting operational system should support a disruptive fashion by scaling up to enable high-resolution forecasting and massive public access when dust storms come and scaling down when no dust storm events occur to save energy and *** the capability of providing a large,elastic,and virtualized pool of computational resources,cloud computing becomes a new and advantageous computing paradigm to resolve scientific problems traditionally requiring a large-scale and high-performance *** paper examines the viability for cloud computing to support dust storm *** a holistic study by systematically comparing cloud computing using Amazon EC2 to traditional high performance computing(HPC)cluster,we find that cloud computing is emerging as a credible solution for(1)supporting dust storm forecasting in spinning off a large group of computing resources in a few minutes to satisfy the disruptive computing requirements of dust storm forecasting,(2)performing high-resolution dust storm forecasting when required,(3)supporting concurrent computing requirements,(4)supporting real dust storm event forecasting for a large geographic domain by using recent dust storm event in Phoniex,05 July 2011 as example,and(5)reducing cost by maintaining low computing support when there is no dust storm events while invoking a large amount of computing resource to perform high-resolution forecasting and responding to large amount of concurrent public accesses.
Light Detection and Ranging (LiDAR) is one of the most promising technologies in surveying and mappingï1/4city management, forestry, object recognition, computer vision engineer and others. However, it is challen...
详细信息
The geospatialsciences face grand information technology(IT)challenges in the twenty-first century:data intensity,computing intensity,concurrent access intensity and spatiotemporal *** challenges require the readines...
详细信息
The geospatialsciences face grand information technology(IT)challenges in the twenty-first century:data intensity,computing intensity,concurrent access intensity and spatiotemporal *** challenges require the readiness of a computing infrastructure that can:(1)better support discovery,access and utilization of data and data processing so as to relieve scientists and engineers of IT tasks and focus on scientific discoveries;(2)provide real-time IT resources to enable real-time applications,such as emergency response;(3)deal with access spikes;and(4)provide more reliable and scalable service for massive numbers of concurrent users to advance public *** emergence of cloud computing provides a potential solution with an elastic,on-demand computing platform to integrateobservation systems,parameter extracting algorithms,phenomena simulations,analytical visualization and decision support,and to provide social impact and user feedbackthe essential elements of the geospatial *** discuss the utilization of cloud computing to support the intensities of geospatialsciences by reporting from our investigations on how cloud computing could enable the geospatialsciences and how spatiotemporal principles,the kernel of the geospatialsciences,could be utilized to ensure the benefits of cloud *** research examples are presented to analyze how to:(1)search,access and utilize geospatial data;(2)configure computing infrastructure to enable the computability of intensive simulation models;(3)disseminate and utilize research results for massive numbers of concurrent users;and(4)adopt spatiotemporal principles to support spatiotemporal intensive *** paper concludes with a discussion of opportunities and challenges for spatial cloud computing(SCC).
We live in space time dimensions and all physical and social sciences are based on the dimensions. The representation and digitization of scientific phenomena into data and computation of the digitized data greatly de...
详细信息
ISBN:
(纸本)9781612848495
We live in space time dimensions and all physical and social sciences are based on the dimensions. The representation and digitization of scientific phenomena into data and computation of the digitized data greatly depends on the spatiotemporal principles that govern the relationships of phenomena. The latest advancement of cloud computing is not an exception. Conducting cloud computing in a spatiotemporal fashion will help use spatiotemporal principles, which exist in all physical and social sciences, to optimize cloud computing and science discoveries. This paper 1) introduces the latest advancement of distributed computing; 2) analyzes the impact cloud computing has on GIS science, application, and education; 3) illustrates how spatiotemporal principles exist and can be utilized to enable cloud computing and science discoveries; and 4) discusses research directions and agenda for GIscience professionals in the 21st centuries.
暂无评论