China
Africa
Explore chapters and articles related to this topic
Introduction
Published in Paul C. Etter, Underwater Acoustic Modeling and Simulation, 2017
The term e-Science refers to those technical activities that are performed through distributed global collaborations enabled by the Internet in concert with very large data collections, tera-scale computing resources, and high-performance visualization. Thus, e-Science is an enabling technology that provides the marine and energy industries with meteorological and oceanographic (METOC) data in formats that facilitate easy computation of future states of the environments in which they operate. Applications for operational services concerned with maritime surveillance and security require further integration of remotely sensed Earth observation data. The drivers for e-Science are grounded in advances in computing, communications, remote sensing, and modeling. The term marine informatics is sometimes used to denote those activities in data services, visualization services, grid-computing facilities, and the supporting infrastructure needed to generate the necessary ocean products (Graff, 2004).
High-Performance Grid Computing for Science: A Review
Published in Alexander V. Vakhrushev, Omari V. Mukbaniani, Heru Susanto, Chemical Technology and Informatics in Chemistry with Applications, 2019
Heru Susanto, Fang-Yie Leu, Ching Kang Chen
E-science is a branch of science that requires the usage of significant amounts of computing resources and massive data sets in order to perform scientific inquiry. The data produced may need the experts’ scrutiny.20 Mustafee20 also explained that grid computing is an asset for e-science due to its wide applications in various fields. According to him, some of the projects which rely on grid computing were the Earth System Grid, which focal point was climatology; Large Hadron Collider, which focuses on particle physics and creating a simulation for earthquake engineering. However, grid computing is costly to produce yet it is regarded as an investment because grid computing is used to solve bigger problems.20
Migrating e-Science Applications to the Cloud: Methodology and Evaluation
Published in Olivier Terzo, Lorenzo Mossucca, Cloud Computing with e-Science Applications, 2017
Strauch Steve, Andrikopoulos Vasilios, Karastoyanova Dimka, Karolina Vukojevic-Haupt
e-Science is an active field of research striving to enable faster scientific discovery and groundbreaking research in different scientific domains by means of information technology (IT). It is considered a new paradigm for science and is referred to as the fourth paradigm (Hey et al., 2009) or data-intensive science; it unifies theory, experiments, and simulation for data exploration for the purpose of scientific discovery. Existing literature shows that myriad available software systems, like Kepler, Triana, Taverna, Pegasus, and so on, support only some of the experiment life cycle phases and are applicable only for specific scientific domains (Taylor et al., 2006).
Current status and future directions of geoportals
Published in International Journal of Digital Earth, 2020
Hao Jiang, John van Genderen, Paolo Mazzetti, Hyeongmo Koo, Min Chen
Besides data access functionality, e-Science geoportals aim to work across disciplines, and increase collaboration among researchers. Geospatial cyber-infrastructure has its roots in computing technology for data storage and computation (Hofer 2013), and thus, one of the driving forces for building an e-Science geoportal is the advancement of computing capability. The realization of an e-Science environment supporting data analysis and collaborative research requires e-Science geoportal computing for large data resources. E-science geoportals can provide collaborative web services for Earth observation data and its products. The geoportal is a dedicated access component for satellite projects, normally supported by space agencies. E-Science geoportals cover data from broad disciplines. For example, the CIPRES Science Gateway is a public resource for inference of large phylogenetic trees,26 and the Distributed Research Infrastructure for Hydro-Meteorology (DRIHM) portal27 assists Hydro-Meteorology experiments and collaboration (D'Agostino et al. 2016). In addition, the United States Geological Survey (USGS)28 data portal has the capability of dealing with geoscience data (Blodgett et al. 2012), and Near-Earth Space Data Infrastructure for e-Science (ESPAS) data portal29 is a implementation of an e-infrastructure providing a digital library like system for accessing data sources and model output data (Belehaki et al. 2016). The Petlab30 also provides New Zealand's online national rock, mineral data, and geo-analytical database (Strong et al. 2016).