Parallel Processing Strategies for Big Geospatial Data
نویسندگان
چکیده
منابع مشابه
Parallel Processing of Geospatial Time-series Data
One way of quantifying how much sunlight the earth receives, at a particular location and time, is to compute a Cloud Index from satellite images. This calculation involves processing large files of data that are collected in a way that makes time-series analysis extremely time consuming on a single computer. There are several ways to render this memory-intensive problem more feasible using par...
متن کاملDisaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing
Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. The objectives of this paper are to present the frontier approaches of ge...
متن کاملTowards Open Big Geospatial Data for geodata.gov.gr
Open data provided by the public sector constitute a significant opportunity for growth. PublicaMundi (http://publicamundi.eu) is an EU FP7-ICT project aiming to make open geospatial data easier to discover, reuse, and share by fully supporting their complete publishing lifecycle in open data catalogues. To achieve this, PublicaMundi extends and integrates leading open source software for open ...
متن کاملBig Data Normalization for Massively Parallel Processing Databases
High performance querying and ad-hoc querying are commonly viewed as mutually exclusive goals in massively parallel processing databases. In the one extreme, a database can be set up to provide the results of a single known query so that the use of available of resources are maximized and response time minimized, but at the cost of all other queries being suboptimally executed. In the other ext...
متن کاملCloud Computing Technology Algorithms Capabilities in Managing and Processing Big Data in Business Organizations: MapReduce, Hadoop, Parallel Programming
The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hos...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Big Data
سال: 2019
ISSN: 2624-909X
DOI: 10.3389/fdata.2019.00044