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Journal ArticleDOI

Parallel map projection of vector-based big spatial data: Coupling cloud computing with graphics processing units

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TLDR
The parallel map projection framework presented in this study is based on a layered architecture that couples capabilities of cloud computing and high-performance computing accelerated by Graphics Processing Units and provides considerable acceleration for re-projecting vector-based big spatial data.
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This article is published in Computers, Environment and Urban Systems.The article was published on 2017-01-01. It has received 51 citations till now. The article focuses on the topics: Cloud computing & Map projection.

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Citations
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基于Google Maps API的校园地图设计

戴兵
TL;DR: It is confirmed that Google Map API can be abused by third-party developers without permission.
Journal ArticleDOI

Big spatial vector data management: a review

TL;DR: A review that surveys recent studies and research work in the data management field for BSVD and concludes systematically not only the most recent published literatures but also a global view of main spatial technologies of BSVD, including data storage and organization, spatial index, processing methods, and spatial analysis.
Journal ArticleDOI

Geographic Data Science

TL;DR: It is argued for the positive role that Geography can have on Data Science when being applied to spatially explicit problems; and inversely, it is made the case that there is much that Ge geography and Geographical Analysis could learn from Data Science.
Journal ArticleDOI

A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data

TL;DR: A framework that synthesizes multi-sourced data (e.g., social media, remote sensing, Wikipedia, and Web), spatial data mining and text mining technologies to build an architecturally resilient and elastic solution to support disaster analysis of historical and future events is presented.
References
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ReportDOI

The NIST Definition of Cloud Computing

Peter Mell, +1 more
TL;DR: This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.
Journal ArticleDOI

A view of cloud computing

TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
Journal ArticleDOI

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
Book

Big data: The next frontier for innovation, competition, and productivity

James Manyika
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Book

Principles of geographical information systems

TL;DR: This paper aims to provide a history of fuzzy logic in information handling and geostatistics and some of the techniques used to deal with fuzzy logic problems.
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