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Utilizing Cloud Computing to address big geospatial data challenges

机译：利用云计算解决大型地理空间数据挑战

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Big Data has emerged with new opportunities for research, development, innovation and business. It is characterized by the so-called four Vs: volume, velocity, veracity and variety and may bring significant value through the processing of Big Data. The transformation of Big Data's 4 Vs into the 5th (value) is a grand challenge for processing capacity. Cloud Computing has emerged as a new paradigm to provide computing as a utility service for addressing different processing needs with a) on demand services, b) pooled resources, c) elasticity, d) broad band access and e) measured services. The utility of delivering computing capability fosters a potential solution for the transformation of Big Data's 4 Vs into the 5th (value). This paper investigates how Cloud Computing can be utilized to address Big Data challenges to enable such transformation. We introduce and review four geospatial scientific examples, including climate studies, geospatial knowledge mining, land cover simulation, and dust storm modelling. The method is presented in a tabular framework as a guidance to leverage Cloud Computing for Big Data solutions. It is demostrated throught the four examples that the framework method supports the life cycle of Big Data processing, including management, access, mining analytics, simulation and forecasting. This tabular framework can also be referred as a guidance to develop potential solutions for other big geospatial data challenges and initiatives, such as smart cities. (C) 2016 The Authors. Published by Elsevier Ltd.
机译：大数据的出现为研究，开发，创新和业务带来了新的机遇。它的特点是所谓的四个V：体积，速度，准确性和多样性，并可能通过处理大数据而带来重大价值。将大数据的4 Vs转换为第5个（值）是处理能力的巨大挑战。云计算已经成为一种新的范式，它提供了一种计算实用程序服务，可满足以下需求：a）按需服务，b）集中资源，c）弹性，d）宽带访问和e）测量的服务，以满足不同的处理需求。提供计算功能的实用程序为将大数据的4 V转换为5（值）提供了一种潜在的解决方案。本文研究了如何利用云计算来应对大数据挑战，以实现这种转型。我们介绍并回顾了四个地理空间科学实例，包括气候研究，地理空间知识挖掘，土地覆盖模拟和沙尘暴建模。该方法在表格框架中提供，作为将云计算用于大数据解决方案的指南。通过四个示例说明了框架方法支持大数据处理的生命周期，包括管理，访问，挖掘分析，模拟和预测。该表格框架也可以被称为指导，以开发针对其他大地理空间数据挑战和计划（例如智慧城市）的潜在解决方案。 （C）2016作者。由Elsevier Ltd.发布

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