Utilizing Cloud Computing to address big geospatial data challenges

Chaowei Yang, Manzhu Yu, Fei Hu, Yongyao Jiang, Yun Li

Research output: Contribution to journalArticlepeer-review

144 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)120-128
Number of pages9
JournalComputers, Environment and Urban Systems
StatePublished - Jan 1 2017

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Ecological Modeling
  • General Environmental Science
  • Urban Studies


Dive into the research topics of 'Utilizing Cloud Computing to address big geospatial data challenges'. Together they form a unique fingerprint.

Cite this