Finalized:Saturday, October 1, 2016
Author(s):Yang C., Yu M., Hu F., Jiang Y., Li Y.
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 it may bring significant value through the processing of a large amount of data. The transformation of Big Data's four Vs into the fifth V (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) broadband access, and (e) measured services. The utility of delivering computing capability fosters a potential solution for the transformation of Big Data's four Vs into the fifth V. 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 modeling. The method is presented in a tabular framework as a guidance to leverage cloud computing for Big Data solutions. It is illustrated 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.
Yang C., Yu M., Hu F., Jiang Y., Li Y.. (2016) "Utilizing Cloud Computing to Address Big Geospatial Data Challenges," Computers, Environment, and Urban Systems. 61. DOI: 10.1016/j.compenvurbsys.2016.10.010This material is based upon work supported by the National Science Foundation under Grant No. 1540998, 1541049. Opinions, findings, conclusions or recommendations expressed are those of the authors and do not reflect the views of the NSF.