Accelerating geocomputation with cloud computing

Qunying Huang, Zhenlong Li, Jizhe Xia, Yunfeng Jiang, Chen Xu, Kai Liu, Manzhu Yu, Chaowei Yang

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

The scientific and engineering advancements in the twenty-first century pose computing intensive challenges in managing Big Data, using complex algorithms to extract information and knowledge from Big Data, and simulating physical and social phenomena. Cloud computing is considered as the next generation computing platform with the potential to address these computing challenges and redefine the possibilities of geoscience and digital Earth. This chapter introduces through examples how cloud computing can help accelerate geocomputation with: (1) easy and fast access to computing resources that can be available in seconds to minutes, (2) elastic computing resources to handle spike computing loads, (3) high-end computing capacity to address large-scale computing demands, and (4) distributed services and computing to handle the distributed geoscience problems, data and users.

Original languageEnglish (US)
Title of host publicationModern accelerator technologies for geographic information science
PublisherSpringer US
Pages41-51
Number of pages11
Volume9781461487456
ISBN (Electronic)9781461487456
ISBN (Print)1461487447, 9781461487449
DOIs
StatePublished - Aug 1 2013

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Accelerating geocomputation with cloud computing'. Together they form a unique fingerprint.

Cite this