Agent-as-a-service-based geospatial service aggregation in the cloud: A case study of flood response

Xicheng Tan, Liping Di, Meixia Deng, Fang Huang, Xinyue Ye, Zongyao Sha, Ziheng Sun, Weishu Gong, Yuanzheng Shao, Cheng Huang

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


An Agent-as-a-Service (AaaS)-based geospatial service aggregation is proposed to build a more efficient, robust and intelligent geospatial service system in the Cloud for flood emergency response. It involves an AaaS infrastructure, encompassing the mechanisms and algorithms for geospatial Web Processing Service (WPS) generation, geoprocessing and aggregation. The method has the following advantages: 1) it allows separately hosted services and data to work together, avoiding transfers of large volumes of spatial data over the network; 2) it enriches geospatial service resources in the distributed environment by utilizing the agent cloning, migration and service regeneration capabilities of the AaaS, solving issues associated with lack of geospatial services to a certain extent; 3) it enables the migration of services to target nodes to finish a task, strengthening decentralization and enhancing the robustness of geospatial service aggregation; and 4) it helps domain experts and authorities solve interdisciplinary emergency issues using various Agent-generated geospatial services.

Original languageEnglish (US)
Pages (from-to)210-225
Number of pages16
JournalEnvironmental Modelling and Software
StatePublished - Oct 1 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling


  • Agent
  • Cloud computing
  • Flood response
  • Geospatial service
  • Open geospatial consortium (OGC)
  • Service aggregation
  • X-as-a-service


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