Cloud-based Federation and Fusion of Distributed Geospatial Data Sources for Supporting Hurricane Response: Requirements, Challe

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CAIT project no.: CAIT-UTC-047

Fiscal Year: 2013/2014

Status: Final

Rutgers-CAIT Author(s): Jie Gong, Assistant Professor, Patrick Szary, Ph.D.

External Author(s): Ali Maher, Professor

Sponsor(s): FHWA - RITA, CAIT - Rutgers University


Unlike most weather events, hurricanes have the capacity to topple a large region within a span of a few days. Increasingly, preparing for and responding to a major hurricane event involves intensive collaborations between multiple agencies and organizations, some of them are geographically distant. To facilitate large-scale collaborations, technology is required that enables data at multiple sites, often geospatially coded, to be interlinked and presented as a unified source, allowing stakeholders to perform integrative analyses. However, such collaborations are often hampered by several obstacles: (1) Agencies and utility owners are often reluctant to openly share their own data sets due to their concerns on data security; (2) Sharing and moving of large-scale data sets are difficult, especially over the internet; and (3) Lack of data management solutions that are both scalable and distributed to accommodate various integrative analysis needs. As the result, integrative analyses of system vulnerabilities and system-level planning on response and recovery actions are often not possible.