Distributed visual analytics for collaborative emergency response management.
In emergency response management, there is a large volume of incoming data and minimal time to process it before making critical decisions. Multiple experts, physicians, incident commander who are geographically distributed, collaboratively work on the collected data to make efficient and timely decisions. In this paper we introduce a distributed visualization environment that supports collaboration among geographically dispersed users. To achieve synchronized update among multiple users we introduce a group synchronization technique which employs an adaptive time adjusting algorithm to modify the output time of the visualization unit. In order to evaluate our system we have developed an interactive synchronous visualization unit, and tested our work by running it on varying network delay collaborative servers and achieve time synchronization among them.
Natarajan
Sriram
S
Electrical & Computer Engineering Department, University of Massachusetts, Amherst, MA 01003, USA.
Ganz
Aura
A
D000465:Algorithms; D004630:Emergencies; D007256:Information Systems; D054527:Mass Casualty Incidents