Opportunistic network created among mobile devices in challenged environments can be effectively exploited to provide application services. However, data and services may be subject to space and time constraints in challenged environments where it is critical to complete application services within given spatiotemporal limits. This paper discusses an analytical framework that takes into account human mobility traces and provides quantitative measures of the spatiotemporal requirements for service sharing and composition in challenged opportunistic environments. The analytical results provide estimates on feasibility of service sharing and service compositions for various mobility models. To validate the framework, we conduct simulation experiments using multiple human mobility and synthesized datasets. In these experiments, we analyze service composition feasibility, service completion rate and time for resource utilization.
Date of creation, presentation, or exhibit
Department, Program, or Center
Computer Science (GCCIS)
D. Kasamatsu, M. Kumar and P. Hu, "Service Compositions in Challenged Mobile Environments under Spatiotemporal Constraints," 2017 IEEE International Conference on Smart Computing (SMARTCOMP), Hong Kong, 2017, pp. 1-8, doi: 10.1109/SMARTCOMP.2017.7947044.
RIT – Main Campus
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