The goal of this paper is to enable near-realtime acquisition and processing of high resolution, high-quality, heterogeneous data from mobile and static sensing platforms to advance ocean exploration by providing infrastructure for a distributed computing framework. Reaching this goal will improve the efficiency of monitoring dynamic oceanographic phenomena such as phytoplankton growth and rate of photosynthesis, salinity and temperature gradient, and concentration of pollutants. resource provisioning framework for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool a hybrid static/mobile computing grid is presented. This local computing grid can be harnessed to enable innovative data- and compute-intensive mobile applications such as onshore near-real-time data processing, analysis and visualization, mission planning and online ocean adaptive sampling.