Soldiers and front-line personnel operating in tactical environments increasingly make use of handheld devices to help with tasks such as face recognition, language translation, decision making, and mission planning. These resource-constrained edge environments are characterized by dynamic context, limited computing resources, high levels of stress, and intermittent network connectivity. Cyber-foraging leverages external resource-rich surrogates to augment the capabilities of resource-limited devices. In cloudlet-based cyber-foraging, resource-intensive computation and data are offloaded to cloudlets. Forward-deployed, discoverable, virtual-machine-based tactical cloudlets can be hosted on vehicles or other platforms to provide infrastructure to offload computation, provide forward data staging for a mission, perform data filtering to remove unnecessary data from streams intended for dismounted users, and serve as collection points for data heading for enterprise repositories. This webinar presents the tactical cloudlet concept and experimentation results for five different cloudlet provisioning mechanisms.
The goal is to demonstrate that cyber-foraging in tactical environments is possible by moving cloud computing concepts and technologies closer to the edge so that tactical cloudlets, even if disconnected from the enterprise, can provide capabilities that enable enhanced situational awareness and decision making at the edge.
Grace A. Lewis is the deputy lead for the SEI's Advanced Mobile Systems initiative and the technical lead for the Edge-Enabled Tactical Systems research team, which works on a number of projects related to mobile systems at the edge. Her main interests are mobile computing, service-oriented architecture, and cloud computing. Lewis has more than 20 years of professional software development experience, mainly in industry. Before joining the SEI, Lewis was chief of systems development for Icesi University, where she served as project manager and technical lead for the university-wide administrative systems.