Draper Laboratory Engineering Solutions to Problems of National Significance  

 
 
 

Distributed Systems

Draper brings a unique, control-theoretic perspective to the solution of complex problems arising in large-scale distributed systems, offering our sponsors timely, robust, near-optimal solutions that are grounded firmly in control and decision theory.

Distributed Systems - Mason Morfit
We have leveraged our broad experience in vehicle guidance, navigation, and control and autonomy successfully to develop a suite of capabilities that address sensing, state estimation, and closed-loop command and control for a spectrum of large-scale distributed systems, including battle management for joint military operations, large-scale ground- and space-based sensor networks, system-wide rail and air traffic flow control, and nationwide logistic systems.

Draper has developed the novel system architectures, optimization methods, and computational strategies needed to close complex decision loops in real time, thereby giving our sponsors information dominance on the battlefield as well as in the marketplace. We have created the capability to achieve system-wide objectives efficiently and effectively through optimal planning, scheduling, and allocating of resources for the activities of the many disparate elements of a large-scale enterprise. This includes employment of sensors (theater, tactical, and organic) to collect information to improve situation awareness and management of communications networks to support collection, analysis, planning, and dissemination.

These coupled problems are best solved as an integrated whole in real time since acting on stale information can result in ineffective and inefficient use of resources. The associated delayed response can result in lost opportunities. Based on hierarchical problem decomposition and novel, efficient optimization techniques, we have made advances in both the formulation of large-scale optimization problems and their solution. These advances allow us to generate good solutions rapidly, while capitalizing on high rate enterprise state updates.

A large-scale probabilistic model that fuses enterprise-wide feedback data/information to improve estimates of enterprise state has been designed to complement planning, scheduling, and resource allocation algorithms. We have developed solutions to determine how, when, and to whom, within the enterprise, to disseminate state information.

To ensure the integrity and security of the stored and transmitted information, we have developed secure and intrusion-tolerant information assurance technologies that address awareness, access, dissemination, and query. The heterogeneous networking and communications employed by large-scale enterprises are addressed as elements of the integrated problem, as each supports both the planning and the execution of plans.

Draper has invested in emerging networking technologies, including energy- and location-aware mobile ad hoc networks, and in a spectrum of physical layer technologies, including 802.11, Bluetooth, underwater acoustic, optical, and satellite communications.

Finally, we have begun to address issues related to rapid integration of the best that both the human operator and the computer offer toward devising and executing a solution, enabling its implementation by the system in real time. By identifying and solving these challenging problems, Draper is expanding the capability of distributed systems technology.

Facilities

  • C4I Laboratory
  • Information security test facility
  • Ad Hoc Networking Laboratory

Applications

  • Air operations planning and control
  • Integrated information, surveillance, and reconnaissance and strike operations planning
  • Global military logistics
  • Collaborative en route and arrival/departure air transportation planning
  • Fault- and intrusion-tolerant information assurance
  • Market-based allocation of shared sensor resources

Technologies / Capabilities

  • Sensing, estimation, and situation assessment
  • Command and control
  • Large-scale probabilistic models
  • Information assurance and security
  • Hierarchical problem decomposition and large-scale optimization techniques