Abstract: A method and apparatus has been shown and described which allows Quality of Service to be controlled at a temporal granularity. Time-value curves, generated for each task, ensure that mission resources are utilized in a manner which optimizes mission performance. It should be noted, however, that although the present invention has shown and described the use of time-value curves as applied to mission workflow tasks, the present invention is not limited to this application; rather, it can be readily appreciated by one of skill in the art that time-value curves may be used to optimize the delivery of any resource to any consumer by taking into account the dynamic environment of the consumer and resource.

Abstract: A method and apparatus has been shown and described which allows Quality of Service to be controlled at a temporal granularity. Time-value curves, generated for each task, ensure that mission resources are utilized in a manner which optimizes mission performance. It should be noted, however, that although the present invention has shown and described the use of time-value curves as applied to mission workflow tasks, the present invention is not limited to this application; rather, it can be readily appreciated by one of skill in the art that time-value curves may be used to optimize the delivery of any resource to any consumer by taking into account the dynamic environment of the consumer and resource.

Abstract: A method and apparatus has been shown and described which allows Quality of Service to be controlled at a temporal granularity. Time-value curves, generated for each task, ensure that mission resources are utilized in a manner which optimizes mission performance. It should be noted, however, that although the present invention has shown and described the use of time-value curves as applied to mission workflow tasks, the present invention is not limited to this application; rather, it can be readily appreciated by one of skill in the art that time-value curves may be used to optimize the delivery of any resource to any consumer by taking into account the dynamic environment of the consumer and resource.

Abstract: A method and apparatus has been shown and described which allows Quality of Service to be controlled at a temporal granularity. Time-value curves, generated for each task, ensure that mission resources are utilized in a manner which optimizes mission performance.

Abstract: A method and architecture of the present invention uses market-driven resource selection and mission deployment techniques to increase mission performance by optimizing network resource utilization. A mission controller forwards a service tender to a plurality of coupled network service entities to inquire about the costs associated with one or more services in the service set of the mission. Each network service entity may return a bid to the mission controller including a projected cost for the performance of the one or more services by the associated network service entity. The mission controller evaluates the bids received from the network service entities to select a network service entity for mission execution. Network resources selection is thus optimized using real-time network service entity cost information, thereby increasing the chance for mission success. Network service entities may increase revenue by identifying opportunities to participate in missions suited to their capabilities.

Abstract: A mechanism and framework is disclosed for translating high level goal statements to policy rules. In a first step, high level goal statements are translated to network services. In a second step, the network services are translated to network parameters. In a third step, the network parameters are translated to policy rules. The first step may be facilitated with Web Ontology Language (“OWL”) and semantic templates. Advantages of automated mission goal statement to policy statement translation for surveillance missions include more reliable and faster planning and allocation of resources in support of the missions. Further, dynamic allocation of network resources facilitates adapting to changing conditions and more graceful degradation in adverse circumstances. The need for subject matter experts is also expected to be mitigated.