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Military operators require relevant information from Intelligence, Surveillance and Reconnaissance (ISR) assets to make timely decisions and to issue effective responses to mission events. Today's sensing and Command and Control (C2) systems blindly collect and pass all available ISR data, which results in data overload that increases demand for communications bandwidth and processing power, with...
Small satellites (Small Sats) (i.e., satellites weighing less than 100 kg) are attracting interest in the Department of Defense (DoD), Intelligence Community (IC) and commercial market for space-based data collection (e.g., imaging) and communication (e.g., links or relays). In fact, many emerging missions use constellations of many (e.g., greater 100) Small Sats for these purposes. Small Sats can...
Discrete Event Simulation (DES) is a proven methodology that enables the effective combination of modeling and mathematics. DES has been used for many applications ranging from aeronautics to health care to transportation. In this paper, we apply a novel DES architecture that is dynamically adaptable to support decision making for multiple and diverse mission areas (i.e., missile defense, cyber offense,...
Recent events highlight the need for technologies that provide timely identification and geo-location of objects lost within a geographic area that could span tens of thousands of square kilometers over both land and water. Mission critical systems for search and rescue require technologies that provide timely identification and geolocation of objects within these vast geographic areas. Even though...
DoD, government agency, and commercial information technology systems are rapidly evolving from isolated enclaves to fully interoperable, net-centric, cloud-based enterprise systems where the vast amount of available data on which to make decisions is overwhelming end-users (e.g., mission commanders, operators and analysts). Many of these data are not useful for the mission at hand and must be extracted...
Within a cost-constrained economic environment, the DoD, government agencies, and commercial businesses seek to maximize mission capacity by sharing services across mission segments over an integrated infrastructure using a common mission control system. To accomplish this goal, a new technique is required to orchestrate the execution of existing and emerging mission services. The Dynamic Mission...
DoD manned and unmanned air systems require multiple mission phases, each with unique procedures, algorithms and checklists that are implemented through a variety of hardware and software mechanisms, all within the same mission. This approach is not efficient with respect to mission processing, staffing, and training. The End-to-End Applications and Algorithm Integration (E2A2I) Method and Architecture...
Manpower is driving up DoD costs while DoD budgets are shrinking; therefore the DoD customer seeks a solution to enable increased mission capacity along with staff reductions. One way to accomplish this is through an autonomous capability to support end-to-end mission activities. The Mission Information Autonomous Intelligent Decision Engine (MiAide) approach for meeting this objective is to create...
Advances in sensor observation and collection technology, coupled with the use of multiple sensors distributed amongst multiple transport platforms to support a single mission; create the potentially crippling problem of data overload for DoD operators and imagery and video analysts as they strive to provide processing, exploitation, and dissemination (PED) to the end-user (i.e., warfighter). These...
Department of Defense (DoD) intelligence, surveillance, and reconnaissance (ISR) assets; including manned and unmanned airborne, space-borne, maritime, and terrestrial systems; play critical roles in support of current and future military operations. However, military services and defense agencies face an ever growing challenge of effectively processing, exploiting, and disseminating ISR data from...
As military, academic, and commercial computing systems evolve from autonomous entities that deliver computing products into network centric enterprise systems that deliver computing as a service, opportunities emerge to consolidate computing resources, software and information through cloud computing. Along with these opportunities come challenges, especially to service providers and operations centers...
Disparate customer support centers in an enterprise system apply different monitoring and analysis tools while attempting to ensure quality of service for the end-user. These tools provide inconsistent metrics that make problem resolution inefficient and reactive rather than proactive and effective. A systems engineering approach is proposed that considers enterprise monitoring and analysis in high-speed...
As the communications systems of the Department of Defense (DoD), academia, and the commercial world transform from autonomous entities into network centric enterprise systems, service providers and operators struggle to monitor and mange these systems in order to meet customer service commitments. These once independent networks now comprise interdependent systems that integrate into a higher order...
Within an enterprise system, there exist many specific service-based metrics that apply to end-to-end monitoring and management of information. To assist network operators and service providers in understanding end user issues, it is helpful to group related service-based metrics together into larger metric categories. This paper addresses the lack of consistent and meaningful metric terminology for...
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