Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework
Autonomous Agents and Multi-Agent Systems
The Soft Real-Time Agent Control Architecture
Autonomous Agents and Multi-Agent Systems
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TAEMS is an abstract task modeling framework used to describe the major components of tasks and to reason about trade-offs between various possible approaches of performing tasks. To better model certain classes of tasks that arise in distributed environments, we have enhanced the model to more accurately portray two classes of intermittent processing activities -- those that contain embedded delays, such as embedded I/O, and those that are affected by external delays, e.g., slow propagation of results from a different location. The enhancements are important because they help identify situations where local processing resources are under utilized and possibly idle. Accordingly, we must modify the Design-to-Criteria scheduling process and leverage the enhanced model to produce more efficient schedules. Modifications include determining when it is possible to overlap actions that contain embedded delays, and the ramifications to their execution profiles, and deciding what actions may be performed during an external delay.