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AIPS
2007
13 years 8 months ago
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans
Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
Julie A. Shah, John Stedl, Brian C. Williams, Paul...
JPDC
2007
92views more  JPDC 2007»
13 years 6 months ago
Dynamically mapping tasks with priorities and multiple deadlines in a heterogeneous environment
In a distributed heterogeneous computing system, the resources have different capabilities and tasks have different requirements. To maximize the performance of the system, it is ...
Jong-Kook Kim, Sameer Shivle, Howard Jay Siegel, A...
RTS
2008
119views more  RTS 2008»
13 years 5 months ago
Symbolic quality control for multimedia applications
We present a fine grain quality control method for multimedia applications. The method takes as input an application software composed of actions. The execution times of actions a...
Jacques Combaz, Jean-Claude Fernandez, Joseph Sifa...
IPPS
2000
IEEE
13 years 10 months ago
Quality of Service Negotiation for Distributed, Dynamic Real-Time Systems
Dynamic, distributed, real-time systems control an environment that varies widely without any time-invariant statistical or deterministic characteristic, are spread across multiple...
Charles Cavanaugh, Lonnie R. Welch, Behrooz Shiraz...
MICAI
2005
Springer
13 years 11 months ago
Maximizing Future Options: An On-Line Real-Time Planning Method
Abstract. In highly dynamic environments with uncertainty the elaboration of long or rigid plans is useless because the constructed plans are frequently dismissed by the arrival or...
Ramón F. Brena, Emmanuel Martinez