Adaptation of task execution strategies in dynamic and uncertain environments by cooperation between networked autonomous systems.

01 February 2016 → 30 November 2020
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
autonomous systems distributed systems self-adaptation
Project description

Application developers cannot anticipate at design time the scale and complexity of real-life environments where networked autonomous systems will be deployed. The goal of this project is to enable such systems to adapt task execution to the runtime context through resource-aware negotiation and invocation of capabilities provided by other systems in the environment.