Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
We present a game-theoretic model of the interactions between server and clients in a constrained family of commercial P2P computations (where clients are financially compensated...
Matthew Yurkewych, Brian Neil Levine, Arnold L. Ro...
Abstract— Recent research trends and technology developments are bringing us closer to the realization of autonomous multirobot systems performing increasingly complex missions. ...
Temperature affects not only the reliability but also the performance, power, and cost of the embedded system. This paper proposes a thermal-aware task allocation and scheduling a...
— The global internet is rich in commodity resources but scarce in specialized resources. We argue that a grid framework can achieve better performance if it separates management...
— The dangerous and time sensitive nature of a disaster area makes it an ideal application for robotic exploration. Our long term goal is to enable humans, software agents, and a...
We consider the problem of distributed task allocation across swarm units comprising a swarm-based system. We model task allocation as a dynamic pricing problem within a market se...
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
This paper proposes a new variant of the task allocation problem, where the agents are connected in a social network and tasks arrive at the agents distributed over the network. W...
Through automated negotiation we aim to improve task allocation in a distributed sensor network. In particular, we look at a type of adaptive weather-sensing radar that permits th...