Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Many middleware platforms use computational reflection to support adaptive functionality. Most approaches intertwine the activity of observing behavior (introspection) with the a...
Eric P. Kasten, Philip K. McKinley, Seyed Masoud S...
Parallel computing has become an important research field in the last years. The availability of hardware and the success of grid computing have motivated this interest. In this pa...
We study the security challenges faced by the mobile agent paradigm, where code travels and performs computations on remote hosts in an autonomous manner. We define universally co...
Since TCP can only detect congestion after packet losses have already happened, various forms of Fast TCP (FTCP) have been proposed to notify congestion early and avoid packet los...