In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
The complexity of computational grid applications and their environments has been increased due to the heterogeneity of resources; complexity, continuous changes of the applicatio...
Yoonhee Kim, Ilkyeun Ra, Sung-Yong Park, Byoung uk...
We present a general framework for reasoning about network worms and analyzing the potency of worms within a specific network. First, we present a discussion of the life cycle of ...
Abstract-We present a novel approach for latency-tolerant remote visualization and rendering where client-side frame rate display performance is independent of source dataset size,...
In-situ reconfiguration of software is indispensable in embedded networked sensing systems. It is required for re-tasking a deployed network, fixing bugs, introducing new features...