We focus on automatically diagnosing different performance problems in parallel file systems by identifying, gathering and analyzing OS-level, black-box performance metrics on eve...
Michael P. Kasick, Jiaqi Tan, Rajeev Gandhi, Priya...
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable ...
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
Abstract. Autonomous cooperating logistic processes seem to be a promising approach to increase the robustness of logistics systems. Searching for the necessary organizational prer...
This paper focuses on "router-based" defense mechanisms, and whether they can provide effective solutions to network Denialof-Service (DoS) attacks. Router-based defense...