Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
Vladimir Shestak, Jay Smith, Anthony A. Maciejewsk...
The costs of data loss and unavailability can be large, so businesses use many data protection techniques, such as remote mirroring, snapshots and backups, to guard against failur...
Shravan Gaonkar, Kimberly Keeton, Arif Merchant, W...
Abstract. In this paper, we mix two well-known approaches of the fault-tolerance: robustness and stabilization. Robustness is the aptitude of an algorithm to withstand permanent fa...
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...