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Full-Text Articles in Physical Sciences and Mathematics
Robust Fuzzy Cpu Utilization Control For Dynamic Workloads, Can Basaran, Mehmet H. Suzer, Kyoung-Don Kang, Xue Liu
Robust Fuzzy Cpu Utilization Control For Dynamic Workloads, Can Basaran, Mehmet H. Suzer, Kyoung-Don Kang, Xue Liu
Computer Science Faculty Scholarship
In a number of real-time applications such as target tracking, precise workloads are unknown a priori but may dynamically vary, for example, based on the changing number of targets to track. It is important to manage the CPU utilization, via feedback control, to avoid severe overload or underutilization even in the presence of dynamic workloads. However, it is challenge to model a real-time system for feedback control, as computer systems cannot be modeled via physics laws. In this paper, we present a novel closed-loop approach for utilization control based on formal fuzzy logic control theory, which is very effective to …
Visual Discovery In Multivariate Binary Data, Boris Kovalerchuk, Florian Delizy, Logan Riggs, Evgenii Vityaev
Visual Discovery In Multivariate Binary Data, Boris Kovalerchuk, Florian Delizy, Logan Riggs, Evgenii Vityaev
Computer Science Faculty Scholarship
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discovering breast cancer diagnostic rules (i) interactively with a radiologist, (ii) analytically with data mining algorithms, and (iii) visually. The coordinated visualization of these rules opens an opportunity to coordinate the rules, and to come up with rules that are meaningful for the expert in the field, and are confirmed with the database. This paper shows how to represent and visualize binary multivariate data in 2-D and 3-D. This representation preserves the structural relations that …
Towards Context-Aware Real-Time Information Dissemination, Kyoung-Don Kang, Greg Vert
Towards Context-Aware Real-Time Information Dissemination, Kyoung-Don Kang, Greg Vert
Computer Science Faculty Scholarship
Real-time information dissemination is essential for the success of key applications such as transportation management and battlefield monitoring. In these applications, relevant information should be disseminated to interested users in a timely fashion. However, it is challenging to support timely information dissemination due to the limited and even time-varying network bandwidth. Thus, a naive approach disseminating every data with no consideration of the context that describes where and when the data is acquired and how it can satisfy users may only provide poor performance and user perceived quality of service (QoS). To address the problem, we design a novel context-aware …