Predictive Modeling for Telemedicine Service Demand

Forecasting the Demand for Resources through a Predictive Modeling Approach

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by pr...

Probabilistic Modeling of Computing Demand for Service Level Agreement

Cloud computing applications must be allocated sufficient resources to comply with Service Level Agreements (SLAs). This paper considers data-driven probabilistic modeling of application resource demand for resource allocation. The modeling method is focused on peak demand and SLA violations and relies on a branch of statistics known as extreme value theory (EVT). Rigorous statistical validatio...

DEMAND ESTIMATES FOR AGRICULTURAL, MANUFACTURING AND SERVICE PRODUCTS

Modeling Demand Response Using Utility Theory and Model Predictive Control

Today’s power generation and distribution systems are designed to accommodate peak and not average demand. Due to uncertainty of weather and users’ convenience-driven consumption behavior, electricity demand varies significantly over a daily cycle, thus the waste of a significant portion of the system’s capacity. On the other hand, demand response has long been proposed to incentivizing consume...

802.11s QoS Routing for Telemedicine Service

Received Dec 3, 2013 Revised Jan 7, 2014 Accepted Feb 3, 2014 The merits of 802.11s as the wireless mesh network standard provide a low cost and high independent scalability telemedicine infrastructure. However, challenges in degradation of performance as hops increase and the absent of Quality of Service (QoS) provision need to be resolved. The reliability and timely manner are the important f...