As cloud computing has become a popular computing paradigm, many companies have
begun to build increasing numbers of energy hungry data centers for hosting cloud …

Modern automotive and avionics embedded systems integrate several functionalities that
are subject to complex timing requirements. A typical application in these fields is composed …

Efficient data dissemination is one of the fundamental requirements to enable emerging
applications in vehicular cyber-physical systems. In this paper, we present the first study on …

Data quality assessment has been discussed intensively in the literature and is critical in
business. The importance of using up-to-date data in business, innovation, and decision …

When pricing options via Monte Carlo simulations, precision can be improved either by
performing longer simulations, or by reducing the variance of the estimators. Two methods …

Although the deferrable scheduling algorithm for fixed priority transactions (DS-FP) has
been shown to provide a better performance compared with the More-Less (ML) method …

Maintaining the freshness of real-time data is one of the crucial design issues in cyber-
physical systems (CPS). Past studies have focused on designing update algorithms to …

Maintaining sensor data validity while exercising timely control is crucial in real-time sensing
and control systems. The goal of scheduling algorithms deployed in such systems is to …

Scheduling real-time update transactions to maintain data freshness is an important issue in
real-time database system design, especially for data-intensive embedded applications …

Temporal consistency analysis is an important problem in Real-Time Database Systems
(RTDBSs). Most of existing works on hybrid transaction co-scheduling focus on exploring …