Leonardo Roever1* and Gustavo BF Oliveira2 1Department of Clinical Research, Federal University of Uberlândia, Uberlândia, Brazil 2Research Division, Dante Pazzanese Institute of Cardiology, São Paulo, Brazil *Corresponding author: Roever L, et al. Department of Clinical Research, Av Pará, 1720-Bairro Umuarama, Uberlândia-MG-CEP 38400-902, Brazil, Tel: +553488039878; E-mail: leonardoroever@hotm...

Increasing complexity of modern multi-processor system on chip (MPSoC) and the decreasing feature size have introduced new challenges. System designers have to consider now aspects which were not part of the design process in past times. Resource-aware Computing is one of such emerging design concerns which can help to improve performance, dependability and resource utilization of overall syste...

Recently, there are many studies to adopt the workflow model, which has been successively applied to traditional computing environments, into ubiquitous computing environments for context-aware and autonomous services. A service in the ubiquitous computing environments must be executed according to a user’s situation information, which is generated dynamically from sensors. However, such existi...

There has been a move of context-aware systems into safety-critical domains including healthcare, emergency scenarios, and disaster recovery. These systems are often distributed and deployed on resource-bounded devices. Therefore, developing formal techniques for modelling and designing context-aware systems, verifying requirements and ensuring functional correctness are major challenges. We pr...

Job scheduling policies for HPC centers have been extensively studied in the last few years, specially backfilling based policies. Almost all of these studies have been done using simulation tools. All the existent simulators use the runtime (either estimated or real) provided in the workload as a basis of their simulations. In our previous work we analyzed the impact on system performance of c...

This paper presents a novel resource-aware framework for the implementation of distributed particle filters in resource-constrained wireless camera networks (WCNs). WCNs often suffer from communication failures caused by physical limitations of the communication channel as well as network congestion. Unreliable communication degrades the visual information shared by the cameras, such as visual ...