Towards the Parallel Computing Based on Quality of Service

Abstract. Despite the existence of a series of applications that demand high performance computing, there are two strong restrictions to the effective use of parallel computing applications: (1) the high costs in the environments of parallel computing (typically, clusters and parallel machines) and (2) the dedicated character of these architectures (fact that generates a great degree of idleness of these platforms). This paper presents an architecture to provide parallel computing in traditional environments (non-dedicated), MPI_QoS calls, which is based on the concepts of quality of service (QoS) to assure low time responses necessary to this kind of computation. Keywords: Parallel Computing, QoS, MPI, Real-time Linux. 1

SmartCoM: Smart Consumption Management Architecture for Providing a User-Friendly Smart Home based on Metering and Computational Intelligence

Abstract With advances in information technology for health and wellness, Smart Home-based solution providers using Internet of Things (IoT) technologies, have increased in importance and become accepted as an alternative means of saving energy when based on Home Energy Management Systems (HEMS). This paper defines a modern architecture (SmartCoM), which is implemented to monitor and manage residential dwellings by using IoT technologies. This involves setting out the parameters that can make interoperability possible between measurement and management, and the layers of data communication, which are the features necessary for the hardware required for monitoring and measurement. In addition, an interface is defined by a middleware layer to integrate the management of external installations and the visualization of data by means of a cloud service. The SmartCoM end-to-end architecture is defined in detail from the standpoint of the consumer and optimization strategies are employed for both the end customer and the utility. The main advantages of using SmartCoM were confirmed by the numerical results obtained from the proposed architecture. This paper ends by showing the current position of SmartCoM as well as suggesting further stages for this line of research

Computational Parallelization Strategy Applied in Full 3D Ray-Tracing Wireless Channel Modeling

Abstract-This paper presents a computational parallelization strategy applied in propagation models based on 3D ray-tracing techniques. This approach considers that the rays are independent from each other, what allows a uniform division of the tasks by equal and random distribution of rays among the parallel computer nodes. The strategy efficiency is proved by simulation where the results are discussed