Edward David Moreno

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Despite of Cloud infrastructures can be used as High Performance Computing (HPC) platforms, many issues from virtualization overhead had kept them unrelated. However, with advent of container-based virtualizers, this scenario acquires new perspectives because this technique promises to decrease the virtualization overhead, achieving a near-native(More)
Embedded devices are present in many of our daily activities. In some of these activities is necessary to protect the data from possible attacks. Due to resource constraints, it is necessary to study security techniques that consume the least possible resources of embedded platforms. This paper presents the performance evaluation of asymmetric cryptographic(More)
A Wireless Sensor Network (WSN) is composed of autonomous devices called sensor nodes that generally have low computational power, limited data transmission and power constraints. AWSN consists of sensor nodes that capturing information from an environment, processing data and transmitting them via radio signals. WSNs are increasingly present in our days(More)
This paper describes the implementation of a platform based on reconfigurable architecture and on concepts of virtual instrumentation and its application to the hands-free driving problem. The novelty of this approach is the use of both reconfigurable systems (for developing the car’s controller) and virtual instrumentation issues for developing a(More)
This paper proposes a new method of code compression for embedded systems called by us as CC-MLD (Compressed Code using Huffman-Based Multi-Level Dictionary). This method applies two compression techniques and it uses the Huffman code compression algorithm. A single dictionary is divided into two levels and it is shared by both techniques. We performed(More)
This paper presents an innovative and efficient approach to code compression. Our method reduces code size by up to 32.6% and 31.9% (including all extra costs) respectively, for ARM and MIPS processor, and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations and analyzes, using the applications from benchmark(More)
This paper presents a new code compression method where we use different dictionaries, all of them are based in traditional Huffman algorithm. Our method reduces code size by up to 34.5% (including all extra costs) and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations using Simple Scalar and analyzes using(More)
Several factors are considered in the development of embedded systems, among which may be mentioned: physical size, weight, mobility, power consumption, memory, safety, all combined with a low cost and ease of use. There are several techniques to optimize the execution time and power consumption in embedded systems. One such technique is the code(More)
Internet of Things (IoT) applications carry on at an environment that is mainly highly dynamic and real time nature. Due that environment, such applications should be able to reason autonomously and give self-adaptive decisions. To date, there has not been an adequate architecture to incorporate self-adaptive property in that type of environment. Thus, we(More)