Alvaro H. Mamani-Aliaga

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This paper presents the architecture of Maritaca, a cloud infrastructure for mobile data collection. The system allows the user create mobile Apps for data gathering using simple interfaces; no programming skill is needed. The platform collects conventional data and, in addition, allows to collect multimedia, location information, sketches, barcodes, etc.(More)
Cloud-based offloading may improve mobile application performance and reduce energy consumption by migrating mobile code execution to the cloud. Nevertheless, it is not always the best bet, because of the high WAN delay. This article presents Pytos, a framework for Python, that allows code migration to the network edge (cloudlet), mitigating latency(More)
The large amount of data processing is growing fast. In many scenarios, both in industry and academia, high-performance computing (HPC) is a needed to process Big Data in short time. An important topic in HPC is task scheduling. In this context, several scheduling algorithms for grid computing have been proposed, but these algorithms have not been yet fully(More)
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