Browsing by Author "Benedetto Causa, José Ignacio"
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- ItemA Cloud-based Mobile System for Improving Vital Signs Monitoring During Hospital Transfers(2015) Neyem, Andrés; Valenzuela, Guillermo; Risso, Nicolas; Rojas Riethmuller, Juan S.; Benedetto Causa, José Ignacio; Carrillo, Marie J.
- ItemA Cloud-Based Mobile System to Improve Project Management Skills in Software Engineering Capstone Courses(2018) Neyem, Andrés; Diaz-Mosquera, Juan; Benedetto Causa, José Ignacio
- ItemA performance comparison of heuristics for scheduling jobs in hybrid mobile topologies(IEEE, 2019) Sanabria Quispe, Pablo; Tapia, T. F.; Benedetto Causa, José Ignacio; Hirsch, M.; Mateos, C.; Zunino, A.Hardware improvements of mobile devices have allowed them to be considered as first-class resources at the edge, which has led to the need to propose new techniques and scheduling heuristics to make efficient usage of these devices. Current scheduling heuristics available in the literature do not take into account mobile grid nodes that do not rely on batteries to work, a factor that is of great importance in the advent of mobile-edge computing. In this paper we propose a simple algorithm that incorporates a more advanced awareness of a mobile device's power supply and we show that incorporating this characteristic can enable these heuristics to manage edge resources in a more efficient way.
- ItemCode Offloading Solutions for Audio Processing in Mobile Healthcare Applications: A Case Study(IEEE, 2018) Sanabria Quispe, Pablo; Benedetto Causa, José Ignacio; Neyem, Andrés; Navón Cohen, Jaime; Poellabauer, C.In this paper, we present a real-life case study of a mobile healthcare application that leverages code offloading techniques to accelerate the execution of a complex deep neural network algorithm for analyzing audio samples. Resource-intensive machine learning tasks take a significant time to complete on high-end devices, while lower-end devices may outright crash when attempting to run them. In our experiments, offloading granted the former a 3.6x performance improvement, and up to 80% reduction in energy consumption; while the latter gained the capability of running a process they originally could not.
- ItemExploiting Group Shuffling Dynamics to Convey the Importance of Good Software Design(IEEE, 2020) Benedetto Causa, José Ignacio; Navón Cohen, JaimeAnalysis, modeling and design activities are integral parts of any modern software development project. However, educators often struggle in convincing undergraduate students of their value. Grasping the importance of good software design requires a certain maturity that is not yet attained in the first years of a computer science curriculum. In this study, we introduce group shuffling dynamics to a formal software design course to convey the importance of these concepts by exposing students to the experience of switching groups mid-semester. This grants a whole new perspective on the matter as the cost of managing technical debt is felt when the respective developers leave, and modeling artifacts become pivotal in aiding the incorporation of new team members. This short paper presents our first experience while implementing this methodology and shares our preliminary results derived from a first set of interviews with our students.
- ItemImproving Healthcare Team Collaboration in Hospital Transfers through Cloud-Based Mobile Systems(2016) Neyem, Andrés; Carrillo, M.; Jerez, C.; Valenzuela, G.; Risso, N.; Benedetto Causa, José Ignacio; Rojas Riethmuller, J.
- ItemMobiCOP : A Scalable and Reliable Mobile Code Offloading Solution(2018) Benedetto Causa, José Ignacio; Valenzuela, Guillermo; Sanabria Quispe, Pablo; Neyem, Andrés; Navón Cohen, Jaime; Poellabauer, Christian
- ItemRethinking the Mobile Code Offloading Paradigm: From Concept to Practice(IEEE, 2017) Benedetto Causa, José Ignacio; Neyem, Andrés; Navón Cohen, Jaime; Valenzuela, GuillermoMobile code offloading is a relatively well known proposal for enhancing the capabilities of mobile platforms by migrating resource intensive tasks to resource rich surrogates hosted in the cloud. Yet, most of the research in the area has been focused on theoretical gains achieved through custom OS versions in ideal scenarios. This paper presents MobiCOP, a new code offloading platform that seeks to address the reproducibility issues of other offloading solutions by encapsulating all offloading logic in a library and offering compatibility with major IaaS providers. MobiCOP achieves comparable performance and battery improvements with gains of up to a factor of 11 in both areas. Moreover, MobiCOP has also been tested in scenarios with unreliable connectivity, as is usually the case in actual mobile networks, where it has shown that it still manages to outperform local task executions by a fair margin.
- ItemTowards a practical framework for code offloading in the Internet of Things(2019) Benedetto Causa, José Ignacio; González Cos, Luis Armando; Sanabria Quispe, Pablo; Neyem, Andrés; Navón Cohen, Jaime
- ItemTowards Native Code Offloading Platforms for Image Processing in Mobile Applications: A Case Study(IEEE, 2017) Valenzuela Gallegos, Guillermo Esteban; Neyem, Hugo Andres; Benedetto Causa, José Ignacio; Navon Cohen, Jaime; Sanabria Quispe, Pablo; Karmy, Juan A.; Balbontin, FelipeIn this paper, we present a real-life case study to show the advantages of a new code offloading solution focused on improving both performance and energy consumption for image processing mobile applications. From our experiments, we found that offloading an image processing task would allow up to 5.7x speedup and 85% of reduction in energy consumption for low-end devices, and 1.7x speedup and 64.3% of reduction in energy consumption for high-end devices.