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17th International Conference on Web Information Systems and Technologies, WEBIST 2021

作者： da Rosa Righi, Rodrigo Borges, Gabriel da Costa, Cristiano André Rodrigues, Vinicius Facco Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos São Leopoldo Brazil

ISBN: (纸本)9789897585364

Serverless computing, also known as Function as a Service, is a new paradigm that aims to separate the user of the platform from details about any infrastructure deployment. The problem lies in the fact that all the current Serverless platforms require the user to specify at least the needed memory usage for their Serverless offerings. Here we have a paradox since the users must be involved in technical issues to run their applications efficiently, both in terms of execution time and financial costs. To the best of our knowledge, the state-of-the-art lacks on providing studies regarding the best memory size for a particular application setting. In this context, this work presents Memoryless, a computational methodology that is in charge of removing the completion of memory limits by the user when launching Serverless demands. To accomplish this, we introduce in the literature a twopass algorithm composed of a microbenchmark where users inform simple application parameters (first pass) and receive from the hypervisor the memory required to run their demands. In addition to user abstraction, financial cost also drives our research, since commonly this metric is directly proportional to the selected memory size. We implemented Memoryless using NodeJS, Kubeless, and Kubernetes. The result confirms that the proposed methodology is capable of lowering the memory needs to run an application while maintaining expected execution times. This benefits both cloud administrators (who can run more Serverless demands for different users in parallel) and cloud users, who will pay less on using the cloud, so exploring better the pay-as-you-go policy. © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Abstracting

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ProFog: A Proactive Elasticity Model for Fog computing-based IoT Applications 17

ProFog: A Proactive Elasticity Model for Fog Computing-based...

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17th International Conference on Web Information Systems and Technologies, WEBIST 2021

作者： Barth, Guilherme Gabriel da Rosa Righi, Rodrigo da Costa, Cristiano André Rodrigues, Vinicius Facco Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos São Leopoldo Brazil

ISBN: (纸本)9789897585364

Today, streaming, Artificial Intelligence, and the Internet of Things (IoT) are being some of the main drivers to accelerate process automation in various companies. These technologies are often connected to critical tasks, requiring reliable and scalable environments. Although Fog computing has been on the rise as an alternative to address those challenges, we perceive a gap in the literature related to adaptability on the number of resources on both cloud and fog layers. Multiple studies suggest different Cloud-Fog architectures for IoT implementations, but not thoroughly addressing elasticity control mechanisms. In this context, this article presents ProFog as a proactive elasticity model for IoT-based Cloud-Fog architectures. ProFog uses the ARIMA prediction model to anticipate load behaviors, so triggering scaling actions as close to when they are required as possible. This strategy allows the delivery of new resources before reaching an overloaded or underloaded state, benefiting performance, and energy saving. We developed a ProFog prototype that showed an improvement of 11.21% in energy consumption in favor of ProFog. © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Internet of things

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A proposal for postpartum support based on natural language generation model

A proposal for postpartum support based on natural language ...

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2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018

作者： Zeni Montenegro, Joao Luis Andre Da Costa, Cristiano Da Rosa Righi, Rodrigo Roehrs, Alex Farias, Elson Romeu SOFTWARELAB Applied Computing Graduate Program Universidade Do Vale Do Rio Dos Sinos Sao Leopoldo Brazil

ISBN: (纸本)9781728113609

This article presents a Multifaceted Natural Language Generation Model to help women in a postpartum. This proposal supports speech and text interactions, developing responses through an ontology model and retrieval based-method techniques oriented to the welfare of women after the birth of their baby. We show a case study, introducing an architecture model of conversational agents, a scenario and a simulation of this proposal. Our results presented a better performance in response time generated from a retrieval based-method(two seconds), and similar response accuracy, slightly better for semantic queries (20% better). © 2018 IEEE.

关键词： Ontology

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Code Autocomplete Using Transformers 10th

Code Autocomplete Using Transformers

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10th Brazilian Conference on Intelligent Systems, BRACIS 2021

作者： Meyrer, Gabriel T. Araújo, Denis A. Rigo, Sandro J. CWI Software São Leopoldo Brazil Applied Computing Graduate Program UNISINOS São Leopoldo Brazil

ISBN: (纸本)9783030916985

In software development, code autocomplete can be an essential tool in order to accelerate coding. However, many of these tools built into the IDEs are limited to suggesting only methods or arguments, often presenting to the user long lists of irrelevant items. Since innovations introduced by transformer-based models that have reached the state of the art performance in tasks involving natural language processing (NLP), the application of these models also in tasks involving code intelligence, such as code completion, has become a frequent object of study in recent years. In these paper, we present a transformer-based model trained on 1.2 million Java files gathered from top-starred Github repositories. Our evaluation approach was based on measuring the model’s ability to predict the completion of a line, proposing a new metric to measure the applicability of the suggestions that we consider better adapted to the practical reality of the code completion task. With a recently developed Java web project as test set, our experiments showed that in 55.9% of the test cases the model brought at least one suggestion applicable, while the best baseline model presented this in 26.5%. © 2021, Springer Nature Switzerland AG.

关键词： Software design

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Ubiquitous computing in light of human phenotypes: foundations, challenges, and opportunities

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Journal of Ambient Intelligence and Humanized computing 2023年第3期14卷 2341-2349页

作者： Bavaresco, Rodrigo Simon Barbosa, Jorge Luis Victória Applied Computing Graduate Program - PPGCA University of Vale do Rio dos Sinos - UNISINOS Av. Unisinos São Leopoldo Rio Grande do Sul93.022-000 Brazil

The interest in human phenotypes has leveraged interdisciplinary efforts encouraging a better understanding of the broad spectrum of psychological and behavioral disorders. Moreover, the usage of mobile and wearable devices along with unobtrusive computational capabilities provides an extensive amount of information that allows the characterization of phenotypes. This article describes the human phenotype through the lens of computational range and reviews state-of-the-art computational phenotyping. Furthermore, the article discusses computational phenotyping’s extension concerning the combination of intelligent environments and personal mobile devices, addressing technical, managerial, and ethical challenges. This combination reinforces ubiquitous computational capabilities for phenotyping as a facilitator of interdisciplinary information convergence in favor of clinical and biomedical research. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Wearable technology

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GUGA: A tool for participatory cities

GUGA: A tool for participatory cities

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18th IEEE Symposium on Computers and Communications, ISCC 2013

作者： Schunke, Luana Carine De Oliveira, Luiz Paulo Luna Villamil, Marta Becker Applied Computing Graduate Program University of Vale Do Rio Dos Sinos-Unisinos S˜ao Leopoldo-RS Brazil

ISBN: (纸本)9781479937554

Participatory cities are those that allow the participation of citizens in the construction and improvement of their common daily life. In this work we present a tool for that participation, allowing the citizens to register the occurrences as well as take knowledge about the global geographic status of their city in on a variety of contexts (security, transit, etc.). However, a tool like that, fed by the people, certainly will deal with a large amount of information, distributed geographically. To accomplish that, a precise criterion for visualizing the resultant density distribution of occurrences must be used. In this paper, we also propose an automatic method for that visualization based on Voronoi Diagrams. The Voronoi polygons divide the region according to the concentration of occurrences. In this scheme, the area of each Voronoi polygon defines the density of the occurrences of the specific categories which are shown in the city map in color and transparency intensities for visualization. This can easily reveal the space distribution of important issues, in a variety of contexts such as criminality, commercial and industrial activities, drugs traffic, illumination concerns, and others. © 2013 IEEE.

关键词： Visualization

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An Enhanced TSP-Based Approach for Active Debris Removal Mission Planning 10th

An Enhanced TSP-Based Approach for Active Debris Removal Mis...

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10th Brazilian Conference on Intelligent Systems, BRACIS 2021

作者： Rodrigues Neto, João Batista de Oliveira Ramos, Gabriel Graduate Program in Applied Computing Universidade do Vale do Rio dos Sinos RS São Leopoldo Brazil

ISBN: (纸本)9783030917012

The extensive exploration of the Low Earth Orbit (LEO) has created a dangerous spacial environment, where space debris has threatened the feasibility of future operations. In this sense, Active Debris Removal (ADR) missions are required to clean up the space, deorbiting the debris with a spacecraft. ADR mission planning has been investigated in the literature by means of metaheuristic approaches, focused on maximizing the amount of removed debris given the constraints of the spacecraft. The state-of-the-art approach uses an inver-over and maximal open walk algorithms to solve this problem. However, that approach fails to deal with large instances and duration constraints. This work extends the state of the art, increasing its performance and modeling all the constraints. Experimental results evidence the improvements over the original approach, including the ability to run for scenarios with thousands of debris. © 2021, Springer Nature Switzerland AG.

关键词： Space debris

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A Hybrid metaheuristic approach to solve the vehicle routing problem with time windows

A Hybrid metaheuristic approach to solve the vehicle routing...

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9th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2012

作者： Gómez, Arthur T. Galafassi, Cristiano Chiwiacowsky, Leonardo D. Master Program on Applied Computing University of Sinos Valley Av. Unisinos 950 São Leopoldo RS Brazil

ISBN: (纸本)9789898565211

This paper addresses the Capacitated Vehicle Routing Problem with Time Windows, with constraints related to the vehicle capacity and time windows for customer service. To solve this problem two different metaheuristics are used: Tabu Search and Genetic Algorithms. Based on these techniques a hybrid algorithm is developed. The main goal is the development of a Hybrid Algorithm focused on the Vehicle Routing Problem which uses the intensification power of the Tabu Search and the diversification power of the Genetic Algorithms, in order to obtain good quality solutions without compromising the computational time. In the experiments are combined policies of diversification and intensification in Tabu Search and Genetic Algorithm to verify the efficiency and robustness of the proposed hybrid algorithm. Finally, the results are compared with the best heuristic and exact methods results found in the literature. The Hybrid Algorithm here proposed shows efficiency and robustness, with several optimal solutions achieved. Copyright © 2012 SciTePress.

关键词： Genetic algorithms

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High performance simulations of the cellular Potts model

High performance simulations of the cellular Potts model

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20th International Symposium on High-Performance computing in an Advanced Collaborative Environment, 2006. HPCS 2006

作者： Cercato, Fernando Piccini Mombach, José Carlos M. Cavalheiro, Gerson Geraldo H. Post-Graduate Program on Applied Computing Vale do Rio Dos Sinos University São Leopolde RS Brazil

ISBN: (纸本)0769525822

The lattice cellular Potts model is widely used to represent physical and biological cellular systems. Standard implementations of this model in the literature employ inefficient Monte Carlo protocols to select elements (labels) of the lattice storing the investigated system. Recently, we proposed a new parallel algorithm, the Random Walker algorithm (RW), that can generate speedups from 3 to 10 times in simulations of this model. In this paper we present a distributed implementation of the RW algorithm exploiting parallel architectures. Our tests in a computer cluster show speedups between 5.7 and 15.6 in relation to the distributed standard algorithm. © 2006 IEEE.

关键词： Crystal lattices

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A hybrid metaheuristic approach to optimize the content transmission in multimedia systems 11

A hybrid metaheuristic approach to optimize the content tran...

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11th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2014

作者： Gómez, Arthur T. Nesi, Luan C. Martins, Marcio G. Chiwiacowsky, Leonardo D. Master Program on Applied Computing University of the Sinos Valley Av. Unisinos 950 São Leopoldo/RS Brazil

ISBN: (纸本)9789897580390

The advent of the digital television in Brazil has allowed users to access interactive channels. Once interactive channels are available, the users are able to find multimedia content such as movies and breaking news programs, to send and/or receive emails, to access interactive applications and also other contents. In this context, a high demand of requests from users is expected. Therefore, from the content provider's point of view, the determination of transmission parameters is needed in order to ensure the best quality of transmission to every user. The aforementioned identification problem is modelled as an optimization problem and a solution procedure based on metaheuristic techniques is proposed. Genetic Algorithm and Tabu Search metaheuristics are employed separately and coupled in a hybrid scheme to define the best transmission policy, optimizing the transmission parameters, such as audio and video transmission rates. Based on the experimental results, the hybrid algorithm has produced better solutions which meet the quality requirements.

关键词： Genetic algorithms

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