One of the essential aspects of distributed simulations is to order events according to a causal consistency model. Traditionally, implementing causal consistency can be made using a conservative or optimistic approach. However, traditional techniques are costly in processing time to ensure causality. A promising approach to order events is a hybrid synchronization approach, where processes can change dynamically between optimistic and conservative approaches. Unfortunately, synchronizing processes running a hybrid synchronization is a complex problem. In this work, we discuss a multi-objective scheduling of hybrid synchronization messages problem. Beyond that, we propose using a scheduling algorithm to reach an equilibrium between processing and causality violations and describe how to integrate the algorithm in an existing distributed simulator. The algorithm uses two memoization phases, making the scheduling suitable for a dynamic environment. Finally, to demonstrate the feasibility of our scheduling approach, we implemented it in an existing distributed simulation architecture. Analysis based on the experiments demonstrates the behavior of the simulation regarding the number of discarding/processed messages and work performed.
{"title":"Multiobjective message scheduling for Hybrid Synchronization in Distributed Simulations","authors":"Paulo Comasetto, R. Parizotto, B. Mello","doi":"10.5753/jbcs.2024.3197","DOIUrl":"https://doi.org/10.5753/jbcs.2024.3197","url":null,"abstract":"One of the essential aspects of distributed simulations is to order events according to a causal consistency model. Traditionally, implementing causal consistency can be made using a conservative or optimistic approach. However, traditional techniques are costly in processing time to ensure causality. A promising approach to order events is a hybrid synchronization approach, where processes can change dynamically between optimistic and conservative approaches. Unfortunately, synchronizing processes running a hybrid synchronization is a complex problem. In this work, we discuss a multi-objective scheduling of hybrid synchronization messages problem. Beyond that, we propose using a scheduling algorithm to reach an equilibrium between processing and causality violations and describe how to integrate the algorithm in an existing distributed simulator. The algorithm uses two memoization phases, making the scheduling suitable for a dynamic environment. Finally, to demonstrate the feasibility of our scheduling approach, we implemented it in an existing distributed simulation architecture. Analysis based on the experiments demonstrates the behavior of the simulation regarding the number of discarding/processed messages and work performed.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":" 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flávio Oscar Hahn, Bruno Nogueira, Rian Gabriel S. Pinheiro
In recent years, companies have faced the challenge of adapting to new guidelines and strategies aimed at preventing and reducing the transmission of COVID-19 within the workplace. An essential aspect of this adaptation is effectively managing the workday schedule to minimize social contact.This paper introduces a comprehensive optimization framework designed to automate the planning of employee schedules during pandemic events. Our framework utilizes integer linear programming to establish a set of general constraints that can accommodate various types of distancing restrictions and cater to different objective functions.To employ the framework, a company simply needs to instantiate a subset of these constraints along with an objective function based on its specific priorities. We conducted tests on our scheduling framework within three distinct real-life companies, yielding promising results. Our approach successfully increased the number of in-person workers by 15%, all while adhering to the social distancing restrictions mandated by these companies. Furthermore, the solutions generated by our method were implemented and validated within these organizations.
{"title":"An optimization-based framework for personal scheduling during pandemic events","authors":"Flávio Oscar Hahn, Bruno Nogueira, Rian Gabriel S. Pinheiro","doi":"10.5753/jbcs.2024.3589","DOIUrl":"https://doi.org/10.5753/jbcs.2024.3589","url":null,"abstract":"In recent years, companies have faced the challenge of adapting to new guidelines and strategies aimed at preventing and reducing the transmission of COVID-19 within the workplace. An essential aspect of this adaptation is effectively managing the workday schedule to minimize social contact.This paper introduces a comprehensive optimization framework designed to automate the planning of employee schedules during pandemic events. Our framework utilizes integer linear programming to establish a set of general constraints that can accommodate various types of distancing restrictions and cater to different objective functions.To employ the framework, a company simply needs to instantiate a subset of these constraints along with an objective function based on its specific priorities. We conducted tests on our scheduling framework within three distinct real-life companies, yielding promising results. Our approach successfully increased the number of in-person workers by 15%, all while adhering to the social distancing restrictions mandated by these companies. Furthermore, the solutions generated by our method were implemented and validated within these organizations.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dyego C. S. Morais, Taciana Pontual Falcão, Patrícia Tedesco
In Brazil, Education of Rural Areas is a model which started with social movements and became a public policy with the aim of improving participation of people of rural areas in making decisions about the model of their education. Schools in that context need to improve access to scientific and technological knowledge, but ensuring that previous values and knowledge of the students about agroecology and sustainability are considered. Even though some studies focus on digital inclusion and teacher training to use technologies in rural schools, very few address the development of digital technologies by students themselves, in this context. Participatory Design (PD) is a method often used to develop technological artifacts that could help address this gap. Of particular interest in the context of Education of Rural Areas, PD includes a valid preoccupation with power balance between designers and target users in decision-making. However, this power balance is still hard to attain, even more when design involves vulnerable groups, like children. In this sense, models and frameworks of children's participation can give a more solid theoretical framing for PD with children. In this paper, we present a theoretical model for supporting PD with children which was drawn from theories of children's participation, and refined through its application for qualitatively analysing a design process of digital educational artifacts with children from rural schools in Brazil. We highlight children’s autonomy in the creation of artifacts within a process managed by adults, which we interpret as a new role of children in PD which emerged from the educational context, that is children as artifact designers. The model proposed can be used for researchers and designers to plan or to analyse children's participation in PD interventions, helping them to employ methods that promote their autonomy and participation.
{"title":"Promoting Children's Participation in a Participatory Design Process in a Rural School: A new role needed?","authors":"Dyego C. S. Morais, Taciana Pontual Falcão, Patrícia Tedesco","doi":"10.5753/jbcs.2024.3114","DOIUrl":"https://doi.org/10.5753/jbcs.2024.3114","url":null,"abstract":"In Brazil, Education of Rural Areas is a model which started with social movements and became a public policy with the aim of improving participation of people of rural areas in making decisions about the model of their education. Schools in that context need to improve access to scientific and technological knowledge, but ensuring that previous values and knowledge of the students about agroecology and sustainability are considered. Even though some studies focus on digital inclusion and teacher training to use technologies in rural schools, very few address the development of digital technologies by students themselves, in this context. Participatory Design (PD) is a method often used to develop technological artifacts that could help address this gap. Of particular interest in the context of Education of Rural Areas, PD includes a valid preoccupation with power balance between designers and target users in decision-making. However, this power balance is still hard to attain, even more when design involves vulnerable groups, like children. In this sense, models and frameworks of children's participation can give a more solid theoretical framing for PD with children. In this paper, we present a theoretical model for supporting PD with children which was drawn from theories of children's participation, and refined through its application for qualitatively analysing a design process of digital educational artifacts with children from rural schools in Brazil. We highlight children’s autonomy in the creation of artifacts within a process managed by adults, which we interpret as a new role of children in PD which emerged from the educational context, that is children as artifact designers. The model proposed can be used for researchers and designers to plan or to analyse children's participation in PD interventions, helping them to employ methods that promote their autonomy and participation.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"59 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adriano Luiz de Souza Lima, Christiane Gresse von Wangenheim, O. P. H. R. Martins, A. von Wangenheim, J. Hauck, A. Borgatto
Visual aesthetics is one of the first aspects that users experience when looking at graphical user interfaces (GUIs), contributing to the perceived usability and credibility of a software system. It can also be an essential success factor in contexts where graphical elements play an important role in attracting users, such as choosing a mobile app from an app store. Therefore, visual aesthetics assessments are crucial in interface design, but traditional methods, involving target user representatives assessing each GUI individually, are costly and time-consuming. In this context, machine learning models have been demonstrated to be promising in automating the assessment of GUIs of web-based software systems. Yet, solutions for the assessment of mobile GUIs using machine learning are still unknown. Here we introduce a deep learning model to assess the visual aesthetics of mobile Android applications designed with App Inventor. We used a supervised learning approach to train and compare models using three different architectures. The highest performing model, a Resnet50, achieved a mean squared error of .022. The assessments of new GUIs showed an excellent correlation with human ratings (ρ = .9), and the Bland Altman plot analysis revealed 95% agreement with their labels. These results indicate the model’s effectiveness in automating the visual aesthetics assessment of GUIs of mobile apps.
{"title":"A Deep Learning Model for the Assessment of the Visual Aesthetics of Mobile User Interfaces","authors":"Adriano Luiz de Souza Lima, Christiane Gresse von Wangenheim, O. P. H. R. Martins, A. von Wangenheim, J. Hauck, A. Borgatto","doi":"10.5753/jbcs.2024.3255","DOIUrl":"https://doi.org/10.5753/jbcs.2024.3255","url":null,"abstract":"Visual aesthetics is one of the first aspects that users experience when looking at graphical user interfaces (GUIs), contributing to the perceived usability and credibility of a software system. It can also be an essential success factor in contexts where graphical elements play an important role in attracting users, such as choosing a mobile app from an app store. Therefore, visual aesthetics assessments are crucial in interface design, but traditional methods, involving target user representatives assessing each GUI individually, are costly and time-consuming. In this context, machine learning models have been demonstrated to be promising in automating the assessment of GUIs of web-based software systems. Yet, solutions for the assessment of mobile GUIs using machine learning are still unknown. Here we introduce a deep learning model to assess the visual aesthetics of mobile Android applications designed with App Inventor. We used a supervised learning approach to train and compare models using three different architectures. The highest performing model, a Resnet50, achieved a mean squared error of .022. The assessments of new GUIs showed an excellent correlation with human ratings (ρ = .9), and the Bland Altman plot analysis revealed 95% agreement with their labels. These results indicate the model’s effectiveness in automating the visual aesthetics assessment of GUIs of mobile apps.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"265 43‐47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nowadays, voluminous data support may influence decision-making. People with varied profiles need to interact with data to gain valuable insights. There is a need for software tools to support the understanding and management of information to favor Human-Data Interaction (HDI) with a richer user experience. This study explores the combination of HDI design guidelines and participatory approaches to improve user experience in data interaction. We defined a design process to support the activities and adapted participatory practices to facilitate HDI design. We conducted workshops with inexperienced designers developing information visualization applications for common-sense domains. They generated and analyzed several application prototypes. Results suggest that design guidelines help generate HDI-based prototypes with a good user experience.
{"title":"Adopting Human-data Interaction Guidelines and Participatory Practices for Supporting Inexperienced Designers in Information Visualization Applications","authors":"Eliane Zambon Victorelli, J. C. dos Reis","doi":"10.5753/jbcs.2024.2592","DOIUrl":"https://doi.org/10.5753/jbcs.2024.2592","url":null,"abstract":"Nowadays, voluminous data support may influence decision-making. People with varied profiles need to interact with data to gain valuable insights. There is a need for software tools to support the understanding and management of information to favor Human-Data Interaction (HDI) with a richer user experience. This study explores the combination of HDI design guidelines and participatory approaches to improve user experience in data interaction. We defined a design process to support the activities and adapted participatory practices to facilitate HDI design. We conducted workshops with inexperienced designers developing information visualization applications for common-sense domains. They generated and analyzed several application prototypes. Results suggest that design guidelines help generate HDI-based prototypes with a good user experience.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"6 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140738085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Teaching Requirements Engineering requires adopting pedagogical techniques to develop students' technical skills for identifying users' needs and designing software solutions. Additionally, since requirements engineering involves group work, students must cultivate social skills such as communication, empathy, and conflict resolution. In remote learning scenarios, developing these skills becomes more challenging due to limited interaction. To address these needs, this paper proposes adapting a project-based collaborative learning approach for remote education that combines Role-Play and Send-a-Problem learning techniques. In this approach, students collaborate on software projects in teams, assuming two roles: customers and software developers. We evaluated this approach during two cycles of Action Research, conducted remotely in two disciplines of a Software Engineering undergraduate course involving advanced and beginner students, respectively. In the advanced students' class, we observed that the methodology enhanced communication skills, analytical reasoning, conflict resolution, and empathy. To validate these results, we conducted a new study with beginning students, achieving positive outcomes despite the need for more support in team communication. As our primary contribution, we provide guidelines for implementing this collaborative learning approach online.
{"title":"Building soft skills through a role-play based approach for Requirements Engineering remote education","authors":"G. T. Macedo, A. Fontão, B. Gadelha","doi":"10.5753/jbcs.2024.3071","DOIUrl":"https://doi.org/10.5753/jbcs.2024.3071","url":null,"abstract":"Teaching Requirements Engineering requires adopting pedagogical techniques to develop students' technical skills for identifying users' needs and designing software solutions. Additionally, since requirements engineering involves group work, students must cultivate social skills such as communication, empathy, and conflict resolution. In remote learning scenarios, developing these skills becomes more challenging due to limited interaction. To address these needs, this paper proposes adapting a project-based collaborative learning approach for remote education that combines Role-Play and Send-a-Problem learning techniques. In this approach, students collaborate on software projects in teams, assuming two roles: customers and software developers. We evaluated this approach during two cycles of Action Research, conducted remotely in two disciplines of a Software Engineering undergraduate course involving advanced and beginner students, respectively. In the advanced students' class, we observed that the methodology enhanced communication skills, analytical reasoning, conflict resolution, and empathy. To validate these results, we conducted a new study with beginning students, achieving positive outcomes despite the need for more support in team communication. As our primary contribution, we provide guidelines for implementing this collaborative learning approach online.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"13 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140397153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
João Victor Lopes, Everton Cavalcante, T. Batista, André Solino, Jorge Pereira, Aluizio Rocha Neto
Smart city platforms provide several services to facilitate the development of applications. Such platforms typically manage several applications, deal with a large volume of data, and serve many devices and users that generate a high volume of requests. The large number of requests to handle and the complex operations to perform often cause overloads on the platform, degrading the quality of service provided to users and applications. In this context, monitoring the underlying computational infrastructure in which smart city platforms and applications are deployed and the platform operations is essential. The monitoring process can allow for examining fluctuations in the behavior of the platform's components to detect performance degradation and overloads (including unforeseen ones), contribute to avoiding interruptions in the platform's services, and increase its scalability to assimilate significant amounts of requests, devices, and users. This paper presents a strategy and architecture to enable the non-intrusive monitoring of operations on smart city platforms and their underlying infrastructure. The proposal covers monitoring at multiple levels and is based on the aspect-oriented programming (AOP) paradigm so that it is possible to monitor the platform's operations without intervening in the platform's implementation or generating coupling regarding monitoring. This paper presents the implementation of the monitoring architecture and its instantiation in the context of Smart Geo Layers (SGeoL), a platform that has been used in several real-world smart city applications. This paper also reports the results of computational experiments to evaluate the performance of the proposed monitoring architecture for response time to requests, CPU usage, and RAM utilization. The obtained results show an evident increase in response time with the number of simultaneous requests and a significant correlation between the response time and the CPU utilization in the deployment of the monitoring architecture.
{"title":"Non-Intrusive Continuous Monitoring of Smart City Platforms","authors":"João Victor Lopes, Everton Cavalcante, T. Batista, André Solino, Jorge Pereira, Aluizio Rocha Neto","doi":"10.5753/jbcs.2023.3271","DOIUrl":"https://doi.org/10.5753/jbcs.2023.3271","url":null,"abstract":"Smart city platforms provide several services to facilitate the development of applications. Such platforms typically manage several applications, deal with a large volume of data, and serve many devices and users that generate a high volume of requests. The large number of requests to handle and the complex operations to perform often cause overloads on the platform, degrading the quality of service provided to users and applications. In this context, monitoring the underlying computational infrastructure in which smart city platforms and applications are deployed and the platform operations is essential. The monitoring process can allow for examining fluctuations in the behavior of the platform's components to detect performance degradation and overloads (including unforeseen ones), contribute to avoiding interruptions in the platform's services, and increase its scalability to assimilate significant amounts of requests, devices, and users. This paper presents a strategy and architecture to enable the non-intrusive monitoring of operations on smart city platforms and their underlying infrastructure. The proposal covers monitoring at multiple levels and is based on the aspect-oriented programming (AOP) paradigm so that it is possible to monitor the platform's operations without intervening in the platform's implementation or generating coupling regarding monitoring. This paper presents the implementation of the monitoring architecture and its instantiation in the context of Smart Geo Layers (SGeoL), a platform that has been used in several real-world smart city applications. This paper also reports the results of computational experiments to evaluate the performance of the proposed monitoring architecture for response time to requests, CPU usage, and RAM utilization. The obtained results show an evident increase in response time with the number of simultaneous requests and a significant correlation between the response time and the CPU utilization in the deployment of the monitoring architecture.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"12 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138589566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manar Joundy Hazar, Salah Zrigui, Mohsen Maraoui, Mounir Zrigui, Henri Nicolas
Video recommendation systems in e-learning platforms are a specific type of recommendation system that uses algorithms to suggest educational videos to students based on their interests and preferences. Student’s written feedback or reviews can provide more details about the educational video, including its strengths and weaknesses. In this paper, we build an education video recommender system based on learners’ reviews. we use LDA topic model on textual data extracted from educational videos to train language models as an input to supervised CNN model. Additionally, we used latent factor model to extract the educational videos' features and learner preferences from learners’ historical data (ratings and reviews) as an output CNN model. In our proposed technique, we use hybrid user ratings and reviews to tackle sparsity and cold start problem in the recommender system. Our recommender uses user review to suggest new recommended videos, but in case there is no review (empty cell in matrix factorization) or unclear comment then we will take user rating on that educational video. We worked on real-world big and diverse learning courses and video content datasets from Coursera. Results show that new prediction ratings from learners' reviews can be used to make good new recommendations about videos that have not been previously seen and reduce cold start and sparsity problem effects.
{"title":"A Recommendation System Involving a Hybrid Approach of Student Review and Rating for an Educational Video","authors":"Manar Joundy Hazar, Salah Zrigui, Mohsen Maraoui, Mounir Zrigui, Henri Nicolas","doi":"10.5753/jbcs.2023.3063","DOIUrl":"https://doi.org/10.5753/jbcs.2023.3063","url":null,"abstract":"Video recommendation systems in e-learning platforms are a specific type of recommendation system that uses algorithms to suggest educational videos to students based on their interests and preferences. Student’s written feedback or reviews can provide more details about the educational video, including its strengths and weaknesses. In this paper, we build an education video recommender system based on learners’ reviews. we use LDA topic model on textual data extracted from educational videos to train language models as an input to supervised CNN model. Additionally, we used latent factor model to extract the educational videos' features and learner preferences from learners’ historical data (ratings and reviews) as an output CNN model. In our proposed technique, we use hybrid user ratings and reviews to tackle sparsity and cold start problem in the recommender system. Our recommender uses user review to suggest new recommended videos, but in case there is no review (empty cell in matrix factorization) or unclear comment then we will take user rating on that educational video. We worked on real-world big and diverse learning courses and video content datasets from Coursera. Results show that new prediction ratings from learners' reviews can be used to make good new recommendations about videos that have not been previously seen and reduce cold start and sparsity problem effects.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fábio Araújo, Felipe Araújo, Derian Alencar, Stefany Pinheiro, Helder Oliveira, D. Rosário
Recently, Mobile Edge Computing (MEC) and service migration policies have shown promising results to improve the user experience and optimize infrastructure resources. In addition, Unmanned Aerial Vehicles (UAVs) appear as a promising solution to provide cloud service in collaboration with traditional MEC scenarios. However, in conjunction with the resources available on users' devices, contextual information has been ignored by most policies. In this article, we propose a service migration strategy based on contextual information and evaluate the influence of user mobility on migration strategies, called DVSM. Simulation results highlight the superior performance of the DVSM compared to state-of-the-art algorithms and a performance equivalent to the optimal solution when the collection and analysis of context information are carried out correctly.
{"title":"Dynamic video service migration in flying edge computing networks","authors":"Fábio Araújo, Felipe Araújo, Derian Alencar, Stefany Pinheiro, Helder Oliveira, D. Rosário","doi":"10.5753/jbcs.2023.2228","DOIUrl":"https://doi.org/10.5753/jbcs.2023.2228","url":null,"abstract":"Recently, Mobile Edge Computing (MEC) and service migration policies have shown promising results to improve the user experience and optimize infrastructure resources. In addition, Unmanned Aerial Vehicles (UAVs) appear as a promising solution to provide cloud service in collaboration with traditional MEC scenarios. However, in conjunction with the resources available on users' devices, contextual information has been ignored by most policies. In this article, we propose a service migration strategy based on contextual information and evaluate the influence of user mobility on migration strategies, called DVSM. Simulation results highlight the superior performance of the DVSM compared to state-of-the-art algorithms and a performance equivalent to the optimal solution when the collection and analysis of context information are carried out correctly.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"29 1","pages":"63-72"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71078860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Philippe Olivier Alexandre Navaux, Arthur Francisco Lorenzon, Matheus da Silva Serpa
High-Performance Computing, HPC, has become one of the most active computer science fields. Driven mainly by the need for high processing capabilities required by algorithms from many areas, such as Big Data, Artificial Intelligence, Data Science, and subjects related to chemistry, physics, and biology, the state-of-art algorithms from these fields are notoriously demanding computer resources. Therefore, choosing the right computer system to optimize their performance is paramount. This article presents the main challenges of future supercomputer systems, highlighting the areas that demand the most of HPC servers; the new architectures, including heterogeneous processors composed of artificial intelligence chips, quantum processors, the adoption of HPC on cloud servers; and the challenges of software developers when facing parallelizing applications. We also discuss challenges regarding non-functional requirements, such as energy consumption and resilience.
{"title":"Challenges in High-Performance Computing","authors":"Philippe Olivier Alexandre Navaux, Arthur Francisco Lorenzon, Matheus da Silva Serpa","doi":"10.5753/jbcs.2023.2219","DOIUrl":"https://doi.org/10.5753/jbcs.2023.2219","url":null,"abstract":"High-Performance Computing, HPC, has become one of the most active computer science fields. Driven mainly by the need for high processing capabilities required by algorithms from many areas, such as Big Data, Artificial Intelligence, Data Science, and subjects related to chemistry, physics, and biology, the state-of-art algorithms from these fields are notoriously demanding computer resources. Therefore, choosing the right computer system to optimize their performance is paramount. This article presents the main challenges of future supercomputer systems, highlighting the areas that demand the most of HPC servers; the new architectures, including heterogeneous processors composed of artificial intelligence chips, quantum processors, the adoption of HPC on cloud servers; and the challenges of software developers when facing parallelizing applications. We also discuss challenges regarding non-functional requirements, such as energy consumption and resilience.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135052039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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