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25th International Conference on Enterprise Information Systems, ICEIS 2023

作者： Robaina, Gabriel Fiorese, Adriano Graduate Program in Applied Computing - PPGCAP Santa Catarina State University - UDESC Joinville Brazil

ISBN: (纸本)9789897586484

The mobile games market has grown in relevancy compared to traditional gaming platforms. The standard architecture for these games requires the processing of game logic and graphics using the device's own hardware. Alternatively, cloud based architectures for remote gaming on smartphones present high game input delay at a high cost for the service provider. This poses a limitation to the variety and complexity of games that target these platforms as well as constraining user QoE. To address that limitation, this work proposes the Gaming On The Edge (GOTE) architecture, that aims to enable complex games to be played on smartphone devices while leveraging edge computing infrastructure into graphics processing and content distribution systems. A GOTE architecture's proof of concept is developed and tested using WebRTC with an RTP streaming pipeline that exploits NVENC for achieving low latency video encoding. Experimental results show that GOTE architecture is a viable alternative to cloud based remote gaming on smartphones at the advantage of lowering latency of video and game input. An open source implementation of the architecture is provided in order to assist further research in this area. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Edge computing

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Identifying Network Congestion on SDN-Based Data Centers with Supervised Classification 37th

Identifying Network Congestion on SDN-Based Data Centers wi...

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37th International Conference on Advanced Information Networking and Applications, AINA 2023

作者： da Silva de Oliveira, Filipe Pillon, Maurício Aronne Miers, Charles Christian Koslovski, Guilherme Piêgas Graduate Program in Applied Computing Santa Catarina State University Santa Catarina Joinville Brazil

ISBN: (纸本)9783031284502

Data centers have networks that provide, for a large number of users, various services such as video streaming, financial services, file storage, among others. Like any network-based system, a Data Center (DC) is subject to congestion, a fact that can cause slowness and instability, affecting the performance of applications for end users. Among the technologies for data center management, Software Defined Networking (SDN) separate the control from the data plane, allowing applications to access statistical information and other details about current state of the network through a controller. In this sense, SDN brings a new opportunity to detect congestion on DC networks in a centralized manner. However, identifying the occurrence of congestion in networks is an arduous task due to the high number of related data. With these data, this work seeks to apply supervised classification to identify congestion events. The experimental campaign demonstrated that the SDN-based supervised classification mechanisms find more congestion events then the native congestion control algorithms from Transmission Control Protocol (TCP). Moreover, among diverse supervised algorithms, we demonstrate which one has better accuracy and efficient performance when analyzing Cubic and DCTCP variants. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Transmission control protocol

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Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information 21

Protein Structure Prediction Using Dynamic Speciation Evolut...

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21st IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2024

作者： Parpinelli, Rafael Stubs Wojeicchowski, Nicholas Will, Nilcimar Neitzel State University of Santa Catarina Graduate Program in Applied Computing Joinville Brazil State University of Santa Catarina Computer Science Department Joinville Brazil

ISBN: (纸本)9798350356632

Protein structure prediction in three dimensions represents a fundamental challenge in Structural Bioinformatics. Leveraging problem-specific information such as fragment insertion, secondary structure, and contact maps can significantly enhance the exploration of the search space. In this study, an evolutionary algorithm is introduced, which incorporates such problem information for protein structure prediction. The proposed method employs a dynamic speciation technique alongside fragment insertion to foster population diversity. To ensure a rich variety of fragments, a fragment library is constructed using the Rosetta Quota protocol. Additionally, information from contact maps and secondary structure is integrated into two selection strategies to facilitate a more thorough exploration of the conformational search space. The results of an experimental evaluation involving 9 proteins are presented, demonstrating competitive performance compared to existing literature. Evaluation metrics include RMSD, GDT, and processing time. © 2024 IEEE.

关键词： Prediction models

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DCANon: Towards Distributed Certification Authority (CA) with Non-fungible Token (NFT) 37th

DCANon: Towards Distributed Certification Authority (CA) wit...

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37th International Conference on Advanced Information Networking and Applications, AINA 2023

作者： Descio-Trineto, Rafael Pillon, Maurício Koslovski, Guilherme Miers, Charles Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

ISBN: (纸本)9783031290558

Distributed applications rely on Certification Authorities (CAs) entities associated with a few institutions around the world. There are countless trusted institutions on the networks, e.g., universities, governments, banks, making effective use of CAs. Although largely used, the decentralized management of CAs is an administrative challenge. In this context, the joint emergence of digital ledgers and Non-Fungible Tokens (NFTs) compose a new opportunity to effectively decentralize single assets safely. Towards Distributed Certification Authority with Non-Fungible Token (DCANon) is a distributed Certification Authority (CA) built to trusted institutions and supported by Non-Fungible Token (NFT) concepts. DCANon changes the way revocation may be find, permitting that all consortium member crawler the blockchain for revoked certificates, independently from which CA this revocation occurs. A proof-of-concept prototype was implemented with Hyperledger Fabric demonstrating the benefits of DCANon. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Distributed ledger

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A massively parallel speciation-based differential evolution algorithm applied to the 3D-AB protein structure prediction

A massively parallel speciation-based differential evolution...

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作者： Stubs Parpinelli, Rafael Boiani, Mateus Dias, André E. P. Graduate Program in Applied Computing State University of Santa Catarina Santa Catarina Joinville Brazil Rio Grande do Sul Porto Alegre Brazil Computer Science Department State University of Santa Catarina Santa Catarina Joinville Brazil

One of the most challenging problems in Bioinformatics is the finding of a protein conformation and it is known as the Protein Structure Prediction (PSP) problem. The main feature present in the AB off-lattice model is the use of polarity as the main driving force to guide the optimization process. The present work proposes an adaptive evolutionary algorithm based on GPU that is applied to the 3D-AB off-lattice PSP problem. The proposed approach is named cuDSMjDE, and is composed of a Dynamic Speciation-based Mutation Strategies Differential Evolution that employs the jDE mechanism to control F and CR parameters. A crowding strategy is also adopted, increasing competition between individuals and maintaining the diversity of solutions. All routines of the proposed algorithm are developed to run in GPU. During the experiments, eight Protein Data Bank sequences are employed. Results obtained concerning potential energy are competitive when compared with state-of-the-art algorithms. The use of a massively parallel architecture promoted the necessary scalability with speedups up to 708.78 (Figure presented.). © 2021 John Wiley & Sons, Ltd.

关键词： Evolutionary algorithms

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Dehydrated natural feed for dogs: influence on digestibility, immunity, and antioxidant response

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Comparative Clinical Pathology 2025年第2期34卷 269-280页

作者： Cecere, Bruno G. O. Zatti, Emerson Bissacotti, Bianca F. Copetti, Priscila M. da Silveira, Marcylene V. Schetinger, Maria Rosa C. Klein, Bruna Suarez, Walter H. C. da Silva, Aleksandro S. Graduate Multicenter Program in Biochemistry and Molecular Biology University of the State of Santa Catarina (UDESC) Lages Brazil Graduate Program in Animal Science Universidade Federal de Santa Maria Santa Maria Brazil Graduate Program in Toxicological Biochemistry Universidade Federal de Santa Maria Santa Maria Brazil Department of Animal Science UDESC Chapecó Brazil Department of Animal Nutrition Tectron Tecnologia e Inovação Toledo Brazil

With the intensification of domestication, companion animals have become precious members of family homes;therefore, there is a constant search for improving the quality of life and well-being of these animals, where nutrition is considered a factor of great relevance. Natural diets appear as an alternative to differentiated feeds for pets, and the dehydration of natural feeds favors their use, maintaining their quality and increasing their shelf life. The present study objective was to determine whether dehydrated natural feed can replace extruded dry feed while maintaining good digestibility without impairing its metabolism, inflammatory/immune responses, and antioxidant status. Ten male beagle dogs housed in an experimental kennel and fed individually were used. They were divided into two groups with five animals each, one group received natural dehydrated feed (DNF), and another consumed commercial dry feed (DCF), calculated from the determination of metabolizable energy (ME) requirements based on the animal’s metabolic weight (BW). The experiment lasted 45 days, with 40 days of adaptation and health assessment and days of feces collection from animals in metabolism cages. At the end of this first phase, after a 10-day interval, the experiment was repeated;however, in this phase, the animals from the DCF group were transferred to the DNF group so that all animals received both feeds. During the 40 days, the animals were weighed, and blood was collected. On the other 5 days, total feces were collected, and the feces score was calculated. The animals in the DNF group showed higher digestibility of digestible fiber and mineral matter and lower digestibility of ether extract and dry matter. The dogs from the DNF group had a higher volume of excreted feces, with higher humidity and a score of 3;for the DCF group, the score was 2. DNF dogs had lower blood leukocyte and granulocyte counts;however, there was a tendency toward increased lymphocytes on day 40. Dogs in the

关键词： Alternative feed Animal health Dry feed Immune response Inflammatory

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Software supply chain security: a systematic literature review

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International Journal of Computers and Applications 2024年第10期46卷 853-867页

作者： Reichert, Beatriz M. Obelheiro, Rafael R. Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

In recent years, software supply chain security has attracted significant research attention. This research subject is concerned both with the security of infrastructures used to build software and deliver it to end users and with the security of software that contains external dependencies such as third-party packages and libraries, and its chief goal is to ensure that no vulnerabilities are introduced in the path between developers and users. This paper presents a Systematic Literature Review to identify knowledge gaps in software supply chain security. For this, we considered studies published between 2012 and 2023 in the search engines of IEEE Xplore, ACM Digital Library, Engineering Village, Scopus, and arXiv. Of the 2051 studies obtained in the primary survey, only 85 are relevant for this research. Analyzing the studies, we observed gaps such as little discussion of software supply chains that involve cloud components, few proposals focused on the software distribution process, and a lack of use of threat modeling frameworks to help identify threats to the supply chain and validate the results. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Software packages

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Experimental analysis of microservices architectures for hosting cloud-based Massive Multiplayer Online Role-Playing Game (MMORPG)

Experimental analysis of microservices architectures for hos...

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IEEE International Conference on Cloud computing Technology and Science (CloudCom)

作者： Marlon H. Schweigert Diego E.G.C. de Oliveira Guilherme P. Koslovski Maurício A. Pillon Charles C. Miers Graduate Program in Applied Computing (PPGCAP) Santa Catarina State University (UDESC) Brazil

The popularization increase of MMORPGs demands new technological approaches to supply users’ requirements with a lower cost of computational resources. Designing these architectures, from the network point of view, is relevant and impacts these games’ success. We analyze and identify the computational resources consumed by the architectures Rudy, Salz, and Willson, which are microservices architectures elaborated for MMORPGs. These architectures were analyzed and tested using automated clients on the architectures deployed in our private computational cloud to identify resource bottlenecks. We conclude the performance, from the point of view of response time, is related to better use of CPU, either by data storage microservices or by data processing microservices. In addition, the application of queuing systems or barriers to manage access or minimize the consumption of an internal service proved feasible, directly impacting the flow of data through the architecture.

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Comparing Best and Quota Fragment Picker Protocols applied to Protein Structure Prediction 20th

Comparing Best and Quota Fragment Picker Protocols Applied t...

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20th International Conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

作者： Will, Nilcimar Neitzel Parpinelli, Rafael Stubs UDESC Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

ISBN: (纸本)9783030730499

The use of fragment insertion in the protein structure prediction problem can be considered one of the most successful strategies to add problem-dependent information. The well known Rosetta suite provides two protocols for generating fragment libraries: Best and Quota. The first aims to maximize a given score function, while the second aims add fragment diversity. This paper presents the results with four proteins to verify the impact of using more secondary structure information through the quota protocol when compared to the best protocol. The tests were performed considering the PSIPRED, SPIDER2, and MUFold predictors. Results obtained are compared in terms of RMSD, processing time, and convergence. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Forecasting

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Integrity of Cyber-Physical Discrete Event Systems under covert actuator attacks

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IFAC-PapersOnLine 2024年第1期58卷 198-203页

作者： Samuel Oliveira André B. Leal Marcelo Teixeira Yuri K. Lopes Department of Exact and Technological Sciences Federal University of Amapá (UNIFAP) Macapá/AP Brazil Graduate Program in Electrical Engineering Santa Catarina State University (UDESC) Joinville/SC Brazil Graduate Program in Electrical Engineering Federal University of Technology (UTFPR) Pato Branco/PR Brazil Graduate Program in Applied Computing Santa Catarina State University (UDESC) Joinville/SC Brazil

The connectivity requirements brought by Industry 4.0 pose new challenges for cyber-physical systems (CPS), such as the strengthening of their resilience against cyberattacks. In this paper, we use the discrete event systems (DES) formalism to develop an approach that aims to protect CPS from covert actuator attacks using event permutation maps. In this approach, properly selected controllable events are permuted on the plant's site so that attacks on actuators do not have the impact on the plant as expected by the intruder and unsafe states are avoided. Furthermore, a property termed AE-protectability is presented to characterize the necessary and sufficient conditions for the system to be protected against such attacks through event permutations. The proposed approach is applied to a case study where the Identification of the attack is done without causing damage while maintaining the integrity of the system.

关键词： Cyber-security Supervisory Control Theory Diagnosis

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