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34th International Conference on Advanced Information Networking and Applications, AINA 2020

作者： Casagrande, Lucas C. Koslovski, Guilherme P. Miers, Charles C. Pillon, Maurício A. Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

ISBN: (纸本)9783030440404

Grid systems are large-scale platforms which consume a considerable amount of energy. Several efficient resource/power management strategies were proposed by the specialized literature. However, most of the proposed strategies are rule-based policies which do not exploit workload patterns. Deploying the same set of rules on systems using different usage patterns, and platform settings, may lead to a sub-optimized setup. Due to the complex nature of grid systems, tailoring such a system-specific policy is not a straightforward task. In this paper, we explore a Deep Reinforcement Learning (DRL) method to build an adaptive energy-aware scheduling policy. We trained our algorithm using real workload traces from Grid’5000 platform. Our experiments pointed out an energy setup saving up to 7%, as well as average requests waiting time reduction of 27%. Finally, the resuslts clarify the importance of explore the workload to build system-specific policies. © 2020, Springer Nature Switzerland AG.

关键词： Reinforcement learning

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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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Energy-Efficient Haar Transform Architectures Using Efficient Addition Schemes 11

Energy-Efficient Haar Transform Architectures Using Efficien...

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11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020

作者： Seidel, Henrique Rosa, Morgana Da Paim, Guilherme Costa, Eduardo Da Almeida, Sergio Bampi, Sergio Graduate Program on Electronic Engineering and Computing Pelotas Brazil Porto Alegre Brazil

ISBN: (纸本)9781728134277

This paper proposes an energy-efficient Haar transform architecture using efficient adders circuits. Nine levels of decomposition in a fixed-point format are used in the architectures. The Processing Module (PM) of Haar explores efficient Parallel Prefix Adders (PPA) and adder compressors. Since power-of-two operations approximate one of the inputs of the PM module, efficient adder compressors implement them. It allowed a very high precision adjustment of the transform coefficient. The architectures were described in VHDL and synthesized using the ST 65nm CMOS cell library. The results show that the Haar architecture with 4-2 and 5-2 compressors in the PM module, both with the recombination line with a Sklansky (SK) adder, is more efficient. It has a reduction of 33.6% in the cell area, with a 35.7% reduction in total power in comparison with the literature. Moreover, the Haar architecture with 4-2 and 5-2 adder compressors is more efficient than the one using the tool-selected implementation of the behavioral "+" (sum) in VHDL, with 23% of power reduction. © 2020 IEEE.

关键词： Adders

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SSL-C4.5: Implementation of a Classification Algorithm for Semi-supervised Learning Based on C4.5 9th

SSL-C4.5: Implementation of a Classification Algorithm for S...

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9th Brazilian Conference on Intelligent Systems, BRACIS 2020

作者： Ortiz-Díaz, Agustín Alejandro Bayer, Flavio Roberto Baldo, Fabiano Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

ISBN: (纸本)9783030613792

Classification algorithms have been extensively studied in many of the major scientific investigations in recent decades. Many of these algorithms are designed for supervised learning, which requires labeled instances to achieve effective learning models. However, in many of the real human processes, data labeling is expensive and time-consuming. Because of this, alternative learning paradigms have been proposed to reduce the cost of the labeling process without a significant loss of model performance. This paper presents the Semi-Supervised Learning C4.5 algorithm (SSL-C4.5) designed to work in scenarios where only a small part of the data is labeled. SSL-C4.5 was implemented over the J48 implementation of the C4.5 algorithm available at the WEKA platform. The J48 was modified incorporating a metric for semi-supervised learning. This metric aims at inducing decision tree models able to analyze and extract information from the entire training dataset, including instances of unlabeled data in scenarios where they are the majority. The assessment performed using eight different benchmark datasets showed that the new proposal has achieved promising results compared to the supervised version of C4.5. © 2020, Springer Nature Switzerland AG.

关键词： Decision trees

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An improved evolutionary hybrid method for cloud provider selection 8

An improved evolutionary hybrid method for cloud provider se...

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8th Brazilian Conference on Intelligent Systems, BRACIS 2019

作者： Borges De Moraes, Lucas Fiorese, Adriano Stubs Parpinelli, Rafael Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

ISBN: (纸本)9781728142531

Cloud computing (CC) popularization unleashed the creation and competition of a large number of new companies providing CC services, the so called Cloud Providers (CPs). Thus, select the smallest CP set with the lowest price that are the most suitable to a given request (customer's needs, such as demanded resources and desired service quality) becomes a hard problem. Nonetheless, robust search methods like metaheuristics ones are used to solve it, for instance Evolutionary Algorithms (EAs). Performance Indicators (PIs) were used to quantify features of each CP used later to select them using a method. This paper proposes an improved hybrid method which uses in sequence: a deterministic, an EA and a local search method to find the most suitable possible CP set in the solution search space. This hybrid method was tested and has the highest assertiveness among all others methods developed to solve this problem, becoming a promising solution to a real application. © 2019 IEEE.

关键词： Benchmarking

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SDN4Moodle: An SDN-based Toolset to Enhance QoS of Moodle Platform

SDN4Moodle: An SDN-based Toolset to Enhance QoS of Moodle Pl...

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2018 IEEE Symposium on Computers and Communications, ISCC 2018

作者： Marcondes, Anderson H. Da Silva Miers, Charles C. Pillon, Maurcio A. Koslovski, Guilherme P. Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

ISBN: (纸本)9781538669501

Network configuration, performance, and congestion impact the Quality of Service (QoS) of Moodle Learning Management System (LMS). Moreover, LMSs composing modules have different QoS demands for each activity. Upon a network, they compete for resources with applications for social media, streaming, chat, cloud file synchronization, games, among others. Eventually, the network congestion can leave the LMS service unavailable for students and professors. Recently, the popularization of Software Defined Networks (SDN) revolutionized the network management. We propose SDN4Moodle, a toolset to increase the QoS of Moodle services. SDN4Moodle was implemented in conformity to Moodle's plugin guidelines, and it is controlled by internal Moodle events. Each action performed by a Moodle's user is dynamically translated into network forwarding rules, and switches configuration. Our experimental results indicates SDN4Moodle, an open-source system, efficiently achieves flows isolation and bandwidth control on shared networks. © 2018 IEEE.

关键词： Quality of service

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On proposing a non-intrusive device and methodology to monitor motor degradation

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Journal of King Saud University - Engineering Sciences 2023年第3期35卷 215-223页

作者： Kuhn, Henrique Cafruni da Rosa Righi, Rodrigo Crovato, Cesar David Paredes Electrical Engineering Graduate Program Universidade do Vale do Rio dos Sinos São Leopoldo Brazil Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos São Leopoldo Brazil

Monitoring the degradation of induction motors is an essential concern for industries, especially when there are high costs related to maintenance and their stops. Nowadays, there are many non-invasive ways to monitor the health status of induction motors, including sensors to measure temperature, magnetic field, vibration, current, and power. However, installing these sensors may not be a simple task since intrusive procedures such as engine disassembling, wire separation, and engine interruption are commonly observed. Thus, we propose MUCLA (Multiphase Clamp and Tracking - patent pending) as a new device and methodology for monitoring motor degradation by analyzing its stator current. MUCLA introduces a non-invasive current sensors array on a proposed clamp in the hardware perspective, while a spectral tracking methodology refers to our novelty in the software viewpoint. For end-users, the main MUCLA contribution relies on the combination of the simplicity of installation and the possibility of using the proposed device even when considering Variable-Frequency Drive powered engines. The results obtained with both simulation and practical tests show encouraging results over different input workloads and emulated degradation. Compared to the current initiatives, we can classify MUCLA as a better solution for industrial plants in terms of installation time, installation complexity, and cost. © 2021 The Authors

关键词： Induction motors

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Hidden Things and Implicit Interaction: Looking Back on How Invisibility Evolved as a Quality-In-Use Attribute 22

Hidden Things and Implicit Interaction: Looking Back on How ...

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21st Brazilian Symposium on Human Factors in computing Systems, IHC 2022

作者： De Souza Filho, José Cezar Sampaio, Andréia Libório Feitosa, Eduardo Luzeiro Institute of Computing Federal University of Amazonas Manaus Brazil Graduate Program in Computing Federal University of Ceará Quixadá Brazil

ISBN: (纸本)9781450395069

Invisibility in Ubiquitous computing (UbiComp) and Internet of Things (IoT) systems refers to the merge of technology in the environment or the interaction workload decrease so that users can focus on their daily activities. It has been a fundamental attribute for these systems since the UbiComp advent and has received different names and definitions over time. However, there is a lack of retrospective studies investigating how these perspectives contributed to the current concept of Invisibility. Therefore, this paper aims to understand how Invisibility evolved as a quality-in-use attribute. We applied the snowballing method to search for literature evidence about the attributes and interaction evaluation approaches related to Invisibility. We identified eight related attributes: Intelligibility, Accuracy, Control, Customization, Non-obtrusiveness, Diffusion, Transparency, and Understandability. Also, we observed that the existing evaluation approaches consider only part of these attributes. Our findings suggest opportunities to improve the approaches and for future research. © 2022 ACM.

关键词： Internet of things

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Fraud detection in water meters using pattern recognition techniques 17

Fraud detection in water meters using pattern recognition te...

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32nd Annual ACM Symposium on Applied computing, SAC 2017

作者： Detroz, Juliana Patrícia Da Silva, André Tavares PPGCA - Graduate Program in Applied Computing UDESC - Santa Catarina State University Brazil

ISBN: (纸本)9781450344869

Water supply utilities have been increasingly looking for solutions to reduce water wastage. Many efforts have been made aiming to promote a better management of this resource. Fraud detection is one of these actions, as the irregular violations are usually held precariously, thus, causing leaks. In this context, the use of technology in order to automate the identification of potential frauds can be an important support tool to avoid water waste. Thus, this research aims to apply pattern recognition techniques in the implementation of an automated detection of suspected irregularities cases in water meters, through image analysis. The proposed computer vision system is composed of three steps: the detection of the water meter location, obtained by OPF classifier and HOG descriptor, detecting the seals through morphological image processing and segmentation methods;and the classification of frauds, in which the condition of the water meter seals is assessed. We validated the proposed framework using a dataset containing images of water meter inspections. At the last step, the proposed framework reached an average accuracy up to 81.29%. We concluded that a computer vision system is a promising strategy and has potential to benefit the analysis of fraud detection. Copyright 2017 ACM.

关键词： Object detection

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Executing distributed applications on SDN-based Data Center: A study with NAS Parallel Benchmark 7

Executing distributed applications on SDN-based Data Center:...

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2016 7th International Conference on the Network of the Future, NOF 2016

作者： Marcondes, Anderson H. S. Diel, Gustavo De Souza, Felipe R. Vieira, Paulo R. Fiorese, Adriano Koslovski, Guilherme P. Graduate Program in Applied Computing Santa Catarina State University Joinville SC Brazil

ISBN: (纸本)9781509046713

Software-Defined Networking (SDN) paradigm has decoupled data and control planes on traditional networks. In this context, a logically-centralized controller, with full knowledge on network resources and traffic loads, executes routing algorithms to identify forwarding paths, while networking resources (switches and routers) just work on packet forwarding. This work contributes by executing and characterizing a well-know distributed application, NAS parallel benchmark, atop an SDN-based data center. A comparison with different flow routing algorithms is presented, highlighting that an application can reduce its runtime when applying a multi-path routing. © 2016 IEEE.

关键词： Benchmarking

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