Impactos da pandemia Covid-19 em empresas de grande porte: avaliação das mudanças na infraestrutura de tecnologia para o teletrabalho sob as óticas das teorias das capacidades dinâmicas e estrutura adaptativa

With the emergence of the new Covid-19 disease in Brazil in the beginning of 2020, many companies had to reduce their activities or even paralyze them completely, another part of these companies had an additional demand compared to the daily history of operation. The objective of this article is to understand and analyze the main difficulties in the IT field of three large companies to adapt their ICT infrastructure to the new scenario under the theoretical lenses of the Theory of Dynamic Capacities and Theory of Adaptive Structuring. The methodology of this research project proposes the study of multiple cases with a longitudinal perspective and the Dynamic Capabilities Research Model and the Technology Appropriation Model with an exploratory approach, through a case study. As a result, the two models prove that companies A, B and C were able to meet the new demands, adapting their ICT infrastructures to the new scenario caused by the Covid-19 pandemic, forcing employees to adopt the new form of work.Con el surgimiento de la nueva enfermedad Covid-19 en Brasil a principios de 2020, muchas empresas tuvieron que reducir sus actividades o incluso paralizarlas totalmente, otra parte de estas empresas tuvieron una demanda adicional en comparación con el cotidiano histórico de operación. El objetivo de este artículo es comprender y analizar las principales dificultades, en el ámbito de TI de tres grandes empresas para adecuar su infraestructura de TIC al nuevo escenario bajo las lentes teóricas de la Teoría de las Capacidades Dinámicas y Teoría de la Estructuración Adaptativa. La metodología de este proyecto de investigación propone el estudio de casos múltiples con perspectiva longitudinal y los frameworks Modelo de Investigación de Capacidades Dinámicas y el Modelo de Apropiación de Tecnología con abordaje de naturaleza exploratoria, por medio de estudio de caso. Como resultado, los dos modelos demuestran que las empresas A, B y C fueron capaces de soportar las nuevas demandas, adaptando sus infraestructuras de Tics al nuevo escenario causado por la pandemia de Covid-19, obligando a los empleados a adoptar la nueva forma de trabajo.Com o surgimento da nova doença Covid-19 no Brasil no início de 2020, muitas empresas tiveram que que reduzir suas atividades ou até mesmo paralisá-las totalmente, outra parte dessas empresas tiveram uma demanda adicional se comparado com o cotidiano histórico de operação. O objetivo deste artigo é compreender e analisar as principais dificuldades, no âmbito de TI de três empresas de grande porte para adequar sua infraestrutura de TIC ao novo cenário sob as lentes teóricas da Teoria das Capacidades Dinâmicas e Teoria da Estruturação Adaptativa. A metodologia deste projeto de pesquisa propõe o estudo de casos múltiplos com perspectiva longitudinal e os frameworks Modelo de Pesquisa de Capacidades Dinâmicas e o Modelo de Apropriação de Tecnologia com abordagem de natureza exploratória, por meio de estudo de caso. Como resultados, os dois modelos comprovam que as empresas A, B e C tiveram condições de suportar as novas demandas, adaptando as suas infraestruturas de TICs para o novo cenário causado pela pandemia do Covid-19, forçando os colaboradores a adotarem a nova forma de trabalho

Corrigendum to "European contribution to the study of ROS:A summary of the findings and prospects for the future from the COST action BM1203 (EU-ROS)" [Redox Biol. 13 (2017) 94-162]

The European Cooperation in Science and Technology (COST) provides an ideal framework to establish multi-disciplinary research networks. COST Action BM1203 (EU-ROS) represents a consortium of researchers from different disciplines who are dedicated to providing new insights and tools for better understanding redox biology and medicine and, in the long run, to finding new therapeutic strategies to target dysregulated redox processes in various diseases. This report highlights the major achievements of EU-ROS as well as research updates and new perspectives arising from its members. The EU-ROS consortium comprised more than 140 active members who worked together for four years on the topics briefly described below. The formation of reactive oxygen and nitrogen species (RONS) is an established hallmark of our aerobic environment and metabolism but RONS also act as messengers via redox regulation of essential cellular processes. The fact that many diseases have been found to be associated with oxidative stress established the theory of oxidative stress as a trigger of diseases that can be corrected by antioxidant therapy. However, while experimental studies support this thesis, clinical studies still generate controversial results, due to complex pathophysiology of oxidative stress in humans. For future improvement of antioxidant therapy and better understanding of redox-associated disease progression detailed knowledge on the sources and targets of RONS formation and discrimination of their detrimental or beneficial roles is required. In order to advance this important area of biology and medicine, highly synergistic approaches combining a variety of diverse and contrasting disciplines are needed

A methodology for validation of a distributed cloud reservation model

This work presents a methodology for planning and validation of cloud-based distributed systems, considering a number of bottlenecks. The proposed methodology considers the computational model, the data traffic model, the analytical model, and the simulation model. The validated model is specialized to process an online reservation system. The goal is to analyze the performance of three bottlenecks considering critical resources such as a server, disk-file and disk-channel system. Specifically, we aim to use validation to further determine processor utilization and message delay. The proposed model and simulation tool may be used not only to plan and dimensioning of the system but also to guide the management of the distributed system in critical situations that can be anticipated. The general results are important to the validation of such systems. They showed that the effective verification and validation may be relevant to the adequate resource usage of the systemIEEE 10th Annual information technology, electronics and mobile communication conference (IEMCON

Planning of AdHoc and IoT networks under emergency mode of operation

Computer networks, and specifically AdHoc and IoT networks, are constantly evolving to become complex systems marked by diverse features such as clusterization, node mobility, a large number of devices/objects and deployment in a wide variety of environments. Within this context, packet routing that is not optimized (statically, i.e. at design time) may lead, at best, to ineffective behavior (power consumption, packet delays, and congestion). In more critical scenarios, it may lead to network malfunction and abnormal behavior. On the other hand, another relevant factor is the lack of redundancy in emergency scenarios, which leaves the network vulnerable to malfunction and under-performing. In this work, using discrete-event simulation of a model that includes an AdHoc network, Monte Carlo simulation, Random WayPoint mobility model, and an IoT network, we introduce the planning steps, in terms of routing optimization and redundancy, considering an emergency scenario. Specifically, we analyze the processor utilization and mean queueing time of the network under the emergency scenario where nodes and links may be severely affected. The results indicate the impact of routing on network performance for the emergency context in consideration. For example, the number of CPUs (cluster heads) was reduced by 30% with optimized routes. We have extended the model to include redundancy both at the availability and connectivity levels, and we have also shown the steps to the calculation and inclusion of such redundancy.Computer networks, and specifically AdHoc and IoT networks, are constantly evolving to become complex systems marked by diverse features such as clusterization, node mobility, a large number of devices/objects and deployment in a wide variety of environments. Within this context, packet routing that is not optimized (statically, i.e. at design time) may lead, at best, to ineffective behavior (power consumption, packet delays, and congestion). In more critical scenarios, it may lead to network malfunction and abnormal behavior. On the other hand, another relevant factor is the lack of redundancy in emergency scenarios, which leaves the network vulnerable to malfunction and underperforming. In this work, using discrete-event simulation of a model that includes an AdHoc network, Monte Carlo simulation, Random WayPoint mobility model, and an IoT network, we introduce the planning steps, in terms of routing optimization and redundancy, considering an emergency scenario. Specifically, we analyze the processor utilization and mean queueing time of the network under the emergency scenario where nodes and links may be severely affected. The results indicate the impact of routing on network performance for the emergency context in consideration. For example, the number of CPUs (cluster heads) was reduced by 30% with optimized routes. We have extended the model to include redundancy both at the availability and connectivity levels, and we have also shown the steps to the calculation and inclusion of such redundancyIEEE 10th Annual information technology, electronics and mobile communication conference (IEMCON

Modeling and performance analysis of scrumban with test-driven development using discrete event and fuzzy logic

Project management in the software industry has been constantly evolving its development practices. One practice that has been standing out in recent years is Test Driven Development (TDD). However, there is no consensus in the literature about the impact of TDD on the productivity of development teams. Furthermore, no studies were found that analyzed the productivity impact of TDD practitioners in relation to the variations of total project term and complexity of product. Based on three case studies, organized in 18 scenarios, this work used modeling and discrete-event simulation to investigate the impact of TDD on team productivity. The results showed that both factors, total project duration and product complexity, do influence the productivity of the software development team that adopts TDD practice and the most advantageous scenarios were identified. A Fuzzy Logical System was also implemented that recommends TDD based on these two variables6th international conference in software engineering research and innovation (CONISOFT

A management tool based on discrete event simulation for humanitarian support

Humanitarian aid is material or logistical assistance provided for humanitarian purposes, typically in response to humanitarian crises including natural disasters and man-made disaster. Humanitarian assistance requiring short response time windows in almost the whole world may be subject to long queues due to managing problems, e.g., the lack of control and/or inefficient infrastructure. This work tackles such challenge by proposing a low-cost planning and managing model and method based on a discrete-event simulation mirror connected through WEB tools to a near or far management level. The usual configuration of parallel servers (for instance, supported by local RFID monitoring) is implemented by a discrete-event simulation model that is validated by Jackson Networks (and vice versa). The results show a flexible model that may identify bottlenecks in advance in order to accommodate traffic flow variations45562018 Winter Simulation Conference (WSC

Reducing power consumption in smart campus network applications through simulation of high-priority service, traffic balancing, prediction and fuzzy logic

In this work, we tackle power consumption reduction of battery-dependent devices in a smart campus (including hospital) application. These devices are connected by networked systems which may be subject to fluctuation of the message delays that control essential equipment. We show through five case studies using discrete event simulation that power consumption may be reduced using proper prioritization and balancing of the network emergency traffic. A predictor algorithm and a fuzzy logic controller were used to indicate the level upon which the system must switch off the load in order to reduce power consumption. The analysis of a case study shows that a considerable reduction in power consumption was achieved through the reduction of message delays and also due to the fuzzy control of AC and lighting equipment115611672018 Winter Simulation Conference (WSC

Corrigendum to "European contribution to the study of ROS : A summary of the findings and prospects for the future from the COST action BM1203 (EU-ROS)" [Redox Biol. 13 (2017) 94-162]

No abstract available