ABSTRACT
COVID-19 has exposed and widened the disparity in education. The paper reviews the efforts made by educational institutions and organizations to offer services to the disadvantaged in an effort to eliminate the educational gap. Based on the literature, the primary issues which led to increasing in the gap of educational inequality were identified as the need for books, internet connection, study gadgets/devices, extra tutoring, food and study space, and psychological counseling. This paper proposes an online system using the microservices architecture to provide a holistic system that addresses the key concerns that contributed to the educational discrepancy. The application proposes a variety of business services that are logically separated from each other, and that can be deployed and scaled independently. Each of the provided services is autonomous and can communicate with other services. © 2023 Wiley Periodicals LLC.
ABSTRACT
COVID-19 has spread throughout the global and has restrained humans in all aspects of life including society, economy, education, etc. The first Corona virus appeared in China on 2019 and had mutated into several variants such as B.1.1.7 (Alpha), B.1.351 (Beta), E484Q (Delta), and BA.2 (Omicron). In order to block the virus to mutate and spread in the communities, we proposed a design of E-Passport by adopting RFID Implants with integrated Microservices technology. Our concepts is we design an android application (E-passport) that will be used by every institution on public places to stop the positive patients getting inside the public space to spread the virus. The checker in every public places need to scan the RFID implants on every humans hand by using NFC technology embedded on android phone with installed E-Passport to determine whether can enter or forbidden to enter. The RFID Implant stored a unique code that can be read as the reference of the person's data information stored in cloud database based on Microservices infrastructure. Our proposed design and architecture are dedicated to stop the COVID-19 virus to spread among public communities. © 2022 IEEE.
ABSTRACT
In recent years, the epidemic of COVID-19 virus has become more and more serious, resulting in more and more people infected by the virus. In view of the transmission and infection characteristics of novel coronavirus and the potential risks of urban epidemic prevention and control, the COVID-19 epidemic prevention and control management system is designed and implemented based on the spring cloud microservice architecture to implement standardized and intelligent management of urban epidemic prevention and control. The mobile terminal is used to collect the nucleic acid detection information, vaccination information and key personnel information of urban residents according to the region, and conduct statistical analysis on all kinds of information to form intelligent visual data for dynamic display, so as to improve the level of epidemic prevention and control management. © 2022 ACM.
ABSTRACT
There is a growing need for next-generation science gateways to increase the accessibility of emerging large-scale datasets for data consumers (e.g., clinicians, researchers) who aim to combat COVID-19-related challenges. Such science gateways that enable access to distributed computing resources for large-scale data management need to be made more programmable, extensible, and scalable. In this article, we propose a novel socio-technical approach for developing a next-generation healthcare science gateway, namely, OnTimeEvidence that addresses data consumer challenges surrounding the COVID-19 pandemic related data analytics. OnTimeEvidence implements an intelligent agent, namely, Vidura Advisor that integrates an evidence-based filtering method to transform manual practices and improve scalability of data analytics. It also features a plug-in management middleware that improves the programmability and extensibility of the science gateway capabilities using microservices. Lastly, we present a usability study that shows the important factors from data consumers' perspective to adopt OnTimeEvidence with chatbot-assisted middleware support to increase their productivity and collaborations to access vast publication archives for rapid knowledge discovery tasks. © 2022 John Wiley & Sons, Ltd.
ABSTRACT
Dynamic regression test selection (RTS) techniques aim to minimize testing efforts by selecting tests using per-test execution traces. However, most existing RTS techniques are not applicable to microservice-based, or, more generally, distributed systems, as the dynamic program analysis is typically limited to a single system. In this paper, we describe our distributed RTS approach, microRTS, which targets automated and manual end-to-end testing in microservice-based software systems. We employ microRTS in a case study on a set of 20 manual end-to-end test cases across 12 versions of the German COVID-19 contact tracing application, a modern microservice-based software system. The results indicate that initially microRTS selects all manual test cases for each version. Yet, through semi-automated filtering of test traces, we are able to effectively reduce the testing effort by 10-50%. In contrast with prior results on automated unit tests, we find method-level granularity of per-test execution traces to be more suitable than class-level for manual end-to-end testing. CCS CONCEPTS • Software and its engineering ${\rightarrow}$ Software testing and debugging. © 2022 ACM.
ABSTRACT
As telecommunications technology progresses, telehealth frameworks are becoming more widely adopted in the context of long-term care (LTC) for older adults, both in care facilities and in homes. Today, robots could assist healthcare workers when they provide care to elderly patients, who constitute a particularly vulnerable population during the COVID-19 pandemic. Previous work on user-centered design of assistive technologies in LTC facilities for seniors has identified positive impacts. The need to deal with the effects of the COVID-19 pandemic emphasizes the benefits of this approach, but also highlights some new challenges for which robots could be interesting solutions to be deployed in LTC facilities. This requires customization of telecommunication and audio/video/data processing to address specific clinical requirements and needs. This paper presents OpenTera, an open source telehealth framework, aiming to facilitate prototyping of such solutions by software and robotic designers. Designed as a microservice-oriented platform, OpenTera is an end-to-end solution that employs a series of independent modules for tasks such as data and session management, telehealth, daily assistive tasks/actions, together with smart devices and environments, all connected through the framework. After explaining the framework, we illustrate how OpenTera can be used to implement robotic solutions for different applications identified in LTC facilities and homes, and we describe how we plan to validate them through field trials.
ABSTRACT
Currently, as COVID-19 spreads around the world, epidemic prevention departments from different provinces and regions often need to carry out cross-regional cooperation. In the paper, some new office platforms based on some office needs of the joint prevention and control work are tried to build. In the paper, the platforms built is capable of visualizing the risk map of regional risks, covering a multi-segment integrated joint prevention and control collaborative business platform system of the CDC, customs, relevant medical institutions and health tracking management departments. For the staff in each business link, they can access the data of cases, close contacts and key health tracking objects through the platform. Based on the work, it's necessary to print relevant certificates online, and at the same time, they also supplement the business data of the link to the data chain, providing better information services for improving the efficiency of joint prevention and control. In the process of making an analysis of the business needs, it is found that when building the platform, it will face problems such as many functional modules, variable demand, and too large amount of concurrency at a certain time. In the paper, the implemented architecture techniques would be explained, the details of the key technology implementation adopted by micro-services in realizing the platform would be clarified, and the significance of the platform to the epidemic prevention work would be finally discussed. © 2021 IEEE.
ABSTRACT
The SARS-CoV-2 pandemic we are experiencing the last few years has resulted in a shift of many of our everyday life activities from the physical to the digital world. Education is a typical example of such a case with both tutors and students experiencing difficulties and delays in communication. To assist towards this direction, also considering the already forming future of online education, we present MI-OPJ, a microservices-based online programming judge. © 2021 IEEE.
ABSTRACT
Novel Coronavirus (COVID-19) has changed the life of the planet. It is extremely important to monitor the situation in real time. Our secure methodology can help people to trace the situation in their country or state without touching a single computer key, just using voice-first computing devices. We have been using the data from multiple sources, created a suite of Alexa skills (Voice-first applications) and observed how the data evolves. The coronavirus data is downloaded automatically to the AWS Cloud and stored securely in the No-SQL DynamoDB database and S3 buckets to help users to monitor up-to-date statistics. Moreover, Alexa Echo devices with screens will display comprehensive graphs containing the most vital numbers - new cases, new deaths, mortality rate and hospitalizations since the pandemic started. Our system is safe, secure, automatic and resilient. It helps users to maintain social distancing and obtain up-to-date information about coronavirus in the location of interest without a single touch, just by using voice. During our journey we have designed and implemented many convenient commands, improving usability and multi-modal user experience. Our innovative approach, serverless architecture and Big Data methodology can help millions of people to stay on top of the coronavirus situation and make day-to-day choices using the information provided. It can also help officials to make educated decisions about opening certain businesses, institutions or activities. Since more and more voice assistants (AI devices) appear in public places - hotels, restaurants, and airports, our approach will help people to stay informed everywhere. Using our touch-free Alexa analytical skills will also promote social distancing. © 2021 IEEE.
ABSTRACT
Analysis and design of e-office application on ministry health of Republic of Indonesia based on microservice architecture. The system is converting from monolithic architecture into microservice architecture by using domain driven design framework to breaking the domain business of the system. Microservice architecture is an important part to agile, resilience, and high-availability. By improvement the feature and the high intention to use to the system by regulation of e-government of Republic of Indonesia at Ministry bureaucracy. By using the Microservice Architecture will improve the productivity of employee, increase the public services, adaptable in current condition of pandemic covid-19 cases in Indonesia. © 2022 Little Lion Scientific
ABSTRACT
A defense system for geoinformation governance must be able to manage geographic information related to national security. A Geographic Information System (GIS) is useful for the defense of the country, as in the case of monitoring the spread of COVID-19, enabling authorities to make decisions based on data (data-driven). The difficulty in developing a GIS for defense is that the system requires specific functionalities from military organizations and is fault-tolerant. A case study was conducted based on requirements engineering ISO/IEC/IEEE 29148:2018, to promote common understanding among all stakeholders, design a framework of GIS for defense, capable of isolating demands in a system developed in modules individualized. The system validation was demonstrated by obtaining the prototype of a tool of the defense system for geoinformation governance. The system framework is composed of input data, migrator, operational core, solver, output bus, geoportal, and external accessors. The application is under development and already has features such as tracing routes and identifying troop access. © 2021 The Authors. Published by Elsevier B.V.