• ETRI Journal
• /
• v.43 no.5
• /
• pp.932-940
• /
• 2021

Currently, research on network functions virtualization focuses on using microservices in cloud environments. Previous studies primarily focused on communication between nodes in physical infrastructure. Until now, there is no sufficient research on group key management in virtual environments. The service is composed of microservices that change dynamically according to the virtual service. There are dependencies for microservices on changing the group membership of the service. There is also a high possibility that various security threats, such as data leakage, communication surveillance, and privacy exposure, may occur in interactive communication with microservices. In this study, we propose an ID-based group key exchange (idGKE) mechanism between microservices as one group. idGKE defines the microservices' schemes: group key gen, join group, leave group, and multiple group join. We experiment in a real environment to evaluate the performance of the proposed mechanism. The proposed mechanism ensures an essential requirement for group key management such as secrecy, sustainability, and performance, improving virtual environment security.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.608-610
• /
• 2018

The future of Internet of Things ecosystem seems to be worth it, however by using a monolithic approach we might end up by dealing with complexity of the system as long as the statistics show that by 2020 IoT devices will reach around 50 billion. The microservice architecture approach utilizes the service-oriented architecture together with best practices and latest developments in software virtualization to overcome complexity issues, allow reusability of services or microservices instead of creating new ones. The microservice architecture provides secure platforms if it is developed and deployed in a container. Thus, this paper surveys on the microservices, microservices architecture and containers, microservices based Internet of Things.

• Journal of Software Assessment and Valuation
• /
• v.17 no.1
• /
• pp.51-58
• /
• 2021

Microservices are not only developed independently, but can also be run and deployed independently, ensuring more flexible scaling and efficient collaboration in a cloud computing environment. This impact has led to a surge in migrating to microservices-oriented application environments in recent years. In order to introduce microservices, the problem of identifying microservice units in a single application built with a single architecture must first be solved. In this paper, we propose an algorithm-based approach to identify microservices from legacy systems. A graph is generated using the meta-information of the legacy code, and a microservice candidate is extracted by applying a clustering algorithm. Modularization quality is evaluated using metrics for the extracted microservice candidates. In addition, in order to validate the proposed method, candidate services are derived using codes of open software that are widely used for benchmarking, and the level of modularity is evaluated using metrics. It can be identified as a smaller unit of microservice, and as a result, the module quality has improved.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.2
• /
• pp.7-14
• /
• 2021

By changing the bulky monolithic services architecture to a microservices-based architecture, industries are managing the rising complexity of Autonomous Vehicles. However, the underlying communication mechanisms for the utilization and distribution of these microservices are incapable of fulfilling the requirements of the futuristic AV, because of the stringent latency requirements along with intermittent and short-lived connectivity issues. This paper proposes to tackle these challenges by employing the revolutionary information-centric networking (ICN) paradigm as an underlying communication architecture. This paper argues that a microservice approach to building autonomous vehicle systems should utilize ICN to achieve effective service utilization, efficient distribution, and uniform service discovery. This research claims that the vision of an information-centric microservices will help to focus on research that can fill in current communication gaps preventing more effective, and lightweight autonomous vehicle services and communication protocols.

• KIPS Transactions on Software and Data Engineering
• /
• v.8 no.3
• /
• pp.97-108
• /
• 2019

As digital content items increase, new content services are often added to or integrated among existing content management systems to manage them. For efficient system integration, this paper designed a content management system that combines two existing content management systems based on a microservices architecture. In addition, during the development process, integrated system that existing systems were recycled without disruption to existing systems, integrated efficiently and implemented as scalable systems. It measured the resource usage of this systems and analyzed the differences between features for system integration using traditional middleware.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.6
• /
• pp.1545-1559
• /
• 2023

In the cloud environment, microservices are implemented through Kubernetes, and these services can be expanded or reduced through the autoscaling function under Kubernetes, depending on the service request or resource usage. However, the increase in the number of nodes or distributed microservices in Kubernetes and the unpredictable autoscaling function make it very difficult for system administrators to conduct operations. Artificial Intelligence for IT Operations (AIOps) supports resource management for cloud services through AI and has attracted attention as a solution to these problems. For example, after the AI model learns the metric or log data collected in the microservice units, failures can be inferred by predicting the resources in future data. However, it is difficult to construct data sets for generating learning models because many microservices used for autoscaling generate different metrics or logs in the same timestamp. In this study, we propose a cloud data refining module and structure that collects metric or log data in a microservice environment implemented by Kubernetes; and arranges it into computing resources corresponding to each service so that AI models can learn and analogize service-specific failures. We obtained Kubernetes-based AIOps learning data through this module, and after learning the built dataset through the AI model, we verified the prediction result through the differences between the obtained and actual data.

• Journal of information and communication convergence engineering
• /
• v.21 no.4
• /
• pp.268-280
• /
• 2023

Several companies have migrated their existing monolithic web applications to microservice architectures. Consequently, research on the identification of microservices from monolithic web applications has been conducted. Meanwhile, the use-case model plays a crucial role in outlining the system's functionalities at a high level of abstraction, and studies have been conducted to identify microservices by utilizing this model. However, previous studies on microservice identification utilizing use-cases did not consider the components executed in the presentation layer. Unlike existing approaches, this paper proposes a technique that considers all three layers of web applications (presentation, business logic, and data access layers). Initially, the components used in the three layers of a web application are extracted by executing all the scenarios that constitute its use-cases. Thereafter, the usage rate of each component is determined for each use-case and the component is allocated to the use-case with the highest rate. Then, each use-case is realized as a microservice. To verify the proposed approach, microservice identification is performed using open-source web applications.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.500-503
• /
• 2023

스마트팜 혁신밸리는 스마트팜에 특화된 스마트팜 기자재 연구·실증 기능의 집약을 위해 추진되었다. 하지만 기존의 스마트팜 실증단지 구축 시스템은 모놀리식 접근 방식을 사용해서 시스템 내 다양한 기능의 업데이트와 유지보수를 하는데 많은 시간과 인력을 필요로 한다. 이에 본 논문은 차후 스마트팜의 실증단지 운영시스템 구축에 마이크로 서비스 아키텍처를 활용한 '마이크로 서비스' 시스템을 제시하는 것을 목적으로 한다. 이를 통해 스마트팜 기능의 통합을 개선하고 대규모배포를 위한 성능을 향상시킬 수 있다. 이를 위해 MSA 설계 전략에 대한 제언을 한다. 향후 실제 실증단지 운영시스템 구축에 본 제안의 유용성을 확인하는 작업이 필요하다.

• Electronics and Telecommunications Trends
• /
• v.37 no.6
• /
• pp.54-63
• /
• 2022

This paper discusses service discoveries for smart trusted reality (TR) glass and networks developed by the Electronics and Telecommunications Research Institute. TR glass provides a differentiated gaze communication service from the well-known AR glass. Services include on-off of products that reach the eye, encryption of courier addresses, and time-based networking services. This paper addresses the technical roots and service scalability of TR glass. Furthermore, the agricultural sector was selected to provide microservices configuration, connectivity with 5G communication, and a full range of applications for extended services.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.9
• /
• pp.267-280
• /
• 2020

Mirror is a physical reflective surface, typically of glass coated with a metal amalgam, and it is to reflect an image clearly. They are available everywhere anytime and become an essential tool for us to observe our faces and appearances. With the advent of modern software technology, we are motivated to enhance the reflection capability of mirrors with the convenience and intelligence of realtime processing, microservices, and machine learning. In this paper, we present a development of Digital Mirror System that provides the realtime reflection functionality as mirror while providing additional convenience and intelligence including personal information retrieval, public information retrieval, appearance age detection, and emotion detection. Moreover, it provides a multi-model user interface of touch-based, voice-based, and gesture-based. We present our design and discuss how it can be implemented with current technology to deliver the realtime mirror reflection while providing useful information and machine learning intelligence.