• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.19-26
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• 2023

Critical information infrastructure designations for cloud service providers continue to spread around the world as energy, financial services, health, telecommunications, and transportation sectors move to the cloud. In addition, in the case of Ukraine, the removal of restrictions on the use of cloud for national critical facilities and the rapid transition of critical data to the cloud enabled the country to effectively respond to cyberattacks targeting Russian infrastructure. In Korea, the ISMS-P is operated to implement a systematic and comprehensive information protection management system and to improve the level of information protection and personal information protection management in organizations. Control items considering the cloud environment have been modified and added to the audit of companies. However, due to the different technical levels of clouds between domestic and global, it is not easy to obtain information on the findings of cloud providers such as Microsoft for the training of domestic certification auditors on hyperscale scale. Therefore, this paper analyzes findings in hyperscale clouds and suggests ways to improve cloud-specific control items by considering the compatibility of hyperscale environments with ISO/IEC 27001 and SOC(System and Organization Control) security international standards.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.26-27
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• 2020

본 논문에서는 서로 다른 특성을 갖기 때문에 표준화가 어려운 엣지 플랫폼에서 동일한 머신 러닝 모델로도 확장 가능한 분석 서비스를 하기 위해, 마이크로서비스 기반으로 협업 분석 하는 설계 방법을 소개한다. 이를 위해 실제 사용자 분석 결과 적응적인 컨텐츠 서비스 시나리오를 고려하였다. 서로 다른 성능을 갖는 엣지가 협업하기 위해서 클라우드에서 제공 받는 어플리케이션을 마이크로 서비스화 하고 다수의 엣지에 해당 서비스를 분산 분포하여 연결한다. 해당 방법은 전체 서비스를 상호 독립적인 최소 구성 요소로 분할하고 모든 요소가 독립적으로 연동되어 타스크를 수행하게 하며 유사한 프로세스는 공유함으로서 상대적으로 성능이 떨어지는 엣지들간 협력으로 효율적인 분석 서비스 제공이 가능하도록 할 것이다.

• Broadcasting and Media Magazine
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• v.18 no.1
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• pp.89-104
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• 2013

다양한 스마트기기 간 및 앱(Application) 간 연동을 통한 스마트미디어 생태계 환경에서 애플(Apple), 구글(Google), 마이크로소프트(Microsoft) 등 SW(Software) 기반 OS(Operating System) 플랫폼들은 개별 체제 강화를 더욱 견고히 하고 있다. 생태계 내 타(他) 구성원들은 이들에 의한 제약이 더욱 심해지자, 웹 문서의 표준화(HTML5)나 클라우드 컴퓨팅(Cloud computing) 같은 개방화된 기술들을 환영한다. 실제로 최근 웹 애플리케이션(Web application) 개발과 개발자들의 OS 플랫폼 이탈은 이러한 변화의 단면을 보여주기 시작했다. 본 고는 SW 중심에서 서비스 중심으로 이동 중인 플랫폼 경쟁 환경에서 네트워크를 보유 중인 방송통신사업자들의 새로운 스마트미디어 전략 방향을 제시하는데 그 목적을 둔다. 이를 위해 두 가지 기술적 배경인 HTML5와 클라우드 컴퓨팅 기술들을 살펴본 후, 그 동안 SW 중심 플랫폼 경쟁 환경에서 주도권을 빼앗겼다고 깨달은 방송통신사업자가 취해야 할, 두 가지 새로운 기술적 환경에서의 스마트미디어 전략을 제시하였다. 분석 결과, HTML5가 모바일 분야의 핵심 기술이 될 전망이지만, 단기적으로는 여전히 미성숙 문제가 제기될 것으로 보이며, 기존 경쟁력을 유지하려는 OS 사업자들의 가치사슬 통합 전략이 가시화되고 있는 환경이 목격된다. 또한, 클라우드 서비스 제공도 이미 이들 OS사업자들의 기존 생태계 유지를 위한 핵심 툴로 이미 활용되기 시작했다. 그럼에도 불구하고 HTML5와 클라우드 컴퓨팅은 방송통신사업자들에게 생태계 주도권을 탈환할 수 있는 중요한 기술로 인식되고 있다. 따라서 본 연구에서는 이를 기반으로 세 가지 이용자 경험인 '경계 없는', '동질적인', '끊김 없는' 이용자 경험(User Experience) 제공을 위해 노력하는 선도적인 사례 탐색이 시도되었으며, 이를 통해 방송통신사업자들의 미래 스마트미디어 전략 방향이 도출되었다. '경계 없는' 서비스에서는 구글, 애플 외의 멀티OS 전략과 기존 OS의 앱 서비스 대항마인 아마존(Amazon), 페이스북(Facebook) 등과의 적극적 서비스 제휴, '동질적인' 서비스에서는 클라우드 기반 주요 콘텐츠 플랫폼 제휴와 방송통신 가입자 기반의 All-IP기반으로의 확대, 마지막으로 '끊김 없는' 서비스에서는 SNS, LBS, 가상현실 등과의 매쉬업(Mash-up)과 의료, 금융 등과의 융합서비스 개발을 통한 스마트홈 전략 추진, 인증 및 결제시스템의 개방화 등이 제시되었다.

• KIISE Transactions on Computing Practices
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• v.23 no.2
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• pp.85-96
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• 2017

IoT-Cloud service, integration of Internet of Things (IoT) and Cloud, is becoming a critical model for realizing creative and futuristic application services. Since IoT machines have little computing capacity, it is effective to attaching public Cloud resources for realizing IoT-Cloud service. Furthermore, utilizing containers and adopting a microservice architecture for developing IoT-Cloud service are useful for effective realization. The quality of microservice based IoT-Cloud service is affected by service function chaining which inter-connects each functions. For example, an issue with some of the functions or a bottleneck of inter-connection can degrade the service quality. To ensure functionality of the entire service, various test procedures considering various service environments are required to improve the service continuously. Hence in this paper, we introduce experimental realization of continuous integration based on DevOps and employ application performance monitoring for Node.js based IoT-Cloud service. Then we discuss its effectiveness.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.5
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• pp.373-383
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• 2015

This paper proposes a decision support system to recognizing retinal diseases. This paper uses a smartphone platform and cloud computing as the base of the system. A microscopic lens is attached int' the smartphone camera to capture the user retinal image for recognizing the user's retinal condition. An application is assembled in computer and then installed in to the smartphone. The application role is to connect between the system in smartphone and system in cloud, the application will send the retinal image to the cloud system to be classified. The paper uses OCFE (optimized classifier based on feature elimination) algorithm as the classifier. The retinal image is trained using combination of two ophthalmology databases DIARETDB1 v2.1 and STARE. Therefore, this system average accuracy is 88%, while the average error rate is 12%.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.7-18
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• 2018

Recently, serverless computing is spotlighted. Because it supports the development of application based on micro-service. Micro-service means a small-scale service that can operate independently. Applications with micro-service units have the advantage of enabling individual updates, easy and fast deployment. In addition, it has the advantage of supporting various languages and platforms for each service. Therefore many enterprise are trying to change from monolithic architecture to micro-service based architecture. However, there is a lack of research on methods and baseline for micro-service construction. In this paper, a method is proposed to construct the micro-service unit by analyzing UML design in monolithic application. It also shows the proposed approach can reconstruct monolithic application into micro-service based unit by implementing the constructed micro-services in a real serverless platform environment. In addition, the results of the comparative evaluation with the related studies are presented.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.7
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• pp.219-230
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• 2014

In the cloud computing environment, cloud service users purchase and use the virtualized resources from cloud resource providers on a pay as you go manner. Typically, there are two billing plans for computing resource allocation adopted by large cloud resource providers such as Amazon, Gogrid, and Microsoft, on-demand and reserved plans. Reserved Virtual Machine(VM) instance is provided to users based on the lengthy allocation with the cheaper price than the one of on-demand VM instance which is based on shortly allocation. With the proper mixture allocation of reserved and on-demand VM corresponding to users' requests, cloud service providers are able to reduce the resource allocation cost. To do this, prior researches about VM allocation scheme have been focused on the optimization approach with the users' request prediction techniques. However, it is difficult to predict the expected demands exactly because there are various cloud service users and the their request patterns are heavily fluctuated in reality. Moreover, the previous optimization processing techniques might require unacceptable huge time so it is hard to apply them to the current cloud computing system. In this paper, we propose the cloud brokering system with the adaptive VM allocation schemes called A3R(Adaptive 3 Resource allocation schemes) that do not need any optimization processes and kinds of prediction techniques. By using A3R, the VM instances are allocated to users in response to their service demands adaptively. We demonstrate that our proposed schemes are able to reduce the resource use cost significantly while maintaining the acceptable Quality of Service(QoS) of cloud service users through the evaluation results.

• Journal of Technology Innovation
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• v.23 no.1
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• pp.1-36
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• 2015

The purpose of this research is to find individual user's preference for cloud storage service such as Daum Cloud, Naver N-Drive, GoogleDrive, Dropbox, SkyDrive and iCloud. Through literature reviewed and pilot tests, 6 attributes of cloud storage service (storage capacity, perceived cost, collaboration, accessibility, social influence and perceived security) were selected and all 6 attributes had significant effects on the preference of cloud storage service by conjoint analysis. The results shows that the user's willingness to pay is estimated 10,553 won for the free storage, 4,646 won for the function for mobile accessibility, and 2,443 won for more reliable cloud computing service provider. This study has significance to apply conjoint analysis with economic, technological, and environmental factors to cloud storage service (SaaS) and shed light on policy promotion of next generation of cloud computing ecosystem by user perception with willingness to pay on the storage service.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.30-39
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• 2020

As 5G mobile communication services are provided, efforts are being made to provide various services to users with ultra-low latency. This raises interest in edge computing, which can provide high performance computing services near users instead of cloud computing at the network core. This paper presents an efficient operation and management scheme of a micro data center, which is an essential equipment for realizing edge computing. First, we present the functional structure and deployment plan of edge computing. Next, we present the requirements for the micro data centers for edge computing and the operation and management scheme accordingly. Finally, in order to efficiently manage resources in the micro data centers, we present resource management items to be collected and monitored, and propose a performance indicator to measure the energy efficiency.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.91-97
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• 2021

A microserver is a type of a computing server, in which two or more CPU nodes are implemented on a separate computing board, and a plurality of computing boards are integrated on a main board. In building a cluster system, the microserver has advantages in several points such as energy efficiency, area occupied, and ease of management compared to the existing method of mounting legacy servers in multiple racks. In addition, since the microserver uses a fast interconnection network between CPU nodes, performance improvement for data transfers is expected. The proposed microserver can mount a total of 16 computing boards with 4 CPU nodes on the main board, and uses Serial-RapidIO (SRIO) as an interconnection network. In order to analyze the performance of the proposed microserver in terms of the interconnection network which is a core performance issue of the microserver, we compare and quantify the performance of commercial microservers. As a result of the test, it showed up to about 7 times higher bandwidth improvement when transmitting data using the interconnection network. In addition, with CloudSuite benchmark programs used in actual cloud computing, maximum 60% reduction in execution time was obtained compared to commercial microservers with similar CPU performance specification.