• Journal of Korean Society of Archives and Records Management
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• v.19 no.3
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• pp.247-270
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• 2019

The transition of the central government system to the cloud-based infrastructure is being conducted as the National Information Resources Service (NIRS, Ministry of the Interior and Safety) attempts to integrate government IT resources. In the early days, the transition was attempted as an infrastructure as a service (IaaS) for the cloud service of HW; however, currently, ithe transition is being converted to software as a service (SaaS) for the service of common business. Typical and common business is a document creation for government service and records management. Document creation is produced on cloud On-Nara system, and such system is deployed to central government agencies from 2015 to 2018, as well as the deployment to local government plans is to be gradually implemented after 2018. Currently, the records management is performed with the cloud RMS system, and such system is distributed to the central government from 2016 to 2018, as well as the dissemination to the local government is scheduled to be carried out, considering the adoption of the On-Nara system.

• Journal of Internet Computing and Services
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• v.11 no.5
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• pp.105-117
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• 2010

In recent years, dynamic collaboration (DC) among cloud providers (CPs) is becoming an inevitable approach for the widely use of cloud computing and to realize the greatest value of it. In our previous paper, we proposed a combinatorial auction (CA) based cloud market model called CACM that enables a DC platform among different CPs. The CACM model allows any CP to dynamically collaborate with suitable partner CPs to form a group before joining an auction and thus addresses the issue of conflicts minimization that may occur when negotiating among providers. But how to determine optimal group bidding prices, how to obtain the stability condition of the group and how to distribute the winning prices/profits among the group members in the CACM model have not been studied thoroughly. In this paper, we propose to formulate the above problems of cooperative negotiation in the CACM model as a bankruptcy game which is a special type of N-person cooperative game. The stability of the group is analyzed by using the concept of the core and the amount of allocationsto each member of the group is obtained by using Shapley value. Numerical results are presented to demonstrate the behaviors of the proposed approaches.

• Journal of KIISE
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• v.41 no.9
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• pp.674-685
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• 2014

The Knowledge service system needs to infer a new knowledge from indicated knowledge to provide its effective service. Most of the Knowledge service system is expressed in terms of ontology. The volume of knowledge information in a real world is getting massive, so effective technique for massive data of ontology is drawing attention. This paper is to provide the method to infer massive data-ontology to the extent of RDFS, based on cloud computing environment, and evaluate its capability. RDFS inference suggested in this paper is focused on both the method applying MapReduce based on RDFS meta table, and the method of single use of cloud computing memory without using MapReduce under distributed file computing environment. Therefore, this paper explains basically the inference system structure of each technique, the meta table set-up according to RDFS inference rule, and the algorithm of inference strategy. In order to evaluate suggested method in this paper, we perform experiment with LUBM set which is formal data to evaluate ontology inference and search speed. In case LUBM6000, the RDFS inference technique based on meta table had required 13.75 minutes(inferring 1,042 triples per second) to conduct total inference, whereas the method applying the cloud computing memory had needed 7.24 minutes(inferring 1,979 triples per second) showing its speed twice faster.

• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.29-43
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• 2014

The development of NGS technologies, such as scientific workflows, has reduced the time required for decoding DNA sequences. Although the automated technologies change the genome sequence analysis environment, limited computing resources still pose problems for the analysis. Most scientific workflow systems are pre-built platforms and are highly complex because a lot of the functions are implemented into one system platform. It is also difficult to apply components of pre-built systems to a new system in the cloud environment. Cloud computing technologies can be applied to the systems to reduce analysis time and enable simultaneous analysis of massive DNA sequence data. Web service techniques are also introduced for improving the interoperability between DNA sequence analysis systems. The workflow-based middleware, which supports Web services, DBMS, and cloud computing, is proposed in this paper for expecting to reduceanalysis time and aiding lightweight virtual instances. It uses DBMS for managing the pipeline status and supporting the creation of lightweight virtual instances in the cloud environment. Also, the RESTful Web services with simple URI and XML contents are applied for improving the interoperability. The performance test of the system needs to be conducted by comparing results other developed DNA analysis services at the stabilization stage.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.5
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• pp.301-308
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• 2021

It is important to develop a digital SOC (Social Overhead Capital) maintenance system for preemptive maintenance in response to the rapid aging of social infrastructures. Abnormal signals induced from structures can be detected quickly and optimal decisions can be made promptly using IoT sensors deployed on the structures. In this study, a digital SOC monitoring system incorporating a multimetric IoT sensor was developed for long-term monitoring, for use in cloud-computing server for automated and powerful data analysis, and for establishing databases to perform : (1) multimetric sensing, (2) long-term operation, and (3) LTE-based direct communication. The developed sensor had three axes of acceleration, and five axes of strain sensing channels for multimetric sensing, and had an event-driven power management system that activated the sensors only when vibration exceeded a predetermined limit, or the timer was triggered. The power management system could reduce power consumption, and an additional solar panel charging could enable long-term operation. Data from the sensors were transmitted to the server in real-time via low-power LTE-CAT M1 communication, which does not require an additional gateway device. Furthermore, the cloud server was developed to receive multi-variable data from the sensor, and perform a displacement fusion algorithm to obtain reference-free structural displacement for ambient structural assessment. The proposed digital SOC system was experimentally validated on a steel railroad and concrete girder bridge.

• Annual Conference of KIPS
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• 2015.04a
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• pp.22-25
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• 2015

IT 기술의 발전과 변화에 따라 기업에서는 기업용 시스템 관리를 위하여 가상화 컴퓨팅 시스템을 도입을 추진 중이며 비용 절감 및 보안 이슈들을 검토하기를 앞다투고 있다. 따라서 본 논문에서는 가상화 기술의 종류 및 방법들을 연구하여 보고 사례 분석 등을 통하여 기업 시스템 관리를 위한 폐쇄적 가상화 컴퓨팅 시스템 기술의 방법을 제시해보며 효과 분석을 도출해본다.

• Annual Conference of KIPS
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• 2018.10a
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• pp.80-81
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• 2018

모바일, IoT, 데스크탑의 컴퓨팅 자원을 통합한 환경에서 다중 작업을 처리하는 연구가 진행되고 있다. 통합된 컴퓨팅 자원(Integrated Computing Resources)에서 다중 작업(Multi-Job)을 처리할 경우에는 실시간으로 발생하는 작업 부하 및 대규모의 컴퓨팅 능력이 요구된다. 또한 사용자에게는 단일 작업 처리 시간과 유사한 작업 처리 속도를 제공해야한다. 기존 클라우드 컴퓨팅의 작업 처리 연구에서는 고성능의 컴퓨팅 자원을 이용하여 단일 작업 처리 속도를 향상시키는 연구는 진행되었으나 다중 작업 처리에 대한 연구는 미흡하다. 본 논문에서는 통합된 컴퓨팅 자원에서 두 개 이상의 작업을 수행하여 작업 처리량을 향상 시키는 다중 작업 스케줄링(MJS-MM)을 제안한다. MJS-MM은 서브미션된 작업을 분할(Decomposition)하고 가용 컴퓨팅의 성능기반 작업을 수행하여 총소요시간(Makespan)을 최소화 할 수 있도록 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.73-81
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• 2020

Today's massively multiplayer online games(MMOGs) can contain millions of synchronous players scattered across the world and participating with each other within a single shared game. The increase in the number of players in MMOGs has led to some issues with the demand of server which generates a significant increase in costs for the game industry and impacts to the quality of service offered to players. In dealing with a considerable scale of MMOGs, we propose a cloud computing and peer-to-peer(P2P) hybrid architecture in this paper. Given the two nearly independent functionalities of P2P and cloud architectures, we consider the possibility of fusing these two concepts and researching the application of the resultant amalgamation in MMOGs. With an efficient and effective provisioning of resources and mapping of load, the proposed hybrid architecture relieves a lot of computational power and network traffic, the load on the servers in the cloud while exploiting the capacity of the peers. The simulation results show that MMOGs based on the proposed hybrid architecture have better performance and lower traffic received compared with MMOGs based on traditional client-server system.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.453-460
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• 2018

Virtualization technology is characterized by the ability to isolate the user's system environment and to support the computing resources flexibly and extensively on demand. However, virtualization technology of cloud computing, which is already well known, must overload the guest OS and the hypervisor to manage it. Container technology is emerging to solve such OS-based virtualization problems. This technology can isolate the processes under which the application is running, thus creating a virtualization-like environment with minimal overhead. In this work, we construct a container-based education practice system using Docker instead of the existing cloud-based environment. To do this, we analyze the requirements for the establishment of the training practice environment. We also analyze the functions of the container and study the method to meet the requirements. This can take advantage of the existing flexible and scalable cloud computing. Also, it maximizes the availability of limited resources by minimizing the performance load.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.179-187
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• 2011

Multiple roadmap DB providers are already available in these days, and try to reduce unknown roads in their own roadmaps. However, cooperation models or Win-Win approaches between roadmap providers are not considered yet. Thus, In this paper, We proposed a cloud-oriented real-time roadmap generation and update method between heterogeneous navigation systems for unknown roads. With the proposed method, the roadmap DB providers update the own roadmap DB for navigation systems in real time. Also, they can provide the complete roadmap without unknown roads to users instantly. Therefore, the proposed method can reduce the costs of an actual traveling test and the maintenance for the roadmap DB provides. Thus, the cloud-oriented roadmap generation method can more efficiently update the unknown road information.