• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.529-531
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• 1998

본 논문은 매우 크고 복잡한 실시간 소프트웨어(SW)의 성질들을 이해하기 위한 방법론을 제시한다. 실시간 SW는 일반적으로 상호작용이 많은 프로세스들을 대량으로 가진 수십만에서 수백만 줄의 코드로 구성되어 있다. 이런 SW는 일반적으로 이해하기가 매우 어렵다. 이런 문제를 해결하기 위하여 본 논문에서는 SW를 체계적으로 이해하기 위한 scalable하고 modular한 접근 방법으로서 architecture에 기반을 둔 SW understanding model, 즉 SUMarchitecture을 제시한다. 이 모델은 SW로부터 architecture를 추출하여 SW를 상하계층적 구조로 구성하고 이 architecture의 복잡계층축을 토대로 SW의 구조, 기능 행위의 3차원적인 정보를 추상화 단계와 상세 단계에서 이해할 수 있게 한다. 즉, 이 모델은 복잡계층성, 구조성, 기능성, 행위성, 명세-상세 이원성 등의 5차원 세계에 토대를 둔 SW 역공학 종합 모델이다.

• ETRI Journal
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• v.26 no.4
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• pp.351-359
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• 2004

Flow aggregation is a scalable method to provide quality of service (QoS) guarantees to a large number of flows economically. A round-robin scheduler is an efficient scheduling algorithm. We investigate flow aggregation using a round-robin scheduler and propose the use of periodic timer interrupts for rate control of the round-robin scheduler. The proposed flow aggregator is a single-stage scheduler compared to Cobb's two-stage flow aggregator consisting of an aggregator and non-aggregating scheduler. It is possible to implement flow aggregation in the existing routers with only a software upgrade. We also present a simulation study showing the delay behaviors of the proposed algorithm.

• Journal of the Korea Society of Computer and Information
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• v.23 no.3
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• pp.41-48
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• 2018

The recent sudden increase of big data has characteristics such as continuous generation of data, large amount, and unstructured format. The existing relational database technologies are inadequate to handle such big data due to the limited processing speed and the significant storage expansion cost. Current implemented solutions are mainly based on relational database that are no longer adapted to these data volume. NoSQL solutions allow us to consider new approaches for data warehousing, especially from the multidimensional data management point of view. In this paper, we develop and propose the integrated design methodology based on MongoDB for big data applications. The proposed methodology is more scalable than the existing methodology, so it is easy to handle big data.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.168-170
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• 2014

SDN(Software Defined Networking)은 프로그래밍을 통해 네트워크 경로 설정과 제어 및 기존에 복잡했던 운용관리를 처리할 수 있게 해주는 기술이다. 하지만 중앙 집중 식으로 관리하는 특성에 따라 병목현상이 발생할 수 있으며, 이는 컨트롤러에 트래픽이 집중되고 제어 명령을 지연시키는 문제가 있다. 본 논문은 이러한 문제점을 개선하고자 확장성 있는 메시지 플로우 제어 메커니즘을 제안한다. 이 방법은 기존 스위치와 다르게 목적지만을 저장하는 Table 을 별도로 관리하여 동일한 목적지로 전송되는 패킷에 대해 반복되는 제어 메시지를 감소시킨다. 이를 통해 컨트롤러의 역할을 스위치로 분산하여 Control Plane 트래픽에 대한 부하를 줄일 수 있고, 패킷 전송 Delay, Flow Setup 동안 발생하는 Latency 의 문제점을 효율적으로 개선 할 수 있다.

• The KIPS Transactions:PartA
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• v.8A no.4
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• pp.461-468
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• 2001

Large-scale distributed applications based on Internet and client/server applications have to deal with series of problems such as load balancing, unpredictable communication delays, partial errors, and networking failures. Therefore, sophisticated applications such as teleconferencing, video-on-demand, and concurrent software engineering require an abstracted communication. In this paper, we present our design, implementation and performance analysis of group communication using the CORBA ORB, JAVA RMI, Socket based on distributed computing. We anticipate our study may apply to the various field of applications such as fault-tolerant client/server system, groupware, scalable text retrieval system, and financial information systems.

• Journal of Korea Multimedia Society
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• v.20 no.5
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• pp.827-834
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• 2017

Android's inter-application access enriches its application ecosystem. However, it exposes security vulnerabilities where end-user data can be exploited by attackers. While existing techniques have focused on minimizing the risks of inter-application access, they either suffer from inaccurate risk detection or are primarily available to expert users. This paper introduces a novel technique that automatically analyzes potential risks between a set of applications, aids end-users to effectively assess the identified risks by crowdsourcing assessments, and generates an access control policy which prevents unsafe inter-application access at runtime. Our evaluation demonstrated that our technique identifies potential risks between real-world applications with perfect accuracy, supports a scalable analysis on a large number of applications, and successfully aids end-users' risk assessments.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.143-146
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• 2015

Software Defined Network (SDN) separates control plane and data plane to achieve benefits such as centralized management, centralized provisioning, lower device cost and more flexibility. In SDN, scalability is an important issue. Centralized controller can be a bottle neck and many research tried to solve this issue on the control plan. However, scalability issue does not only happen in the control plane, but also happen in the data plane. In the data plane, flow table is an important component and its size is limited. In a large network operated by SDN technology, the performance of the network can be highly degraded because of the size limitation of a flow table. In this paper, we propose a ranking-based flow replacement method, Flow Table Management (FTM), to overcome this problem.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1330-1336
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• 2019

As the Fourth Industrial Revolution era began, a variety of devices are running on the cloud. These various devices continue to generate various types of data or large amounts of multimedia data. To handle this situation, a large amount of storage is required, and big data technology is required to process stored data and obtain accurate information. NAS (Network Attached Storage) or SAN (Storage Area Network) technology is typically used to build high-speed, high-capacity storage in a network-based environment. In this paper, we propose a method to construct a mass storage device using Network-DAS which is an extension technology of DAS (Direct Attached Storage). Benchmark experiments were performed to verify the scalability of the storage system with 76 HDD. Experimental results show that the proposed high performance mass storage system is scalable and reliable.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.399-406
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• 2023

Cloud computing has been evolved to support edge computing architecture that combines fog management layer with edge servers. The main reason why it is received much attention is low communication latency for real-time IoT applications. At the same time, various cloud task scheduling techniques based on artificial intelligence have been proposed. Artificial intelligence-based cloud task scheduling techniques show better performance in comparison to existing methods, but it has relatively high scheduling time. In this paper, we propose a deep learning-based dynamic scheduling with multi-agents supporting scalability in edge computing environments. The proposed method shows low scheduling time than previous artificial intelligence-based scheduling techniques. To show the effectiveness of the proposed method, we compare the performance between previous and proposed methods in a scalable experimental environment. The results show that our method supports real-time IoT applications with low scheduling time, and shows better performance in terms of the number of completed cloud tasks in a scalable experimental environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.34-41
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• 2017

Wireless mesh networks contain multi-hop routing protocols between wireless nodes and are connected to the Internet through a gateway. These networks perform a role as a backbone and are scalable for main applications. We propose the design of QoS supporting mechanisms for wireless mesh networks using software defined networking. Our proposed scheme is cost-effective and features adaptive QoS mechanisms for wireless router's resource constraints. The QoS mechanisms use software defined networking technology with Openflow protocol based on diffserv and intserv models with MPLS mechanism and RSVP respectively. A performance evaluation model is suggested to verify the validity of the proposed scheme using several QoSmetrics of the wireless mesh networks.