• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.199-205
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• 2008

The centralized conference model has advantage of conference management and control. however it's scalability has been limited as performance degrades largely with increasing number of conference users. So new distributed conference models which improve scalability of centralized conference model have been suggested recently. In the distributed conference model. as conference users exceed a predefined maximum number, a new conference server is added to the conference dynamically. In this paper, We have proposed a new method which increases efficiency of conference event package processing that primary conference server should charge in the distributed conference environment. The primary conference server exchanges informations with each secondary conference servers and conference users by using conference event package. And from the conference information database it selects SIP(Session Initiation Protocol) UA(User Agent) which will share notification to the conference users, and transfers lists to each conference servers. The conference servers make the selected UAs share processing of conference event package, so loads of SIP signal processing decrease, and improve scalability of distributed conference model. The performance of our proposed model is evaluated by experiments.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.20-27
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• 2013

In recently years, with the growth of social media and the development of mobile devices, the data have been significantly increased. MapReduce is an emerging programming model that processes large amount of data. However, since MapReduce evenly places the data in the dedicated distributed computing environment, it is not suitable to the non-dedicated distributed computing environment. The data replacement algorithms were proposed for performance optimization of MapReduce in the non-dedicated distributed computing environments. However, they spend much time for date replacement and cause the network load for unnecessary data transmission. In this paper, we propose an efficient data replacement algorithm for the performance optimization of MapReduce in the non-dedicated distributed computing environments. The proposed scheme computes the ratio of data blocks in the nodes based on the node availability model and reduces the network load by transmitting the data blocks considering the data placement. Our experimental results show that the proposed scheme outperforms the existing scheme.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.3
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• pp.251-260
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• 2002

The parallel/distributed processing with a lot of the idle hosts on the web has the high coot-performance ratio for large-scale applications. It's processing has to show the solutions for unpredictable status such as heterogeneity of hosts, variability of hosts, autonomy of hosts, the supporting performance continuously, and the number of hosts which are participated in computation and so on. In this paper, we propose the strategy of adaptive tack reallocation based on performance the host job processing, spread out geographically Also, It shows the scheme of dynamic host management with dynamic environment, which is changed by lots of hosts on the web during parallel processing for large-scale applications. This paper implements the PDSWeb (Parallel/Distributed Scheme on Web) system, evaluates and applies It to the generation of rendering image with highly intensive computation. The results are showed that the adaptive task reallocation with the variation of hosts has been increased up to maximum 90% and the improvement in performance according to add/delete of hosts.

• KIISE Transactions on Computing Practices
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• v.21 no.8
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• pp.543-548
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• 2015

Recently, volume of data has been growing dramatically along with the growth of social media and digital devices. However, the existing disk-based distributed file systems have limits to their performance of data processing or data access, due to I/O processing costs and bottlenecks. To solve this problem, the caching technique is being used to manage data in the memory. In this paper, we propose a cache management scheme to handle load balancing in a distributed memory environment. The proposed scheme distributes the data according to the memory size, n distributed environments with different memory sizes. If overloaded nodes occur, it redistributes the the access time of the caching data. In order to show the superiority of the proposed scheme, we compare it with an existing distributed cache management scheme through performance evaluation.

• International Journal of Contents
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• v.14 no.1
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• pp.34-38
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• 2018

With the rapid growth of genomic data, new requirements have emerged that are difficult to handle with big data storage and analysis techniques. Regardless of the size of an organization performing genomic data analysis, it is becoming increasingly difficult for an institution to build a computing environment for storing and analyzing genomic data. Recently, cloud computing has emerged as a computing environment that meets these new requirements. In this paper, we analyze and compare existing distributed and parallel NGS (Next Generation Sequencing) analysis based on cloud computing environment for future research.

• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.67-74
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• 2016

Distributed agile software development faces difficulties for instance lack of visibility across development and delivery processes, complex and disjointed development processes, inability to capitalize on business opportunities, lack of communication agility between disconnected owners, development teams, and users or clients. However these difficulties are solved with the help of cloud computing services. This study proposes a framework to provide a skeletal or structural environment for distributed agile software development in cloud computing environment. The framework guide towards the best tooling to deliver a consistent, automated, governed, and unified agile software development process with reduced technical debt, and minimized project backlog. In addition to this, the study highlights the benefits of cloud computing in agile software development.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.215-218
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• 2000

Workflow Management System(WfMS) enables corporations to manage business processes efficiently The purpose of this research is to develop a management system that is capable of managing complicated business processes efficiently under distributed environment where many companies or divisions are participating. Run-time encapsulation proposed in this paper is a system design methodology that enables appropriate response to the dynamically changing processes by using nested processes. We have implemented WfMS under Web environment using run-time encapsulation. Run-time encapsulation using nested process is an efficient development methodology for implementing heterogeneous and distributed WfMS under web environment.

• The Journal of Society for e-Business Studies
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• v.1 no.1
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• pp.69-92
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• 1996

An Integrated Data Environment (IDE) is the end state of the CALS vision. It refers to an environment where all the data generated from the entire lifecycle activities of a product can be shared by anyone that participates in the management. engineering, manufacturing, or support of the product, although the data are geographically distributed and are maintained in heterogeneous platforms. The primary purpose of this paper is to introduce the fundamental concept, architecture, and core implementation technology of an IDE. The secondary purpose is to suggest some strategic directions to the planning staffs in both government and industry. and to suggest some research issues to the researchers in academia. The reference architecture of an IDE being developed by the US DoD and that of NIIIP (National Industrial Information Infrastructure Protocol) being developed by a consortium are discussed. Two principal issues of implementing an integrated database, i.e., distributed object computing including CORBA and multi-database system (MDBS) are reviewed. As a conclusion. the author suggests that daring investment in prototyping an IDE by a nationwide consortium is essential to keep up with the advanced countries in CALS implementation.

• Journal of Multimedia Information System
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• v.7 no.2
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• pp.125-136
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• 2020

Nowadays, cloud computing is becoming more popular among companies. However, the characteristics of cloud computing such as a virtualized environment, constantly changing, possible to modify easily and multi-tenancy with a distributed nature, it is difficult to perform attack detection with traditional tools. This work proposes a solution which aims to collect traffic packets data by using Flume and filter them with Spark Streaming so it is possible to only consider suspicious data related to HTTP Slow Rate Denial-of-Service attacks and reduce the data that will be stored in Hadoop Distributed File System for analysis with the FP-Growth algorithm. With the proposed system, we also aim to address the difficulties in attack detection in cloud environment, facilitating the data collection, reducing detection time and enabling an almost real-time attack detection.

• Korean Journal of Computational Design and Engineering
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• v.5 no.1
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• pp.61-70
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• 2000

The design and development of a Web-based Workflow Management System (WfMS) is described in this paper. WfMSs are employed by many organizations to manage their business processes efficiently. The goal of this research is to provide an effective management of design processes in a distributed and heterogeneous environment-an environment in which workflow participants are geographically dispersed and use different computing platforms. We identify the requirements of WfMSs for the distributed and heterogeneous environment. We present an approach to applying the Web technology to was. The developed system is composed of three main modules: Worflow Engine, Web-based clients, and Process Designer. The workflow engine is implemented in pure Java for portability to heterogeneous platforms. furthermore, the client interfaces are all programmed using applets, and thus they can be readily accessed through the Internet/intranet. The Process Designer provides a build-time function of generating process specifications. Some important functions of the developed system are explained in this paper. A prototype system has been developed and applied to design processes. The system allows effective cooperation among designers who may be geographically separated.