• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.5B
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• pp.477-483
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• 2011

In this paper, we propose the design and implementation of the storage-based data sharing system in the separate network environment to improve efficiency of data transmission. The previous system generates files per received packet and transmit files to another network through storage. This system causes inefficiency by reading unnecessary blocks, when it transmits a number of files through storage. Our proposed system deals with this inefficiency by adopting concept of snapshot. Consequently, we create one file with snapshot so that the number of files can be reduced and the file size can be optimized according to the block size. The proposed system improves the response time significantly with the minimized reading of unnecessary blocks, compared to the previous system.

• 한국정보통신설비학회:학술대회논문집
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• 2006.08a
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• pp.77-81
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• 2006

Because of the rapid increasing of network user, there are some problems to tolerate the network overhead. Recently, the research and technology of the user-level for high performance and low latency than TCP/IP which relied upon the kernel for processing the messages. For example, there is an Infiniband technology. The Infiniband Trade Association (IBTA) has been proposed as an industry standard for both communication between processing node and I/O devices and for inter-processor communication. It replaces the traditional bus-based interconnect with a switch-based network for connecting processing node and I/O devices. Also Infiniband uses RDMA (Remote DMA) for low latency of CPU and OS to communicate between Remote nodes. In this paper, we develop the SRP (SCSI RDMA Protocol) which is Storage Access Protocol on Infiniband network. And will compare to FC (Fibre Channle) based I-SCSI (Internet SCSI) that it is used to access storage on Etherent Fabric.

• ETRI Journal
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• v.41 no.6
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• pp.760-770
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• 2019

Based on the growing demand for neural network technologies, various neural network inference engines are being developed. However, each inference engine has its own neural network storage format. There is a growing demand for standardization to solve this problem. This study presents interworking techniques for ensuring the compatibility of neural networks and data among the various deep learning frameworks. The proposed technique standardizes the graphic expression grammar and learning data storage format using the Neural Network Exchange Format (NNEF) of Khronos. The proposed converter includes a lexical, syntax, and parser. This NNEF parser converts neural network information into a parsing tree and quantizes data. To validate the proposed system, we verified that MNIST is immediately executed by importing AlexNet's neural network and learned data. Therefore, this study contributes an efficient design technique for a converter that can execute a neural network and learned data in various frameworks regardless of the storage format of each framework.

• Journal of Internet Computing and Services
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• v.4 no.1
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• pp.53-65
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• 2003

I/O processing speed of relatively sluggish storage devices incurs overall performance degradation in computer systems. As a solution to improve the situation, SAN(Storage Area Network) has been proposed. In order to utilize a SAN system more effectively, where storage devices are directly connected with a high speed network such as Fibre Channel, a proper management tool is needed. In this paper, we present a design and implementation of a performance monitoring and configuration management tool for the SANtopia system which supports global file sharing in the SAN environment The developed tool is to monitor the performance of the Linux hosts composing the SANtopia system and to manage the configuration of the hosts and storage devices. It also supports GUI(Graphic User Interface) environment using the JAVA programming language.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.275-279
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• 2004

In this paper, a large-scale, wide-area storage system based on IP is proposed which is under development. OASIS is a storage system enforced with very high-scalability up to hundreds and thousands of clients over IP network, and it is able to extend the service to the wide area network. For this purpose, we adopt an storage interconnection technology based on IP, the object based storage technology and a clustered server architecture which provides high-scalability and availability to our system. This system can be utilized to provide network storage service which gains more reality with the incoming FTTH and WiBro services.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.655-657
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• 2003

최근 네트워크의 발전과 더불어 정보의 크기는 점점 커져 가고 있으며 이를 효율적으로 공유하고 관리하는 것은 매우 중요한 일이다. 지속적으로 커지고 있는 방대한 양의 정보를 현재와 같이 하나의 디스크에서 관리하는 것은 많은 한계점을 가지고 있는데 이를 네트워크를 통한 여러 개의 디스크를 공유하는 SAN(Storage area Network)과 NAS(Network Attached Storage)의 방법을 통하여 해결 할 수 있다. SAN은 디스크와 클라이언트를 직접 연결하여 서비스를 제공하기 때문에 좋은 성능을 보이지만. 디스크와 클라이언트를 연결하는 장치의 가격이 비싼 단점이 있다. 이 논문에서는 기존의 SAN장치보다 저렴한 가격의 IEEE1394a 네트워크를 이용하여 SAN을 구성하고 NAS(NFS)와의 성능 비교를 하였으며, IEEE1394a 네트워크의 저가의 SAN으로의 성능적 측면에서의 가능성과 문제점을 알아보았다.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.10
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• pp.867-873
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• 2001

The purpose of this study is to find analytic solution of determining the optimal capacity (lot-size) of multiproduct acyclic multistage production and inventory system to meet the finished product demand under the constraint of finite intermediate storage. Intermediate storage is a practical way to mitigate the material flow imbalance through the line of supply and demand chain. However, the cost of constructing and operating storage facilities is becoming substantial because of increasing land value, environmental and safety concern. Therefore, reasonable decision-making about the capacity of processes and storage units is an important subject for industries. The industrial solution for this subject is to use the classical economic lot sizing method, EOQ/EPQ(Economic Order Quantity/Economic Production Quantity) model, incorporated with practical experience. But EOQ/EPQ model is not suitable for the chemical plant design with highly interlinked processes and storage units because it is developed based on single product and single stage. This study overcomes the limitation of the classical lot sizing method. The superstructure of the plant consists of the network of serially and/or parallelly interlinked non-continuous processes and storage units. The processes transform a set of feedstock materials into another set of products with constant conversion factors. A novel production and inventory analysis method, PSW(Periodic Square Wave) model, is applied to describe the detail material flows among equipments. The objective function of this study is minimizing the total cost composed of setup and inventory holding cost. The advantage of PSW model comes from the fact that the model provides a set of simple analytic solutions in spite of realistic description of the material flows between processes and storage units. the resulting simple analytic solution can greatly enhance the proper and quick investment decision for the preliminary plant design problem confronted with economic situation.

• IE interfaces
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• v.23 no.4
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• pp.311-318
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• 2010

In the daily multi-reservoir operating problem, monthly storage targets can be used as principal operational guidelines. In this study, we tested the use of a simple back-propagation Artificial Neural Network (ANN) model to derive monthly storage guideline for daily Coordinated Multi-reservoir Operating Model (CoMOM) of the Han-River basin. This approach is based on the belief that the optimum solution of the daily CoMOM has a good performance, and the ANN model trained with the results of daily CoMOM would produce effective monthly operating guidelines. The optimum results of daily CoMOM is used as the training set for the back-propagation ANN model, which is designed to derive monthly reservoir storage targets in the basin. For the input patterns of the ANN model, we adopted the ratios of initial storage of each dam to the storage of Paldang dam, ratios of monthly expected inflow of each dam to the total inflow of the whole basin, ratios of monthly demand at each dam to the total demand of the whole basin, ratio of total storage of the whole basin to the active storage of Paldang dam, and the ratio of total inflow of the whole basin to the active storage of the whole basin. And the output pattern of ANN model is the optimal final storages that are generated by the daily CoMOM. Then, we analyzed the performance of the ANN model by using a real-time simulation procedure for the multi-reservoir system of the Han-river basin, assuming that historical inflows from October 1st, 2004 to June 30th, 2007 (except July, August, September) were occurred. The simulation results showed that by utilizing the monthly storage target provided by the ANN model, we could reduce the spillages, increase hydropower generation, and secure more water at the end of the planning horizon compared to the historical records.

• Smart Media Journal
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• v.5 no.1
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• pp.69-77
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• 2016

This paper proposes a software defined storaging method to converge the network virtualization technique and the RAID of distributed storage environment. The proposed method designs software based storage which it apply a flexible control and maintenance of storages. In addition, the method overcomes the restricted of physical storage capacity and cut costs of data recovery. The proposed failover recovery technique based on Software-Defined RAID has been tested the substantial verification and the performance using public AWS and Google Storage.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.171-179
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• 2024

Decentralized energy production without greenhouse gas emissions from renewable energy sources despite their advantage and environmental impact suffers from the problem of intermittent and fluctuating supply depending on weather conditions. To overcome this problem, energy storage is essential to enable reliable and continuous supply of the load. Hydrogen is one of the most promising energy storage solutions because it is easily transportable and can be used as fuel or as a raw material for the production of other chemicals.In this article, we will focus on hydrogen energy storage techniques using photovoltaic systems. We will review the different types of hydrogen storage structuresfor several applications, including residential and commercial buildings, as well as industry and transportation (electric vehicles using PEFMC fuel cells).