• Journal of the Korean Solar Energy Society
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• v.24 no.2
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• pp.1-7
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• 2004

In this paper, the new improved method for photovoltaic system was studied available for a lighting load by measuring the state of charge of lead-acid batteries. Photovoltaic systems has been evaluated as one of the most new and renewable energy and especially, the Stand-Alone Photovoltaic system has been used to a street light, a road sign light, an air caution light, an emergency call. Many Stand-Alone PV system are installed by a group. Although the pre-installation cost of PV system is high and it has not been operated due to the absence of optimal management standards. In this paper, it is proposed a new operating method by the measurement of lead-acid battery's SOC with a Ah balancing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.10
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• pp.4642-4660
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• 2016

One major concern of applying Multipath TCP (MPTCP) to data delivery in heterogeneous wireless networks is that the utilization of asymmetric paths with diverse networking-related parameters may cause severe packet reordering and receive buffer blocking (RB²LOC). Although many efforts are devoting to addressing MPTCP's packet reordering problems, their sender-controlled solutions do not consider balancing overhead between an MPTCP sender and receiver, and their fully MPTCP mode cannot make MPTCP achieve a desired performance. This paper proposes a novel receiver-centric buffer blocking-aware data scheduling strategy for MPTCP (dubbed MPTCP-rec) necessitating the following aims: (1) alleviating MPTCP's packet reordering and RB²LOC problems, (2) improving the MPTCP performance, and (3) balancing load between the MPTCP sender and receiver. Simulation results show that the proposed MPTCP-rec solution outperforms the existing MPTCP solutions in terms of data delivery performance in heterogeneous wireless networks.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1283-1285
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• 2007

A wireless sensor network is the combination of a large number of deployed sensors over an area. Communication between the sensors is the most important factor for a successful sensor network. It is mandatory that long distance and multi-hop communication will occur between sensors. Generally sensors relay the sensed data of a particular territory to the command center via a base station. For the non uniformed deployment of sensors many sensors may deploy in hostile areas surrounded by full of obstacles or in other condition it may be out of the direct communication range of the base station. It seems a critical problem for routing data to and from those sensors to the base station. This paper proposes a route management scheme using a dynamic load balancing approach based on residual energy of each agent sensors.

• Journal of Korea Multimedia Society
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• v.3 no.6
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• pp.557-565
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• 2000

According to CORBA specification, there are some mechanisms for object reference management such as Naming Service and Trading service, but these mechanism cant's supply all functionalities needed fomanagement in MICS. So, We have designed and implemented additional special-purpose IPO manager. It provides load balancing service based on real-time information for IPO and fault-tolerable services with the management of redundant IPOs and also provides transparent configuration of client environment with the lists of registered IPOs.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.426-433
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• 2002

This paper deals with an offline routing problem, which can be used as an explicit routing procedure in MPLS(Multiprotocol Label Switching) network, for traffic engineering. This problem is formulated as an MIP(Mixed Integer Programming) with the objective function which is to minimize the sum of the maximum link utilization for load balancing (link utilization) and the routing cost. Constraints arc composed of link capacity restriction and demand requirement that has origin-destination pair, bandwidth requirement and hop restriction. The problem is proved to be NP-hard so that the Lagrangean relaxation method is applied to propose a Lagrangean heuristic. To test the effectiveness & efficiency of the proposed algorithm, computational experiments are performed with numerical instances. The experiment results show that the proposed algorithm solves the problem within a reasonable time.

• International Journal of Naval Architecture and Ocean Engineering
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• v.1 no.2
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• pp.70-77
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• 2009

Today, many middle-sized shipbuilding companies in Korea are experiencing strong competition from shipbuilding companies in other nations. This competition is particularly affecting small- and middle-sized shipyards, rather than the major shipyards that have their own support systems and development capabilities. The acquisition of techniques that would enable maximization of production efficiency and minimization of the gap between planning and execution would increase the competitiveness of small- and middle-sized Korean shipyards. In this paper, research on a simulation-based support system for ship production management, which can be applied to the shipbuilding processes of middle-sized shipbuilding companies, is presented. The simulation research includes layout optimization, load balancing, work stage operation planning, block logistics, and integrated material management. Each item is integrated into a network system with a value chain that includes all shipbuilding processes.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.228-231
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• 2007

ALBM(Adaptive Load Balancing and Management)은 S/W L4 스위치를 포함하는 능동형 클러스터 시스템이다. 이 클러스터 시스템은 확장 가능한 인터넷 서비스와 적응형 부하분산 처리 능력을 제공한다. ALBM 클러스터 시스템을 설계할 때, 우리는 Model-Driven Development Method를 사용하여 메타모델을 설계하였다. 본 논문에서는 클러스터의 구성을 위한 에이전트관리, 정보관리와 같은 기능과 결함내성을 위한 이벤트관리, 알고리즘관리와 같은 기능을 고려하는 메타모델을 제시한다. 이 메타모델의 초점은 클러스터의 구성관리와 결함관리를 클러스터 관리 시스템의 설계에 반영하여, 새롭게 클러스터 시스템을 설계할 때 쉽게 이러한 기능을 가질 수 있도록 지원하는 것이다.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.161-168
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• 2024

As the size of big data models grows, distributed training is emerging as an essential element for large-scale machine learning tasks. In this paper, we propose ParamHub for distributed data training. During the training process, this agent utilizes the provided data to adjust various conditions of the model's parameters, such as the model structure, learning algorithm, hyperparameters, and bias, aiming to minimize the error between the model's predictions and the actual values. Furthermore, it operates autonomously, collecting and updating data in a distributed environment, thereby reducing the burden of load balancing that occurs in a centralized system. And Through communication between agents, resource management and learning processes can be coordinated, enabling efficient management of distributed data and resources. This approach enhances the scalability and stability of distributed machine learning systems while providing flexibility to be applied in various learning environments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.10B
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• pp.1690-1700
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• 2000

Connection management function of the TINA which is developed by TINA-C provides network connection services such as setup modification and release of connections. The connection management function provides these services to network operators to the fault management function that provides backup-path and to the performance management function that provides load-balancing. The connection management function necessarily requires a routing algorithm to set up a new connection. In this paper we propose a new routing algorithm named QTHR (QoS and Traffic parameter based Hierarchical Routing) for TINA based connection management of ATM/B-ISDN network. And we implemented the QTHR and analyzed the performance of the QTHR.

• Journal of the Korea Society for Simulation
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• v.12 no.3
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• pp.69-81
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• 2003

To manage a cluster of distributed server systems, a number of management aspects should be considered in terms of configuration management, fault management, performance management, and user management. System performance monitoring and reporting take an important role for performance and fault management. In this paper, we present distributed system architecture modeling of a performance monitoring and reporting tool. Modeling architecture of four subsystems are introduced: node agent, data collection, performance management & report, and DB schema. The performance-related information collected from distributed servers are categorized into performance counters, event data for system status changes, service quality, and system configuration data. In order to analyze those performance information, we use a number of ways to evaluate data corelation. By using some results from a real site of a company and from simulation of artificial workload, we show the example of performance collection and analysis. Since our report tool detects system fault or node component failure and analyzes performances through resource usage and service quality, we are able to provide information for server load balancing, in short term view, and the cause of system faults and decision for system scale-out and scale-up, in long term view.