• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권5호
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• pp.2243-2257
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• 2019

A heterogeneous cellular network (HCN) is useful to increase the spectral and energy efficiency of wireless networks and to reduce the traffic load from the macro cell. The performance of the secondary user equipment (SUE) is affected by interference from the eNodeB (eNB) in a macro cell. To decrease the interference between the macro cell and the small cell, allocating resources properly is essential to an HCN. This study considers the scenario of a software-defined heterogeneous cellular network and performs the resource allocation process. First, we show the system model of HCN and formulate the optimization problem. The optimization problem is a complex process including power and frequency resource allocation, which imposes an extremely high complexity to the HCN. Therefore, a hierarchical resource allocation scheme is proposed, which including subchannel selection and a particle swarm optimization (PSO)-based power allocation algorithm. Simulation results show that the proposed hierarchical scheme is effective in improving the system capacity and energy efficiency.

• 경영과정보연구
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• 제33권2호
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• pp.135-153
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• 2014

본 연구는 유연한 조직의 원천이 되는 개별 인적자원의 유연성이 조직의 경쟁우위를 위한 핵심적인 요소라고 판단하고 조직에서 인적자원유연성을 확보하기 위해 인적자원관리시스템의 주요 구성요소가 인적자원 유연성에 미치는 영향을 연구하고, 인적자원 유연성의 개념과 하위차원에 대한 고찰을 통해 이들이 조직성과에 어떤 영향을 미치는지를 검증하고자 하였다. 이를 위해 선행연구를 바탕으로 이론연구를 수행하였으며, 국내 138개 주요 기업을 대상으로 조직수준의 실증분석을 실시하였다. 실증분석 결과, 인적자원관리시스템의 구성요소인 선택적 채용, 폭넓은 훈련, 결과지향 평가, 인센티브 보상은 모두 기업의 재무성과에 정(+)의 영향을 미치는 것으로 나타났다. 또한 인적자원관리시스템과 인적자원유연성의 관계를 검증한 결과 선택적 채용, 결과지향 평가, 인센티브 보상은 인적자원의 기술유연성, 행동유연성, 관계유연성에 정(+)의 영향을 미치는 것으로 나타났으나 폭넓은 훈련은 인적자원유연성의 모든 하위차원에 부(-)의 영향을 미치는 것으로 나타났다. 그리고 인적자원관리시스템과 조직성과의 관계에서 인적자원유연성의 매개효과를 검증하였는데 그 결과 부분적으로 매개효과가 있는 것으로 나타났다. 본 연구의 이론연구와 실증분석 결과는 기업의 인적자원관리제도의 운영과 인적자원개발과 종업원의 경력개발을 위한 교육훈련 설계에 많은 시사점과 한계점을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.2914-2935
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• 2016

With the increasing popularization of cloud computing, how to reduce physical energy consumption and increase resource utilization while maintaining system performance has become a research hotspot of virtual machine deployment in cloud platform. Although some related researches have been reported to solve this problem, most of them used the traditional heuristic algorithm based on greedy algorithm and only considered effect of single-dimensional resource (CPU or Memory) on energy consumption. With considerations to multi-dimensional resource utilization, this paper analyzed impact of multi-dimensional resources on energy consumption of cloud computation. A multi-dimensional resource constraint that could maintain normal system operation was proposed. Later, a novel virtual machine deployment method (NVMDM) based on improved particle swarm optimization (IPSO) and Euclidean distance was put forward. It deals with problems like how to generate the initial particle swarm through the improved first-fit algorithm based on resource constraint (IFFABRC), how to define measure standard of credibility of individual and global optimal solutions of particles by combining with Bayesian transform, and how to define fitness function of particle swarm according to the multi-dimensional resource constraint relationship. The proposed NVMDM was proved superior to existing heuristic algorithm in developing performances of physical machines. It could improve utilization of CPU, memory, disk and bandwidth effectively and control task execution time of users within the range of resource constraint.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2736-2750
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• 2022

As demands for the maritime communications increase, a variety of functions and information are required to exchange via elements of maritime systems, which leads communication traffic increases in maritime frequency bands, especially in VHF (Very High Frequency) band. Thus, effective resource management is crucial to the future maritime communication systems not only to the typical terrestrial communication systems. VHF data exchange system (VDES) enables to utilize more flexible configuration according to the communication condition. This paper focuses on the VDES communication system among VDES terminals such as shore stations, ship stations and aids to navigation (AtoN) to address efficient resource allocation. We propose a resource management method considering a MIMO (Multiple Input Multiple Output) technique in VDES, which has been widely used for modern terrestrial wireless networks but not for marine environments by scheduling the essential communication resources. We introduce the general channel model in marine environment and give two metrics, spectral and the energy efficiencies to examine our resource scheduling algorithm. Based on the simulation results and analysis, the proposed method provides a possibility to enhance spectral and energy efficiencies. Additionally, we present a trade-off relationship between spectral and energy efficiencies. Furthermore, we examine the resource efficiencies related to the imperfect channel estimation.

• Agribusiness and Information Management
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• 제5권1호
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• pp.42-54
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• 2013

Information System (IS) Success Model proposed by DeLone and McLean is applied as a successful operation tool of information system, with its basic assumption of symmetric relationship between independent variables and dependent variables of the structural equation modeling. However, because previous studies have proved asymmetry of quality factors' influence structure on dependent variable by applying three-factor analysis, this study examined asymmetry of impact structure of quality factors introduced in IS Success Model on user satisfaction. Also the study applies structure equation modeling (SEM), three-factor analysis and importance and performance analysis (IPA) to develop resource allocation strategy for IS success. The study is able to provide IS practitioners with strategic implications for allocating and managing limited resources more effectively.

• International Journal of Contents
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• 제16권4호
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• pp.16-25
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• 2020

The size of observation data in astronomy has been increasing exponentially with the advents of wide-field optical telescopes. This means the needs of changes to the way used for large-scale astronomy data analysis. The complexity of analysis tools and the lack of extensibility of computing environments, however, lead to the difficulty and inefficiency of dealing with the huge observation data. To address this problem, this paper proposes a workflow execution system for analyzing large-scale astronomy data efficiently. The proposed system is composed of two parts: 1) a workflow execution manager and its RESTful endpoints that can automate and control data analysis tasks based on workflow templates and 2) an elastic resource manager as an underlying mechanism that can dynamically add/remove virtualized computing resources (i.e., virtual machines) according to the analysis requests. To realize our workflow execution system, we implement it on a testbed using OpenStack IaaS (Infrastructure as a Service) toolkit and HTCondor workload manager. We also exhaustively perform a broad range of experiments with different resource allocation patterns, system loads, etc. to show the effectiveness of the proposed system. The results show that the resource allocation mechanism works properly according to the number of queued and running tasks, resulting in improving resource utilization, and the workflow execution manager can handle more than 1,000 concurrent requests within a second with reasonable average response times. We finally describe a case study of data reduction system as an example application of our workflow execution system.

• 한국정보통신학회논문지
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• 제14권3호
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• pp.648-654
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• 2010

자원할당 시스템에서는 자원에 대한 요구연산과 반환연산이 반복적으로 이루어진다. 자원을 요구한 프로세스는 우선순위에 따라 할당받은 뒤, 일정 기간 사용 후 다시 반납하게 된다. 이때 자원에 오류가 발생하면 그 오류로부터 회복될 때까지 할당이 지연되거나, 할당받은 프로세스를 중단하는 사태가 발생한다. 이 논문은 이와 같은 처리 과정을 효과적으로 분석하기 위해, 기존의 프로세스 대수학 ACSR에 확률적 선택연산 개념을 추가한 확률적 ACSR 을 설계하였다. 확률적 ACSR을 이용하여 요구연산과 반환연산이 발생하는 비율과, 오류가 발생하고 그 오류로부터 복구하는 비율을 확률적으로 표기하고 분석할 수 있음을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2282-2303
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• 2021

To solve the problems of heavy computing load and system transmission pressure in energy internet (EI), we establish a three-tier cloud-edge integrated EI network based on a cloud-edge collaborative computing to achieve the tradeoff between energy consumption and the system delay. A joint optimization problem for resource allocation and task offloading in the threetier cloud-edge integrated EI network is formulated to minimize the total system cost under the constraints of the task scheduling binary variables of each sensor node, the maximum uplink transmit power of each sensor node, the limited computation capability of the sensor node and the maximum computation resource of each edge server, which is a Mixed Integer Non-linear Programming (MINLP) problem. To solve the problem, we propose a joint task offloading and resource allocation algorithm (JTOARA), which is decomposed into three subproblems including the uplink transmission power allocation sub-problem, the computation resource allocation sub-problem, and the offloading scheme selection subproblem. Then, the power allocation of each sensor node is achieved by bisection search algorithm, which has a fast convergence. While the computation resource allocation is derived by line optimization method and convex optimization theory. Finally, to achieve the optimal task offloading, we propose a cloud-edge collaborative computation offloading schemes based on game theory and prove the existence of Nash Equilibrium. The simulation results demonstrate that our proposed algorithm can improve output performance as comparing with the conventional algorithms, and its performance is close to the that of the enumerative algorithm.

• 정보처리학회논문지C
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• 제14C권5호
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• pp.453-462
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• 2007

NGN은 QoS가 지원되는 광 대역 전달 망에서 세션 및 비-세션 서비스를 지원하기 위한 패킷 기반의 융합 망이다. NGN의 RACF(Resource and Admission Control Functions)는 전송망의 토폴로지 및 자일 상태 정보곤 수집하기 위하여 COPS와 SNMP를 자원 관리 프로토콜로 고려하고 있다. 본 논문에서는 NGN 전송 층의 토폴로지 및 자원 상태 관리를 위한 요구 사항을 정의하며 자원 제어 프로토콜에서 정의되는 데이터 모델들의 일관성을 유지하기 위해 프로토콜 중립적인 정보 모델을 제안한다. 또한, UML로 기술된 정보 모델을 이용하여 웹 서비스 기반의 NGN 자원 관리 시스템을 선계 및 구현하였다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2001년도 Proceeding of KIN-CIN Joint Symposium 2001 on Satellite Navigation/AIS, lntelligence , Computer Based Marine Simulation System and VDR
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• pp.104-107
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• 2001

Based on the analysis of the functions of ship management company, this paper aims to explore how to build the platform to transmit anti process the information about ships by means of modern information management so as to solve a series of problems caused by blockages in information transmitting in present ship’s management. The paper also talks about the necessity of establishing various resource bases and using different information communicating methods to realize the resource sharing and intellectualization of ship’s business.