• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.6
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• pp.148-161
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• 2016

In the case of the government, which plays a pivotal role in the landscape architecture system, the management of positions in landscape architectural organizations is lacking. At the local government level, while public officials for managing landscape architecture are being hired, there are problems and vulnerabilities in both management and system operations as such public officials recruited for positions in landscape architectural services operate under the forestry service. Accordingly, this study analyzed the Korean administrative system of public officials in the landscape architectural service and their satisfaction with the organizational culture and behavior. The aim was to provide practical data for improving the job satisfaction of public officials in landscape architectural service and enhance the status of landscape architecture. First, a survey was conducted regarding current organizational culture/behavior and job adequacy, and differences when compared to different job series with regards to the public officials in the landscape architectural service. The results indicated that job satisfaction of those in landscape architectural service was generally high, but they showed strong centralization, i.e., orders from superiors and limitations on autonomy. Second, an analysis was conducted to improve the organizational culture/behavior and job satisfaction of public officials in the landscape architectural service, and a comparative analysis was conducted on the differences between the analysis result and preceding studies by the Ministry of Government Administration and Home Affairs(2006). The results indicated that organizational commitment/satisfaction of public officials in the landscape architectural service was relatively low among those who had a great amount of work experience related to forestry. Therefore, it was shown that it is necessary to ensure expertise in landscape architecture. Third, a comprehensive analysis was conducted regarding the influences on "working environment", "legal system" and "job allocation" in regard to public officials in land architectural service. The results indicated that satisfaction in the value system was high when given significance to the job as public officials in land architectural. However, their satisfaction in the land architectural system was low due to the lack of independence in their positions, the vulnerable legal system of land architectural service and low employment rates. Fourth, current public officials in landscape architectural service process tasks such as forestry, architecture, city planning and administration that are not related to their area of expertise. Therefore, an analysis was conducted on whether there is a difference in the job satisfaction of public officials in landscape architectural service according to statistical variables. It was identified that "legal system", "job satisfaction" and "organizational commitment" with regard to public officials in landscape architectural service can be improved through ensuring their expertise. This study suggests the following tasks to further inquire into landscape architecture in general. First, establish an identity of work allocation for public officials in the landscape architectural service, and second, establish an organizational constitution according to the positions in landscape architectural service. Accordingly, it is necessary for interested parties of landscape architecture to devise practical strategies so that such tasks can be converged administratively and reflected in policies.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.9-15
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• 2013

As the resources of cloud computing are essentially heterogeneous and jobs have various characteristics, resource allocation to jobs is one of important problems. We define this issue as a multi-criteria decision-making problem. This paper proposes a priority-based job scheduling algorithm based on analytic hierarchy process (AHP). On the first step, jobs are classified based on their preferences. On the second step, response time, system utilization, and load becomes decision criteria based on the AHP algorithm. Jobs are allocated to adequate resources through their priorities that are calculated by the AHP algorithm. Through analysis and experiment of the proposed algorithm, we are to confirm that the scheme can schedule jobs as well as utilize its resource efficiently.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.220-223
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• 2011

For successfully commercialized grid systems, it is required to provide an efficient scheduling scheme which is able to optimize benefits for three participants such as consumers, brokers, and providers so that every participant has sufficient benefit to maintain a sustainable market. In this paper, we define this job scheduling problem as an objective optimization problem for three participants. The three objectives are to maximize the success rate of job execution, total achieved profit, and the system utilization. To address the scheduling problem, we propose heuristics referred to as SLA-aware scheduling scheme (SA) for optimal resource allocation. The simulation results show that the improvement and the effectiveness of the proposed scheme and the proposed scheme can outperform well-known scheduling schemes such as first come first serve (FCFS), shortest job first (SJF), and earliest deadline first (EDF).

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.137-148
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• 2012

Cloud service users request dedicated virtual computing resource from the cloud service provider to process jobs in independent environment from other users. To optimize this process with automated method, in this paper we proposed a framework for workflow scheduling in the cloud environment, in which the core component is the middleware called broker mediating the interaction between users and cloud service providers. To process jobs in on-demand and virtualized resources from cloud service providers, many papers propose scheduling algorithms that allocate jobs to virtual machines which are dedicated to one machine one job. With this method, the isolation of being processed jobs is guaranteed, but we can't use each resource to its fullest computing capacity with high efficiency in resource utilization. This paper therefore proposed a cost-efficient job scheduling algorithm which maximizes the utilization of managed resources with increasing the degree of multiprogramming to reduce the number of needed virtual machines; consequently we can save the cost for processing requests. We also consider the performance degradation in proposed scheme with thrashing and context switching. By evaluating the experimental results, we have shown that the proposed scheme has better cost-performance feature compared to an existing scheme.

• Journal of the Korean Society for Railway
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• v.13 no.5
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• pp.535-540
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• 2010

We present an optimization model for how to assign the freight trains to transshipment tracks and allocate the containers to the freight trains in a rail container terminal. We formulate this problem as a multi-criteria integer programming to minimize the makespan of job schedule and simultaneously to maximize the loading throughput, i.e. the number of containers to be disposed per day. We also apply our model to the instance obtained from the real-world data of the Uiwang Inner Container Depot. From the experiments, we can see an improvement of approximately 6% in makespan, which means that our model can contribute to the improvement of the disposal capacity of containers without additional expansion of facilities.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.69-75
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• 2006

Internet-based distributed computing environment have been developed for advanced science and engineering by sharing large-scale resources. Therefore efficient scheduling algorithms for allocating user job to resources in the Internet-based distributed computing environment are required. Many scheduling algorithms have been proposed. but these algorithms are not suitable for the Internet-based Distributed computing environment. That is the previous scheduling algorithm does not consider peer self-control. In this paper, we propose a Peer Availability Period Prediction Strategy for Internet-based distributed computing environment and show that our Strategy has better performance than other Strategy through extensive simulation.

• Culinary science and hospitality research
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• v.15 no.2
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• pp.31-44
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• 2009

Hospitality industry offers internship programs to the students who have studied hospitality related majors in a college, giving them opportunities to improve their executive ability through academic knowledge. However, it has been found that there are several issues against the purposes such as unconcern, work burden, inadequate reward, and discontent. In this respect, this study aims to suggest the advisable solutions to achieve the original purposes of an internship program by examining the effects of the perception of the internship program, anticipation for it, satisfaction with it, and job pursuit intentions after finishing it. Positive factors for the perception of internship training are businesses, allocation of departments, working environments, students abilities, and academical knowledge while its term and reward from it are not the influential factors. The positive perception of the internship training is influenced by affirmative importance-performance thinking, but positive job pursuit intentions is not affected by affirmative perception of the training.

• Journal of KIISE
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• v.44 no.3
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• pp.223-231
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• 2017

In this paper, we study the performance of recently popular multi-core systems in mobiles. Previous research on the multi-core performance usually focused on the desktop PC. However, there is enough scope to further analyze heterogeneous multi-core systems. Therefore, by extending homogeneous multi-core systems, we analyze the heterogeneous multi-core systems using Size Interval Task Allocation (SITA) for job allocation, and Shortest Remaining Processing Time (SRPT) scheduling, for each individual core. We propose a new computational method regarding the cutoff point, which is crucial in analyzing SITA, by calculating the sojourn time. This facilitate easy and accurate calculation of the sojourn time. We further confirm our analysis through the ESESC simulator that provides actual measurements.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.3
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• pp.264-276
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• 2000

Recent advances of technologies make easy sharing various information and utilizing system resources on the Internet. Especially, code migration using applets of Java supports the distribution of programs on the web environment, and also browsers executing the applets guarantee the reliability of a migrated codes. In this paper, we describe the design and implementation of a web-based parallel processing system, which distributes migratable codes of a large job, makes the distributed codes to execute in parallel, and controls and gathers the results of each execution. The hosts participate in the computation reside on the Internet, spreaded out geographically, and the heterogeneity and the variability among them are severe. Thus, task allocation considering the performance differences and the adaptability to the severe variability are necessary. We present an adaptive task allocation algorithm applied to our system and the performance evaluation.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.308-317
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• 2020

The purpose of this study is to investigate the effect of differences between job expectations and satisfaction on overall employee satisfaction. A survey was conducted on administrative staff at S University in Seoul for 8 days from December 17, 2018 to December 24, 2018. First, the difference between job expectation and job satisfaction, a significant negative difference occurred for all 15 measurement variables. Second, the factors of work cost and personnel system were found to have a significant negative effect on employee satisfaction. If the expected discrepancy between work cost and personnel system increases by 1, employee satisfaction decreases by 0.35 and 0.24, respectively. Third, among the sub-categories of work cost and personnel system, department allocation and division of duties, proper compensation payment, rationality of compensation decision process, and good welfare system were found to have a significant correlation. By analyzing the significant correlation between expected discrepancies and employee satisfaction, focusing on items that can increase employee satisfaction while lowering the financial burden, narrowing the expected discrepancy of staff increases employee satisfaction and improves the quality of education services.