• 한국도서관정보학회지
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• 제13권
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• pp.113-130
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• 1986

The rapidly growing at which information is produced and used in our complex society has presented us with major problems in information transfer. Resource sharing is almost universally accepted by librarians as the only realistic means for meeting future demands and no doubt the future will see continued growth in computer-based library networks for resource sharing. The resort to networking by many library and information institutions may be symptomatic of the difficulties they face in dealing with their rapidly changing environment. In this article, the library network is examined in relationship to resource sharing. Included is a discussion of the definitions of library network and other related terms, the main factors in the emergence of library network concept, the history of the concept of library networks, resource sharing through the library networks, the problems by which the development of networks is confronted, and prospects.

• 정보관리학회지
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• 제25권2호
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• pp.5-24
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• 2008

대학도서관에서의 자원공유가 활발해지고 고도화됨에 따라 이 업무를 담당하는 사서들이 자원공유에 대한 인식을 이해할 필요가 있다. 본 연구는 설문지에 기반한 연구방법을 사용하여 78명의 대학도서관 사서들로부터 상호대차, 원문복사, 종합목록구축, 분담수서, 그리고 인적교류와 관련된 인식과 평가에 관한 자료를 수집하였다. 설문결과는 사서들이 이미 잘 구축된 자원공유(상호대차, 원문복사, 종합목록구축)에 대해 그렇지 않은 형태의 자원공유 (분담수서, 인적교류) 보다 더 긍정적으로 평가하는 것으로 나타났다. 서서들의 자원공유에 대한 인식과 도서관/개인 특성과의 상관분석이 수행되었고, 다섯 개 영역의 자원공유 각각에 대한 장애요인 또한 도출되었다.

• Journal of Information Processing Systems
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• 제17권6호
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• pp.1157-1169
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• 2021

Modern graphics processor unit (GPU) architectures offer significant hardware resource enhancements for parallel computing. However, without software optimization, GPUs continuously exhibit hardware resource underutilization. In this paper, we indicate the need to alter different warp scheduler schemes during different kernel execution periods to improve resource utilization. Existing warp schedulers cannot be aware of the kernel progress to provide an effective scheduling policy. In addition, we identified the potential for improving resource utilization for multiple-warp-scheduler GPUs by sharing stalling warps with selected warp schedulers. To address the efficiency issue of the present GPU, we coordinated the kernel-aware warp scheduler and warp sharing mechanism (KAWS). The proposed warp scheduler acknowledges the execution progress of the running kernel to adapt to a more effective scheduling policy when the kernel progress attains a point of resource underutilization. Meanwhile, the warp-sharing mechanism distributes stalling warps to different warp schedulers wherein the execution pipeline unit is ready. Our design achieves performance that is on an average higher than that of the traditional warp scheduler by 7.97% and employs marginal additional hardware overhead.

• 정보관리학회지
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• 제29권3호
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• pp.7-29
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• 2012

인적자원관리와 지식공유는 조직의 성과향상을 위해 필수적인 전략으로서 매우 중요한 연구주제임에도 불구하고 이들 개념간의 연계고리를 밝히고자 하는 연구는 매우 적었다. 본 연구에서는 지방정부를 대상으로, 인적자원관리와 지식공유 그리고 조직내부성과간의 관계를 분석하였다. 분석결과 인적자원관리는 지식공유에 긍정적인 영향을 미치며, 지식공유는 인적자원관리를 부분적으로 매개하여 조직의 내부성과에 영향을 미치는 것을 알 수 있었다. 이러한 연구결과를 토대로 정책적 시사점을 제시하였다.

• Journal of Computing Science and Engineering
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• 제6권4호
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• pp.287-293
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• 2012

We introduce a methodology for the study of the application-level performance of time-sharing parallel jobs on a set of compute nodes in high performance clusters and report our findings. We assume that parallel jobs arriving at a cluster need to share a set of nodes with the jobs of other users, in that they must compete for processor time in a time-sharing manner and other limited resources such as memory and I/O in a space-sharing manner. Under the assumption, we developed a methodology to simulate job arrivals to a set of compute nodes, and gather and process performance data to calculate the percentage slowdown of parallel jobs. Our goal through this study is to identify a better combination of jobs that minimize performance degradations due to resource sharing and contention. Through our experiments, we found a couple of interesting behaviors for overlapped parallel jobs, which may be used to suggest alternative job allocation schemes aiming to reduce slowdowns that will inevitably result due to resource sharing on a high performance computing cluster. We suggest three job allocation strategies based on our empirical results and propose further studies of the results using a supercomputing facility at the San Diego Supercomputing Center.

• 가족자원경영과 정책
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• 제15권2호
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• pp.103-128
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• 2011

The purpose of this study is to analyze the family sharing time of housework and to examine the sharing time with family is influenced by socio-demographic variables. The Time Use Survey data collected by Korean National Statistical Office in 2009 is used. Among the total sample of 21,000 individuals, 9,179 samples who are married, aged from 20 to 59 years old and non-farmers are selected for analysis. The statistical methods are frequency, percentage, crosstabulation, t-test, and regression analysis. The following is a summary of the major findings. First, comparison of men and women shows women spend more time on housework than men do. But sharing housework time with family for men increase on Sunday. Performer average is almost same in men and women. Secondly, the family sharing time on housework is longer on Sunday. It is due to increase of men's family sharing time. It means that men's time substitute for women's housework. Thirdly, the influencing factors on family sharing housework are gender, age, education, presence of spouses, monthly income, dual earner status, weekly working hours, gender role atittude and presence of preschoolers. Family sharing housework is not only household labor but also family pleasure time. It means family policy should focus on making family time for workers fundamentally. And family policy needs to make a system of educational program for work-family balance.

• Journal of Information Technology Applications and Management
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• 제20권4호
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• pp.19-31
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• 2013

There is tremendous increasing demand on spectrum resource which is boosted by spread of cloud computing and M2M telecommunication as well as smart phone and tablet PC. Recently, spectrum sharing technology has drawn attention to the spectrum policy makers as a promising way to overcome limitation of scarce spectrum resource. To succeed in commercialization of spectrum sharing technology, it is necessary to prospect the future business ecosystem of spectrum sharing and develop appropriate policies and laws at the same time along with the advance of spectrum sharing technology. The purpose of this paper is to prospect future spectrum sharing ecosystem and analyze business ecosystem of spectrum sharing with casual loop map. With the causal map and system dynamics method, it is possible to analyze feedback loops which is not limited to linear thinking and build policies which optimize positive dynamics in business ecosystem of spectrum sharing.

• 한국국방경영분석학회지
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• 제2권1호
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• pp.51-58
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• 1976

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.3172-3193
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• 2022

Cognitive radio-simultaneous wireless information and power transfer (CR-SWIPT) has attracted much interest since it can improve both the spectrum and energy efficiency of wireless networks. This paper focuses on the resource sharing between a point-to-point primary system (PRS) and a multiuser multi-antenna cellular cognitive radio system (CRS) containing a large number of cognitive users (CUs). The resource sharing optimization problem is formulated by jointly scheduling CUs and adjusting the transmit power at the cognitive base station (CBS). The effect of accessing CUs' spatial channel correlation on the possible transmit power of the CBS is investigated. Accordingly, we provide a low-complexity suboptimal approach termed the semi-correlated semi-orthogonal user selection (SC-SOUS) algorithm to enhance the spectrum efficiency. In the proposed algorithm, CUs that are highly correlated to the information decoding primary receiver (IPR) and mutually near orthogonal are selected for simultaneous transmission to reduce the interference to the IPR and increase the sum rate of the CRS. We further develop a spatial correlation-based resource sharing (SC-RS) strategy to improve energy sharing performance. CUs nearly orthogonal to the energy harvesting primary receiver (EPR) are chosen as candidates for user selection. Therefore, the EPR can harvest more energy from the CBS so that the energy utilization of the network can improve. Besides, zero-forcing precoding and power control are adopted to eliminate interference within the CRS and meet the transmit power constraints. Simulation results and analysis show that, compared with the existing CU selection methods, the proposed low-complex strategy can enhance both the achievable sum rate of the CRS and the energy sharing capability of the network.

• ETRI Journal
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• 제32권2호
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• pp.292-301
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• 2010

Increasing convergence among heterogeneous radio networks is expected to be a key feature of future ubiquitous services. The convergence of radio networks in combination with dynamic spectrum allocation (DSA) could be a beneficial means to solve the growing demand for radio spectrum. DSA might enhance the spectrum utilization of involved radio networks to comply with user requirements for high-quality multimedia services. This paper proposes a simple spectrum allocation algorithm and presents an analytical model of dynamic spectrum resource allocation between two networks using a 4-D Markov chain. We argue that there may exist a break-even point for choosing whether or not to adopt DSA in a system. We point out certain circumstances where DSA is not a viable alternative. We also discuss the performance of DSA against the degree of resource sharing using the proposed analytical model and simulations. The presented analytical model is not restricted to DSA, and can be applied to a general resource sharing study.