• Title/Summary/Keyword: Information Resource Sharing

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A scheduling algorithm for conditonal resources sharing consideration (조건부 자원 공유를 고려한 스케쥴링 알고리즘)

  • 인지호;정정화
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.2
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    • pp.196-204
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    • 1996
  • This paper presents a new scheduling algorithm, which is the most improtant subtask in the high level synthesis. The proposed algorithm performs scheduling in consideration of resource sharing concept based on characteristics of conditionsla bransches in the intermediate data structure. CDFG (control data flow graph) generated by a VHDL analyzer. This algorithm constructs a conditon graph based on time frame of each operation using both the ASAP and the ALAP scheduling algorithm. The conditon priority is obtained from the condition graph constructed from each conditional brance. The determined condition priority implies the sequential order of transforming the CDFG with conditonal branches into the CDFG without conditional branches. To minimize resource cost, the CDFG with conditional branches are transformed into the CDFG without conditonal brancehs according to the condition priority. Considering the data dependency, the hardware constraints, and the data execution time constraints, each operation in the transformed CDFG is assigned ot control steps. Such assigning of unscheduled operations into contorl steps implies the performance of the scheduling in the consecutive movement of operations. The effectiveness of this algorithm is hsown by the experiment for the benchmark circuits.

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Fast Generation of Multiple Custom Instructions under Area Constraints

  • Wu, Di;Lee, Im-Yong;Ahn, Jun-Whan;Choi, Ki-Young
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.11 no.1
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    • pp.51-58
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    • 2011
  • Extensible processors provide an efficient mechanism to boost the performance of the whole system without losing much flexibility. However, due to the intense demand of low cost and power consumption, customizing an embedded system has been more difficult than ever. In this paper, we present a framework for custom instruction generation considering both area constraints and resource sharing. We also present how we can speed up the process through pruning and library-based design space exploration.

Function Organization of nD CAD System for Plant Project by Linking Cost and Resource Information (비용과 자원을 연계한 플랜트공사 nD CAD 시스템 기능 구성 방안)

  • Kang, Leen-Seok;Ji, Sang-Bok;Moon, Hyoun-Seok;An, Jae-Kyu
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.809-812
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    • 2007
  • This study suggests a methodology for organizing functions of nD CAD model which 4D object is linked with cost and resource information. And the suggested model is composed of process analysis function of plant project based on visualized scenario analysis. That is, it is possible to manage effectively not only construction schedule plan, but also resource and cost information by integrating construction management information into nD CAD object. And the suggested model can be utilized as information of a effective decision-making tool through analyzing of optimal process scenario and sharing of an analyzed information.

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An Inference Verification Tool based on a Context Information Ontology (상황 정보 온톨로지 기반 추론 검증 도구)

  • Kim, Mok-Ryun;Park, Young-Ho
    • Journal of KIISE:Computer Systems and Theory
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    • v.36 no.6
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    • pp.488-501
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    • 2009
  • In ubiquitous environments, invisible devices and software are connected to one another to provide convenient services to users. In order to provide such services, we must have mobile devices that connect users and services. But such services are usually limited to those served on a single mobile device. To resolve the resource limitation problem of mobile devices, a nearby resource sharing research has been studied. Also, not only the nearby resource share but also a resource recommendation through context-based resource reasoning has been studied such as an UMO Project. The UMO Project share and manage the various context information for the personalization resource recommendation and reason based on current context information. Also, should verify resource inference rules for reliable the resource recommendation. But, to create various context information requires huge cost and time in actuality. Thus, we propose a inference verification tool called USim to resolve problem. The proposed inference verification tool provides convenient graphic user interfaces and it easily creates context information. The USim exactly verifies new inference rules through dynamic changes of context information.

Modelling and Analysis for Sharing of Full Electric Vehicles in Small-sized Cities (소규모 도시를 위한 전전기 자동차 세어링 서비스 시스템 모델링 및 분석 연구)

  • Jin, Young-Goun;Cho, Hyun-Seob
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.4
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    • pp.1857-1862
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    • 2012
  • It is very difficult to construct and manager public transit, like subway, in small city. In this paper, we suggest full electric vehicle sharing service framework as a public transit system in small city. The suggested system will reduce environment pollution and increase resource usage efficiency. The simulation result shows that the suggested electric vehicle sharing system can reduce traffic congestion and lower city road stress.

Comparative Analysis of Policies to Vitalize Spectrum Sharing Ecosystem using System Dynamics (시스템 다이내믹스를 이용한 주파수 공유 생태계 활성화 정책대안 비교 분석 연구)

  • Song, Hee Seok;Kim, Jae Kyung;Kim, Taehan
    • Journal of Information Technology Applications and Management
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    • v.21 no.4_spc
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    • pp.431-447
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    • 2014
  • Demand of spectrum resource is tremendously increasing and this trend will continue as more IT services such as cloud computing, smart devices, Internet of Things are provided through wireless network. Recent development of spectrum sharing technology has drawn attention to spectrum policy makers as a promising way to overcome the expected spectrum shortage problem. However, technology-based solution to spectrum shortage problem may not be sustainable since the solution affect only one aspect of spectrum sharing ecosystem. To understand the whole picture of spectrum shortage problem, policies to vitalize spectrum sharing ecosystem were proposed based on the analysis of System Dynamics causal map in the previous study. This study compares and analyzes the effect of those proposed vitalization policies by using System Dynamics simulation. Among seven alternative policies, combined application of demand acceleration policy and technology development policy was found to be more effective for better utilization of spectrum. The effect of demand acceleration policy was offset when other policies are applied together except supply acceleration policy which shows better spectrum sharing.

The Data Sharing Economy and Open Governance of Big Data as Public Good

  • LEE, Jung Wan
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.87-96
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    • 2021
  • Data-driven markets depend on access to data as a resource for products and services. Since the quality of information that can be drawn from data increases with the available amount and quality of the data, businesses involved in the data economy have a great interest in accessing data from other market players and sharing data with other stakeholders. Despite the growing need for access to data and evidence of the economic and social benefits, data access and sharing remains below its potential. Individuals, businesses, and governments often face barriers to data access, which may be compounded by the reluctance to share, including within and across sectors. To address these challenges, this paper focuses on finding possible solutions for a better data-sharing economy. This paper 1) Discusses opportunities and challenges of open data and the data-sharing economy, limitations of private sector data, and issues with open government data. 2) Introduces open government data initiatives and open governance networks initiatives. 3) Suggests possible solutions, including the governance and management, the legal and policy frameworks, and the technical standards for open data with proposing an open data governance model for the data-sharing economy.

Ontology Mapping and Rule-Based Inference for Learning Resource Integration

  • Jetinai, Kotchakorn;Arch-int, Ngamnij;Arch-int, Somjit
    • Journal of information and communication convergence engineering
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    • v.14 no.2
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    • pp.97-105
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    • 2016
  • With the increasing demand for interoperability among existing learning resource systems in order to enable the sharing of learning resources, such resources need to be annotated with ontologies that use different metadata standards. These different ontologies must be reconciled through ontology mediation, so as to cope with information heterogeneity problems, such as semantic and structural conflicts. In this paper, we propose an ontology-mapping technique using Semantic Web Rule Language (SWRL) to generate semantic mapping rules that integrate learning resources from different systems and that cope with semantic and structural conflicts. Reasoning rules are defined to support a semantic search for heterogeneous learning resources, which are deduced by rule-based inference. Experimental results demonstrate that the proposed approach enables the integration of learning resources originating from multiple sources and helps users to search across heterogeneous learning resource systems.

GPU Resource Contention Management Technique for Simultaneous GPU Tasks in the Container Environments with Share the GPU (GPU를 공유하는 컨테이너 환경에서 GPU 작업의 동시 실행을 위한 GPU 자원 경쟁 관리기법)

  • Kang, Jihun
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.10
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    • pp.333-344
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    • 2022
  • In a container-based cloud environment, multiple containers can share a graphical processing unit (GPU), and GPU sharing can minimize idle time of GPU resources and improve resource utilization. However, in a cloud environment, GPUs, unlike CPU or memory, cannot logically multiplex computing resources to provide users with some of the resources in an isolated form. In addition, containers occupy GPU resources only when performing GPU operations, and resource usage is also unknown because the timing or size of each container's GPU operations is not known in advance. Containers unrestricted use of GPU resources at any given point in time makes managing resource contention very difficult owing to where multiple containers run GPU tasks simultaneously, and GPU tasks are handled in black box form inside the GPU. In this paper, we propose a container management technique to prevent performance degradation caused by resource competition when multiple containers execute GPU tasks simultaneously. Also, this paper demonstrates the efficiency of container management techniques that analyze and propose the problem of degradation due to resource competition when multiple containers execute GPU tasks simultaneously through experiments.

A Study on Resource Sharing in Korean Special Libraries (전문도서관의 정보자원 공동활용에 관한 연구)

  • Shin, Eun-Ja;Oh, Kyung-Mook
    • Journal of Information Management
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    • v.32 no.3_4
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    • pp.56-72
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    • 2001
  • Special libraries have purchased materials in only one or two specific subject areas which their mother institutions are concerned. Therefore, special libraries need to develop a well-defined collection development policy for themselves. Special libraries purchase items that are frequently used by their users, and provide access to low-use titles through document delivery services. It is a reasonable solution that the library should Join the cooperative special libraries' association which provides document delivery services in Korea. It is because special libraries' association has achieved document delivery service successfully, when compared with the general(non-special) libraries association. It is expected that special libraries' association can do cooperative acquisition better than other groups.

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