• 제목/요약/키워드: Priority Rules

검색결과 126건 처리시간 0.031초

길이에 대한 2차원 이진검색을 이용한 패킷분류 구조 (Packet Classification Using Two-Dimensional Binary Search on Length)

  • 문주형;임혜숙
    • 한국통신학회논문지
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    • 제32권9B호
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    • pp.577-588
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    • 2007
  • 인터넷의 성장은 다양한 응용 프로그램들의 발달을 야기 시켰으며, 그로 인해 모든 패킷을 동일하게 처리하는 현재의 최선지원 서비스 보다 나은 서비스를 제공할 것을 요구하고 있다. 따라서 차세대 인터넷 라우터들은 다양한 레벨의 품질보장 서비스를 제공하여야 한다. 품질보장 서비스를 제공하기 위해서는 모든 입력 패킷을 미리 정의된 룰에 따라 구분하는 패킷 분류가 실시간으로 수행되어야 한다. 패킷분류는 패킷에 포함된 여러 헤더 필드에 대하여 다양한 종류의 검색을 수행하여야 하며, 일치하는 룰들 중에서 가장 높은 우선순위를 갖는 룰을 찾아야 하는 다차원 검색이다. 영역분할을 사용한 사분트라이 구조는 근원지와 목적지 프리픽스를 2차원 트라이 구조로 저장하여 검색을 진행하는 좋은 알고리즘이나, 길이에 대하여 선형검색을 하는 방법이므로 좋은 검색 성능을 보이지 못한다. 본 논문에서는 사분트라이 구조에서 길이에 대하여 이진검색을 진행하는 새로운 패킷분류 알고리즘을 제안한다. 또한 패킷이 여러 개의 룰과 일치하였을 경우 가장 높은 우선순위를 가지는 룰을 선택한다는 특성을 이용하여, 사분트라이를 만드는 과정에서 우선순위를 고려하여 검색 성능을 향상시킬 수 있는 방안을 제안한다.

공간자원 및 다작업원칙을 고려한 트랜스퍼 크레인 운영규칙에 관한 연구 (A Study about the Transfer Crane Operation Rules consider with Space Resource and Multi Job)

  • 김우선;최용석
    • 한국항해항만학회지
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    • 제28권8호
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    • pp.721-726
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    • 2004
  • 본 연구에서는 장치장 운영규칙의 현실성을 높이기 위해서 트랜스퍼 크레인의 작업운영체계를 분석하고 작업우선순위의 적용을 위한 운영규칙의 적용방법을 설명하였다. 또한 장치장에서 주행로의 특성에 따른 트럭의 대기 및 주행로 점거형태를 분석하여 블록에 진입하여 대기할 수 있는 최대 대기차량수를 도출할 수 있는 산정식을 정리하고 공간의 제약상태를 분석하였다. 또한 공간의 제약사항 극복하기 위해서 공간자원을 정의할 수 있는 다작업원칙을 제시하고 그 원칙을 위한 해법과 순서도를 묘사하였다.

생산일정계획 성능향상을 위한 2단계 휴리스틱 방법의 개발 (Development of a Two-Phase Heuristic Method for the Enhancement of a Production Schedule)

  • 홍윤호;김승권;김선욱;이준열
    • 대한산업공학회지
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    • 제20권3호
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    • pp.65-77
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    • 1994
  • There are so many situations in which production schedules need to be rescheduled, due to the uncertainty or dynamic characteristics existing in manufacturing environment. Under the circumstances, it is necessary to build a system which helps a schedule manager understand the dynamic situations and reflect his insight into the system easily. We developed a system that can improve a production schedule. The system consists of a schedule editor and a schedule generator. The schedule editor, a rule-based system, always keeps a schedule feasible by keeping track of local changes in the revised one. The schedule generator consists of a two-phase heuristic method. In the lst phase it generates a schedule by a priority rule with Giffler and Thompson algorithm then it improves the performance in terms of the makespan in the 2nd phase. Experimental results show that, most of the times, the system generates a better schedule than the one with ordinary priority rules only.

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Lyapunov-based Fuzzy Queue Scheduling for Internet Routers

  • Cho, Hyun-Cheol;Fadali, M. Sami;Lee, Jin-Woo;Lee, Young-Jin;Lee, Kwon-Soon
    • International Journal of Control, Automation, and Systems
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    • 제5권3호
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    • pp.317-323
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    • 2007
  • Quality of Service (QoS) in the Internet depends on queuing and sophisticated scheduling in routers. In this paper, we address the issue of managing traffic flows with different priorities. In our reference model, incoming packets are first classified based on their priority, placed into different queues with different capacities, and then multiplexed onto one router link. The fuzzy nature of the information on Internet traffic makes this problem particularly suited to fuzzy methodologies. We propose a new solution that employs a fuzzy inference system to dynamically and efficiently schedule these priority queues. The fuzzy rules are derived to minimize the selected Lyapunov function. Simulation experiments show that the proposed fuzzy scheduling algorithm outperforms the popular Weighted Round Robin (WRR) queue scheduling mechanism.

휴리스틱 탐색기법에 근거한 철도입환진로의 자동결정전략 설계 (Strategies for the Automatic Decision of Railway Shunting Routes Based on the Heuristic Search Method)

  • 고윤석
    • 대한전기학회논문지:시스템및제어부문D
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    • 제52권5호
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    • pp.283-289
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    • 2003
  • This paper proposes an expert system which can determine automatically the shunting routes corresponding to the given shunting works by considering totally the train operating environments in the station. The expert system proposes the multiple shunting routes with priority of selection based on heuristic search strategy. Accordingly, system operator can select a shunting route with the safety and efficiency among the those shunting routes. The expert system consists of a main inference engine and a sub inference engine. The main inference engine determines the shunting routes with selection priority using the segment routes obtained from the sub inference engine. The heuristic rules are extracted from operating knowledges of the veteran route operator and station topology. It is implemented in C computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique. And, the validity of the builted expert system is proved by a test case for the model station.

우선도를 고려한 지역부하 차단에 관한 전문가시스템 (An Expert System on Local Load Shedding with Priority)

  • 윤용한;임성정;한성호;김재철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 A
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    • pp.70-72
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    • 1993
  • This paper presents an expert system that sheds loads considering priority in the localized SCADA power systems during an emergency states. The proposed algorithm uses neural networks to detect local load shedding location and heuristic rules to determine load shedding amounts. The proposed expert system is demonatrated at one of the model system which incorporates two localized SCADA power system. It is operated under workstation.

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Priority-based Scheduling Policy for OpenFlow Control Plane

  • Kasabai, Piyawad;Djemame, Karim;Puangpronpitag, Somnuk
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권2호
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    • pp.733-750
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    • 2019
  • Software Defined Networking (SDN) is a new network paradigm, allowing administrators to manage networks through central controllers by separating control plane from data plane. So, one or more controllers must locate outside switches. However, this separation may cause delay problems between controllers and switches. In this paper, we therefore propose a Priority-based Scheduling policy for OpenFlow (PSO) to reduce the delay of some significant traffic. Our PSO is based on packet prioritization mechanisms in both OpenFlow switches and controllers. In addition, we have prototyped and experimented on PSO using a network simulator (ns-3). From the experimental results, PSO has demonstrated low delay for targeted traffic in the out-of-brand control network. The targeted traffic can acquire forwarding rules with lower delay under network congestion in control links (with normalized load > 0.8), comparing to traditional OpenFlow. Furthermore, PSO is helpful in the in-band control network to prioritize OpenFlow messages over data packets.

항공교통관제규칙과 비행장의 최적규모에 관한 연구 (A Study on the Air Traffic Control Rule and Optimal Capacity of Air Base)

  • 이기현
    • 한국국방경영분석학회지
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    • 제2권1호
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    • pp.177-184
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    • 1976
  • As the organizational size of a military service or business increases and its management becomes complex, the success in its management depends less on static type of management but more on careful, dynamic type of management. In this thesis, an operations research technique is applied to the problems of determining optimal air traffic control rule and of optimal capacity of air base for a military air base. An airport runway is regarded as the service facility in a queueing mechanism, used by landing, low approach, and departing aircraft. The usual order of service gives priority different classes of aircraft such as landings, departures, and low approaches; here service disciplines are considered assigning priorities to different classes of aricraft grouped according to required runway time. Several such priority rules are compared by means of a steady-state queueing model with non-preemptive priorities. From the survey conducted for the thesis development, it was found that the flight pattern such as departure, law approach, and landing within a control zone, follows a Poisson distribution and the service time follows an Erlang distribution. In the problem of choosing the optimal air traffic control rule, the control rule of giving service priority to the aircraft with a minimum average waiting cost, regardless of flight patterns, was found to be the optimal one. Through a simulation with data collected at K-O O Air Base, the optimal take-off interval and the optimal capacity of aircraft to be employed were determined.

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An Enhanced Investment Priority Decision of Facilities Considering Reliability of Distribution Networks

  • Choi Jung-Hwan;Park Chang-Ho;Kim Kwang-Ho;Jang Sung-Il
    • KIEE International Transactions on Power Engineering
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    • 제5A권3호
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    • pp.260-268
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    • 2005
  • This paper proposes an improved investment pnonty decision method of facilities considering the reliability of distribution networks. The proposed method decides an investment order of the facilities combining, by fuzzy rules, the investment priority decision by KEPCO and that by reliability evaluation indices. The reliability evaluation indices are SAIFI (System Average Interruption Frequency Index) and SAIDI (System Average Interruption Duration Index). The reliability analysis method of distribution networks applied in this paper utilizes the analytic method, where the used reliability data is the historical data of KEPCO. Particularly, we assumed that the failure rate increases as the equipment ages. To verify the performance of the proposed method, we applied it with the planned projects to reinforce the weak electrical facilities in KEPCO in 2004. The evaluation result showed that, under a limited budget, the reliability of KEPCO in the Busan region using the proposed method could be enhanced if used rather than the conventional method typically in place. Therefore, the results verify that the proposed method can be efficiently used in the actual priorities method for investing in the electrical facilities.

공장자동화용 토큰버스 네트워크의 퍼지 성능관리기 개발 (Development of Fuzzy Network Performance Manager for Token Bus Networks in Automated Factories)

  • 이상호;손준우;이석
    • 대한기계학회논문집A
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    • 제20권8호
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    • pp.2436-2448
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    • 1996
  • This paper presents the development of three types of network performance manager for IEEE 802.4 token bus networks that are a part of Manufacturing Automation Protocol(MAP). The performance managers attempt to keep the average data latency below a certain level specified for each priority class. All of the three performance managers are based on a set of fuzzy rules incorporating the knowledge on the relationship between data latency and parameters of the priority mechanism. These Fuzzy Network Performance Managers(FNPMs) have been evaluated via discrete event simulation to demonstrate their efficacy.