• 대한전기학회논문지:시스템및제어부문D
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• 제53권7호
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• pp.501-508
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• 2004

In this paper, a coordinated scheduling algorithm is proposed to reduce end-to-end delay in distributed control of systems. For the algorithm, the analysis of practical end-to-end delay in the worst case is performed priory with considering implementation of the systems. The end-to-end delay is composed of the delay caused by multi-task scheduling of operating systems, the delay caused by network communications, and the delay caused by asynchronous timing between operating systems and network communications. Through some simulation tests based on CAN(Controller Area Network), the proposed worst case end-to-end delay analysis is validated. Through the simulation tests, it is also shown that a real-time distributed control system designed to existing worst case delay cannot guarantee end-to-end time constraints. With the analysis, a coordinated scheduling algorithm is proposed here. The coordinated scheduling algorithm is focused on the reduction of the delay caused by asynchronous timing between operating systems and network communications. Online deadline assignment strategy is proposed for the scheduling. The performance enhancement of the distributed control systems by the scheduling algorithm is shown through simulation tests.

• 한국정보과학회논문지:시스템및이론
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• 제31권1_2호
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• pp.95-101
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• 2004

이질적인 계산자원들로 구성된 분산 컴퓨팅 환경에서 의존성이 존재하지 않는 독립적인 작업들을 자원들에 배치하기 위한 방법은 NP-Complete 문제로 알려져 있다［1］. 이질적인 자원으로 구성된 시스템의 대표적인 예가 GRID［2］이다. 현재까지 그리드 시스템에서 스케줄링 문제를 풀기 위한 다양한 휴리스틱 스케줄링 방법이 연구되어 왔다［1,3,4,5］. 스케줄링 방법은 정적인 방법과 동적인 방법으로 나뉘어진다. 동적 스케줄링 방법은 작업의 선후 관계를 예측할 수 없는 상황에서 사용되며 동적 스케줄링 방법은 스케줄링 시기에 따라 온라인방식과 배치방식으로 나뉘어진다［1,6］. 본 논문에서는 새로운 온라인 휴리스틱 스케줄링 알고리즘을 제안하였으며 제안된 스케줄링 알고리즘의 성능이 기존의 스케줄링 알고리즘의 성능보다 뛰어남을 시뮬레이션을 통하여 보였다.

• Journal of Multimedia Information System
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• 제2권1호
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• pp.143-152
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• 2015

Multimedia services in the cloud have become a popular trend in the big data environment. However, how to efficiently schedule a large number of multimedia services in the cloud is still an open and challengeable problem. Current cloud-based scheduling algorithms exist the following problems: 1) the content of the multimedia is ignored, and 2) the cloud platform is a known parameter, which makes current solutions are difficult to utilize practically. To resolve the above issues completely, in this work, we propose a novel distributed multimedia scheduling to satisfy the objectives: 1) Develop a general cloud-based multimedia scheduling model which is able to apply to different multimedia applications and service platforms; 2) Design a distributed scheduling algorithm in which each user makes a decision based on its local information without knowing the others' information; 3) The computational complexity of the proposed scheduling algorithm is low and it is asymptotically optimal in any case. Numerous simulations have demonstrated that the proposed scheduling can work well in all the cloud service environments.

• 디지털산업정보학회논문지
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• 제4권1호
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• pp.33-40
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• 2008

This paper presents a new scheduling scheme in wireless distributed network. To overcome the limited information about unfamiliar mobile nodes and to reduce the required system performance, we propose a scheduling algorithm of job allocation based on the trust model. The suggested scheduler evaluate an unfamiliar mobile node's trust and make reference to the trust value of neighboring scheduler. This scheduling algorithm can avoid malicious or selfish mobile nodes by assigning low trust values. We also present a trust evaluation metric and show the efficiency of suggested scheduling algorithm by performance evaluation.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.747-752
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• 2004

Researches about scheduling of the distributed real-time systems have been proposed. However, they have some weak points, not scheduling both sporadic and periodic tasks and messages or being unable to guaranteeing the end-to-end constraints due to omitting precedence relations between sporadic tasks. So this paper proposes a new scheduling method for distributed real-time systems consisting of sporadic and periodic tasks with precedence relations and sporadic and periodic messages, guaranteeing end-to-end constraints. The proposed method is based on a binary search-based period assignment algorithm, an end-to-end laxity-based priority assignment algorithm, and three kinds of schedulability analysis, node, network, and end-to-end schedulability analysis. In addition, this paper describes the application model of sporadic tasks with precedence constraints in a distributed real-time system, shows that existing scheduling methods such as Rate Monotonic (RM) scheduling are not proper to be applied to the system having sporadic tasks with precedence constraints, and proposes an end-to-end laxity-based priority assignment algorithm.

• 제어로봇시스템학회논문지
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• 제11권2호
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• pp.175-185
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• 2005

The scheduling methods of the distributed real-time systems have been proposed. However, they have some weak points. They did not schedule both sporadic and periodic tasks and messages at the same time or did not consider the end-to-end constraints such as precedence relations between sporadic tasks. This means that system scheduling must guarantee the constraints of practical systems and be applicable to them. This paper proposes a new scheduling method that can be applied to more practical model of distributed real-time systems. System model consists of sporadic and periodic tasks with precedence relations and sporadic and periodic messages and has end-to-end constraints. The proposed method is based on a binary search-based period assignment algorithm, an end-to-end laxity-based priority assignment algorithm, and three kinds of schedulability analysis, node, network, and end-to-end schedulability analysis. In addition, this paper describes the application model of sporadic tasks with precedence constraints in a distributed real-time system, shows that existing scheduling methods such as Rate Monotonic scheduling are not proper to be applied to the system having sporadic tasks with precedence constraints, and proposes an end-to-end laxity-based priority assignment algorithm.

• 대한산업공학회지
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• 제38권1호
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• pp.31-40
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• 2012

Distributed arrival time control (DATC) is a distributed feedback control algorithm for real-time scheduling problems in dynamic operational environment. Even though DATC has provided excellent performance for dynamic scheduling problems, it can be improved by considering the following considerations. First, the original DATC heavily depends on the quality of initial solution. In this paper, well-known dispatching rules are incorporated DATC algorithm to enhance its performance. Second, DATC improves its solution with adjusting virtual arrival times of jobs to be scheduled in proportion to the gap between completion time and due date iteratively. Since this approach assigns the same weight to all gaps generated with iterations, it fails to utilize significantly more the latest information (gap) than the previous ones. To overcome this issue we consider exponential smoothing which enable to assign different weight to different gaps. Using these two consideration This paper proposes A-DATC (Advanced-DATC). We demonstrate the effectiveness of the proposed scheduling algorithm through computational results.

• 전자공학회논문지CI
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• 제47권1호
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• pp.135-145
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• 2010

분산 이기종 컴퓨팅 시스템(Distributed Heterogeneous Computing System, DHCS)에서 방향성 비순환 그래프(Directed Acyclic Graph, DAG)의 효율적인 스케줄링은 시스템의 높은 성능을 만드는데 매우 중요한 역할을 한다. 본 논문은 DHCS에서 고성능의 새로운 스케줄링 알고리즘인 LCFT(Levelized Critical First Task)을 제안한다. LCFT 알고리즘은 DHCS에서 스케줄링을 위해 효율적인 태스크 선택 방법을 이용하는 리스트 스케줄링 기반의 알고리즘이다. LCFT 알고리즘의 복잡도는 $O(\upsilon+e)(p+log\;\upsilon)$을 갖는다. LCFT의 성능 비교를 위해 다양한 DAG 그래프를 이용하여 기존의 알고리즘인 PETS, HPS, HCPT, GCA와 스케줄링의 길이와 속도를 실험하였으며 실험 결과 LCFT 알고리즘이 다른 알고리즘 보다 성능 향상이 있는 것을 확인할 수 있었다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(D)
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• pp.232-233
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• 2011

We propose a randomized distributed scheduling algorithm which can achieve the optimal throughput under the general interference model. The proposed algorithm is analyzed to show an attractive performance in that it can return a maximal schedule with high probability and has a low time-complexity. We also provide the simulation results to validate performance analysis of our algorithm.

• 한국통신학회논문지
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• 제28권1B호
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• pp.27-32
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• 2003

본 논문에서는 고속 네트웍 기반의 분산 병렬 시스템에서 다양한 내재 병렬 형태를 갖는 프로그램의 효과적인 수행을 위한 유전자 알고리즘 기반의 태스크 스케쥴링 방법(Genetic Algorithm based Task Scheduling GATS)을 제안한다. 분산병렬 시스템은 고속 네트웍을 통해 연결되어진 다수의 범용, 병렬, 벡터 컴퓨터들로 구성되어진다. 분산병렬 처리의 목적은 다양한 내재 병렬 형태를 갖는 연산 집약적인 문제들을 다수의 고성능 및 병렬 컴퓨터들의 각기 다른 능력을 최대한 이용하여 해결함에 있다 분산병렬 시스템에서 스케쥴링을 통하여 더 많은 속도향상을 얻기 위해서는 시스템간의 부하 균형보다는 태스크와 병렬 컴퓨터간의 병렬특성의 일치가 주의 깊게 다루어져야 하며 태스크의 이동으로 인한 통신 오버헤드가 최소화되어야 한다 본 논문에서는 유전자 알고리즘의 동작이 병렬 특성을 감안하여 이루어질 수 있도록 초기화 방법과 지식 기반의 mutation 방법을 제안한다.