• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.747-748
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• 2008

In this paper, we propose a new algorithm for task scheduling consisting of subtask partitioning and subtask priority scheduling steps in order to keep the peak power under the system specification. The subtask partitioning stepis performed to minimize the idle operation time for processors by dividing a task into multiple subtasks using the least square method developed with power consumption pattern of tasks. In the subtask priority scheduling step, a priority is assigned to a subtask based on the power requirement and the power variation of subtask so that the peak power violation can be minimized and the task can be completed within the execution time deadline.

• Journal of applied mathematics & informatics
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• 제22권1_2호
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• pp.523-533
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• 2006

We analyze two finite buffers queueing system with priority scheduling dependent upon queue length. Customers are classified into two types ( type-l and type-2 ) according to their characteristics. Here, the customers can be considered as traffics such as voice and data in telecommunication networks. In order to support customers with characteristics of burstiness and time-correlation between interarrival, the arrival of the type-2 customer is assumed to be an Markov- modulated Poisson process(MMPP). The service order of customers in each buffer is determined by the queue length of two buffers. Methods of embedded Markov chain and supplementary variable give us information for queue length of two buffers. Finally, performance measures such as loss and mean delay are derived.

• 한국통신학회논문지
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• 제19권8호
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• pp.1475-1484
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• 1994

본 논문은 2중 문턱값을 갖는 우선순위 스케쥴링 알고리즘과 버퍼의 히스테리시스 특성을 이용한 트레픽 제어기법을 제안하였다. 2중 문턱값을 갖는 우선순위 스케쥴링 알고리즘은 HOL과 QLT를 적용하였다. 버퍼의 히스테리시스 특성을 이용한 트래픽 제어기법으로는 히스테리시스성 QLT 알고리즘과 히스테리시스성 트래픽 유입제어를 제시하였다. 2중 문턱값을 갖는 동적 우선순위 스케쥴링 알고리즘이 기존의 QLT 알고리즘보다, 셀손실율과 평균지연에 있어서, 우수함을 컴퓨터 시뮬레이션을 통해 고찰하였다. 또 히스테리시스성 QTL 알고리즘과 트래픽 유입량 제어기법은 단일 문턱값을 이용한 방식보다 각각 효율이 개선됨을 알 수 있었다.

• ETRI Journal
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• 제32권3호
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• pp.422-429
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• 2010

We present guaranteed dynamic priority assignment schemes for multiple real-time tasks subject to (m, k)-firm deadlines. The proposed schemes have two scheduling objectives: providing a bounded probability of missing (m, k)-firm constraints and maximizing the probability of deadline satisfactions. The second scheduling objective is especially necessary in order to provide the best quality of service as well as to satisfy the minimum requirements expressed by (m, k)-firm deadlines. We analytically establish that the proposed schemes provide a guarantee on the bounded probability of missing (m, k)-firm constraints. Experimental studies validate our analytical results and confirm the effectiveness and superiority of the proposed schemes with regard to their scheduling objectives.

• International Journal of Automotive Technology
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• 제8권1호
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• pp.39-48
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• 2007

This paper addresses the problem of period and priority assignment in networked control systems (NCSs) using a fixed priority scheduler. The problem of assigning periods and priorities to tasks and messages is formulated as an optimization problem to allow for a systematic approach. The temporal characteristics of an NCS should be considered by defining an appropriate performance index (PI) which represents the temporal behavior of the NCS. In this study, the sum of the end-to-end response times required to process all I/Os with precedence relationships is defined as a PI. Constraints are derived from the task and message deadline requirements to guarantee schedulability. Genetic algorithms are used to solve this constrained optimization problem because the optimization formulation is discrete and nonlinear. By considering the effects of communication, an optimum set of periods and priorities can be holistically derived.

• 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.

• 전자공학회논문지CI
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• 제46권5호
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• pp.44-56
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• 2009

음성, 영상, 데이터와 같은 다양한 멀티미디어 서비스는 많은 대역폭과 실시간 처리가 필요하기 때문에 데이터의 지연과 손실에 민감한 특성을 가지고 있다. 따라서 네트워크의 흔잡 상황과 무선채널의 에러로 인한 데이터의 손실이 발생하여 사용자에게 QoS를 보장해주지 못하게 된다. 이러한 문제들을 해결하기 위해 멀티미디어 스트리밍 흐름에 속한 데이터 패킷의 중요도에 따른 차등적인 서비스로 멀티미디어의 품질을 개선하는 알고리즘의 연구가 필요하다. 본 논문에서는 무선손실이 발생했을 경우 IWFQ 알고리즘과 같이 동작하다가 멀티미디어 플로의 재생시간이 촉박할 때 우선적으로 채널을 할당하는 WMS-1(Wireless Multimedia Scheduling-1) 알고리즘과, 멀티미디어 플로에 우선권을 부여하고 프레임 유형에 따라 우선순위가 높은 프레임을 갖는 플로를 먼저 서비스하는 WMS-2(Wireless Multimedia Scheduling-2) 알고리즘을 제안한다. 기존의 알고리즘과의 비교를 통해 제안한 알고리즘의 멀티미디어 서비스 품질이 개선되었고 기지국의 큐 사이즈가 클수록 전체 서비스의 품질과 fairness가 향상된 것을 확인할 수 있었다.

• ETRI Journal
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• 제29권3호
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• pp.270-280
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• 2007

In Linux, real-time tasks are supported by separating real-time task priorities from non-real-time task priorities. However, this separation of priority ranges may not be effective when real-time tasks make the system calls that are taken care of by the kernel threads. Thus, Linux is considered a soft real-time system. Moreover, kernel threads are configured to have static priorities for throughputs. The static assignment of priorities to kernel threads causes trouble for real-time tasks when real-time tasks require kernel threads to be invoked to handle the system calls because kernel threads do not discriminate between real-time and non-real-time tasks. We present a dynamic kernel thread scheduling mechanism with weighted average priority inheritance protocol (PIP), a variation of the PIP. The scheduling algorithm assigns proper priorities to kernel threads at runtime by monitoring the activities of user-level real-time tasks. Experimental results show that the algorithms can greatly improve the unexpected execution latency of real-time tasks.

• JSTS:Journal of Semiconductor Technology and Science
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• 제16권6호
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• pp.808-816
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• 2016

As the number of CPU/GPU cores and IPs in SOC increases and applications require explosive memory bandwidth, simultaneously achieving good throughput and fairness in the memory system among interfering applications is very challenging. Recent works proposed priority-based thread scheduling and channel partitioning to improve throughput and fairness. However, combining these different approaches leads to performance and fairness degradation. In this paper, we analyze the problems incurred when combining priority-based scheduling and channel partitioning and propose dynamic priority thread scheduling and adaptive channel partitioning method. In addition, we propose dynamic address mapping to further optimize the proposed scheme. Combining proposed methods could enhance weighted speedup and fairness for memory intensive applications by 4.2% and 10.2% over TCM or by 19.7% and 19.9% over FR-FCFS on average whereas the proposed scheme requires space less than TCM by 8%.