• Journal of KIISE:Computer Systems and Theory
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• v.29 no.9
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• pp.520-529
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• 2002

This paper presents an approach for scheduling network messages with real-time dynamic algorithms. We present the method that calculates an intermediate relative deadline of the message based on the EDF(Earliest Deadline First) scheduling policy. We adjust the slack of message by using this intermediate relative deadline to allocate a priority of message. The priority of the message can be determined accurately by using the slack that calculates in our approach, which increases the schedulability efficiency of the message. As a result, we reduce the worst-case response time and improve the guarantee ratio of real-time messages. Also, we describe the analysis method to check the schedulability on message sets, and show the efficiency of our approach by comparing the results of the DM(Deadline Monotonic) approach and the existing EDF approach with that of the improved EDF in our approach through the simulation.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.2
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• pp.68-74
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• 2005

In deadline scheduling, jobs have deadlines by which they are completed. The scheduling algorithm determines which jobs are executed at each time. Then only the completed jobs contribute to the throughput or gain of the algorithm. The jobs have arbitrary weights and the gain of the algorithm is given as the sum of weights of the completed jobs. The goal of the scheduling algorithm is to maximize its gain. In this paper, we consider online non-preemptive scheduling, where jobs arrive online and the scheduling algorithm has no information about jobs arriving ahead. Also the jobs cannot be preempted or rejected while they are executed. For this problem, we obtain lower bounds for any online algorithms and also we propose an optimal online algorithm meeting the lower bounds.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.12B
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• pp.1037-1043
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• 2006

There has been proposed an algorithm to reduce data burst processing delay in group scheduling in core nodes of optical burst switching networks. Since, in this algorithm, look-up tables containing all the void time information in scheduling windows are generated as soon as the primary group scheduling session terminates, it becomes faster to reassign dropped data bursts to proper voids in different data channels by referring to the tables. The group scheduling with this algorithm showed almost the same channel utilization as the one without using the algorithm but performed a little better in both burst loss probability and wavelength conversion rate. On the other hand, per-burst processing time has been reduced dramatically in the load region of higher than 0.8, showing a factor of 2.1 reduction at 0.9.

• The KIPS Transactions:PartA
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• v.11A no.7 s.91
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• pp.521-528
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• 2004

In this-paper, we propose a new task scheduling scheme for bus-based cluster architectures and analyze performance of the scheduling scheme which has been implemented in a PC cluster. The implemented scheme schedules the tasks of a task graph to the processors of a PC cluster, and it reduces parallel execution time by selectively duplicating critical tasks using heuristic. Experimental results show that the proposed scheduling scheme produces better parallel execution time than the other scheduling scheme.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.4
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• pp.246-255
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• 2010

There exist virtual machine scheduling delays in virtualized environment in which virtual machines share physical resources. Many resource management systems have been proposed to provide better application QoS through monitoring and analyzing application performance and resource utilization of virtual machines. However, those management systems don't consider virtual machine scheduling delays, result in incorrect application performance evaluation and QoS violations In this paper, we propose an application behavior analysis considering the scheduling delays, and a virtual machine priority allocation scheme based on the analysis to improve the application response time by minimizing the overall virtual machine scheduling delays.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.2A
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• pp.121-127
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• 2010

In this paper, we propose a computationally efficient scheduling algorithm that can arbitrarily control the throughput-fairness tradeoff in a multiuser wireless communication environment. As a new scheduling criterion, we combine linearly two well-known scheduling criteria such as one of achieving the maximum sum throughput and the other of achieving the maximum fairness, so as to control the relative proportion of the throughput and the fairness according to a control factor. For linear combining two different criteria, their optimization directivenesses and the units should be unified first. To meet these requirements, we choose an instantaneous channel capacity as a scheduling criterion for maximizing the sum throughput and the average serving throughput for maximizing the fairness. Through a unified linear combining of two optimization objectives with the control factor, it can provide various throughput-fairness tradeoffs according to the control factors. For further simplification, we exploit a high signal-to-noise ratio (SNR) approximation of the instantaneous channel capacity. Through computer simulations, we evaluate the throughput and fairness performances of the proposed algorithm according to the control factors, assuming an independent Rayleigh fading multiuser channel. We also evaluate the proposed algorithm employing the high SNR approximation. From simulation results, we could see that the proposed algorithm can control arbitrarily the throughput-fairness performance between the performance of the scheduler aiming to the maximum sum throughput and that of the scheduler aiming to the maximum fairness, finally, we see that the high SNR approximation can give a satisfactory performance in this situation.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.826-828
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• 2005

인텔의 IA-64 프로세서는 명령어 수준의 병렬수행을 지원하는 EPIC (Explicitly Parallel Instruction Computing) 구조를 채택하고 있으며 컴파일러가 순차적 코드에서 병렬 수행이 가능한 독립적인 명령어들을 스케줄링 하도록 되어있다. 본 논문에서는 IA-64 스케줄링을 위해 향상된 파이프라인 스케줄링 (Enhanced Pipeline Scheduling, EPS) 기법[1]을 적용한 결과를 소개한다. EPS는 루프수준의 병렬화를 위한 소프트웨어 파이프라이닝 (software pipelining)기법으로 전역 스케줄링 (global Scheduling) 기법을 기반으로 하고 있다. 우리는 IA-64 프로세서를 위한 공개소스 컴파일러인 ORC (Open Research Compiler)에 EPS를 구현하고 실제 프로세서인 Itanium에서 실험을 수행하였다. 상용 프로세서와 컴파일러에 구현과 튜닝을 하는 과정에서 얻은 경험을 소개하고 기존의 ORC 컴파일러와 비교하여 얻은 성능 향상을 보고하고 분석한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.2
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• pp.248-256
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• 2002

In this paper, new multicast scheduling algorithms are proposed for the WDM single－hop broadcast－and－select networks. The existing multicast scheduling algorithms do not concerned the previous state of receivers, but the proposed method call H－EAR and PGM that partition a multicast group to subgroups using the tunable transmitter, state information of receivers, and pseudo group concept. the performance of proposed algorithms are evaluated through the computer simulation. They show the better Performance comparing with the existing multicast scheduling algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.9A
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• pp.1507-1515
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• 2001

본 논문은 실시간 커널과 비실시간 커널의 특성을 모두 가질 수 있는 이중 실시간 커널의 설계를 위한 이중 큐 스케줄링 알고리즘을 제안한다. 본 논문에서는 제안한 실시간 커널은 실시간 제약들을 고려한 실시간 커널과 비실시간 커널의 특성을 가지도록 설계한다. 그리고 실시간 태스크 안에는 인터럽트처리를 수행하고, 비실시간 태스크는 일반적인 작업을 수행한다. 실시간 커널에는 인터럽트 처리와 실시간 태스크를 처리하도록 하였다. 비실시간 커널은 일반적인 태스크를 처리하도록 한다. 또한 실시간 커널과 비실시간 커널을 이중 큐를 통하여 태스크의 처리를 수행한다. 그리고 실시간 태스크는 고정 우선 순위기반 스케줄링인 RMS을 사용하여 실시간 태스크 스케줄링을 한다. 제안된 실시간 시스템은 RT-Linux, QNX와 인터럽트 지연, 스케줄링 정확성, 메시지 전달시간 등을 비교 분석하여 효율성을 입증한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.6A
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• pp.1089-1098
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• 2001

WRR 스케줄링 알고리즘은 계산의 단순성과 저 비용 구현의 장점을 가지고 있어 고속 패킷 스위칭 네트워크에서 널리 쓰이고 있지만 버스티한 트래픽에 대해서는 입력 트래픽을 일정 비율로 스케줄링하기 때문에 효율성이 낮다는 문제점이 있다. 또한, WRR 알고리즘은 ABR 서비스 클래스의 공평성 기준의 하나인 Maximum of MCR or Max-Min share 공평성을 만족시키지 못한다. 따라서 ABR 서비스를 위한 공평성 기준을 만족시키는 스케줄링 알고리즘이 필요하다. 따라서, 본 논문에서는 ABR 서비스를 위한 5가지 공평성 기준들 중 Maximum of MCR or Max-Min share를 만족시키는 스케줄링 알고리즘을 제안한다. 제안된 알고리즘이 공평성 기준을 만족시키고, 네트워크 자원을 각 ABR VC들에게 공평하게 할당해 주는지를 컴퓨터 시뮬레이션을 통하여 WRR 알고리즘과 비교, 분석한다.