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Jong‐Kook Kim

Korea University · Computer Science

About the Lab

Professor Jong-Kook Kim's research lab specializes in distributed and heterogeneous computing systems, with a strong focus on resource management, task scheduling, and energy-efficient computation in dynamic environments such as ad hoc grids. The lab investigates adaptive algorithms for image enhancement in medical diagnostics, particularly in mammography, to improve diagnostic accuracy. Key research directions include optimizing task mapping and scheduling under energy and performance constraints, leveraging dynamic voltage scaling and local statistics for intelligent system adaptation. The lab also explores quality of service (QoS) provisioning in distributed systems where resource demands exceed availability, aiming to maximize system efficiency and user satisfaction.

ad hoc gridheterogeneous computingresource managementenergy efficiencytask scheduling

Research Overview

Papers
125
Total Citations
1,843
Papers (5y)
21
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
21total
2022
2023
2024
2025
2026
Citations per year (5y)
47total
20222023202420252026

Selected Papers

15
1
Article|131 citations·1997
Adaptive mammographic image enhancement using first derivative and local statistics
Jong‐Kook Kim, Jeong Mi Park, Koun Sik Song, Hyun Wook Park
SJR Q1IEEE Transactions on Medical Imaging

This paper proposes an adaptive image enhancement method for mammographic images, which is based on the first derivative and the local statistics. The adaptive enhancement method consists of three processing steps. The first step is to remove the film artifacts which may be misread as microcalcifications. The second step is to compute the gradient images by using the first derivative operators. The third step is to enhance the important features of the mammographic image by adding the adaptively

Computer Vision and Pattern RecognitionComputer Science
2
Article|87 citations·2006
Dynamically mapping tasks with priorities and multiple deadlines in a heterogeneous environment
Jong‐Kook Kim, S. Shivle, Howard Jay Siegel, Anthony A. Maciejewski, Tracy D. Braun, Myron Schneider, Sonja Tideman, Ramakrishna Chitta, Raheleh B. Dilmaghani, Rohit Joshi, Aditya Kaul, Ashish Sharma
SJR Q1Journal of Parallel and Distributed Computing
Computer Networks and CommunicationsComputer Science
3
Article|59 citations·2008
Dynamic Resource Management in Energy Constrained Heterogeneous Computing Systems Using Voltage Scaling
Jong‐Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski, Rudolf Eigenmann
SJR Q1IEEE Transactions on Parallel and Distributed Systems

An ad hoc grid is a wireless heterogeneous computing environment without a fixed infrastructure. This study considers wireless devices that have different capabilities, have limited battery capacity, support dynamic voltage scaling, and are expected to be used for eight hours at a time and then recharged. To maximize the performance of the system, it is essential to assign resources to tasks (match) and order the execution of tasks on each resource (schedule) in a manner that exploits the hetero

Computer Networks and CommunicationsComputer Science
4
Article|37 citations·2004
Dynamic mapping in a heterogeneous environment with tasks having priorities and multiple deadlines
Jong‐Kook Kim, S. Shivle, Howard Jay Siegel, Anthony A. Maciejewski, Tracy D. Braun, Myron Schneider, Sonja Tideman, Ramakrishna Chitta, Raheleh B. Dilmaghani, R. C. Joshi, Aditya Kaul, Anil Kumar Sharma

In a distributed heterogeneous computing system, the resources have different capabilities and tasks have different requirements. To maximize the performance of the system, it is essential to assign resources to tasks (match) and order the execution of tasks on each resource (schedule in a manner that exploits the heterogeneity of the resources and tasks. The mapping (defined as matching and scheduling) of tasks onto machines with varied computational capabilities has been shown, in general, to

Computer Networks and CommunicationsComputer Science
5
Article|23 citations·2008
Static heuristics for robust resource allocation of continuously executing applications
Shoukat Ali, Jong‐Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski
SJR Q1Journal of Parallel and Distributed Computing
Computer Networks and CommunicationsComputer Science
6
Article|21 citations·2004
Formation of textures and microstructures in asymmetrically cold rolled and subsequently annealed aluminum alloy 1100 sheets
Jong‐Kook Kim, Young-Kyu Jee, Moo‐Young Huh, Hyo-Tae Jeong
SJR Q1Journal of Materials Science
Materials ChemistryMaterials Science
7
Article|17 citations·2005
Dynamic Mapping in Energy Constrained Heterogeneous Computing Systems
Jong‐Kook Kim, Howard Jay Siegel, Anthony A. Maciejewski, Rudolf Eigenmann
OA

An ad hoc grid is a wireless heterogeneous computing environment without a fixed infrastructure. The wireless devices have different capabilities, have limited battery capacity, support dynamic voltage scaling, and are expected to be used for eight hours at a time and then recharged. To maximize the performance of the system, it is essential to assign resources to tasks (match) and order the execution of tasks on each resource (schedule) in a manner that exploits the heterogeneity of the resourc

Computer Networks and CommunicationsComputer Science
8
Article|17 citations·2002
A QoS performance measure framework for distributed heterogeneous networks
Jong‐Kook Kim, D. Hensgen, T. Kidd, Howard Jay Siegel, D. St. John, Cynthia Irvine, Tim Levin, Norman Wayne Porter, Viktor K. Prasanna, Richard F. Freund

In a distributed heterogeneous computing environment, users' tasks are allocated resources to simultaneously satisfy, to varying degrees, the tasks' different, and possibly conflicting, quality of service (QoS) requirements. When the total demand placed on system resources by the tasks, for a given interval of time, exceeds the resources available, some tasks will receive degraded service or no service at all. One part of a measure to quantify the success of a resource management system (RMS) in

Computer Networks and CommunicationsComputer Science
9
Article|17 citations·2004
Evolution of strain states and textures during roll-cladding in STS/Al/STS sheets
Jong‐Kook Kim, Moo Young Huh, Jae‐Chul Lee, Kwang Koo Jee, Olaf Engler
SJR Q1Journal of Materials Science
Aerospace EngineeringEngineering
10
Article|16 citations·2006
A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems
Jong‐Kook Kim, D. Hensgen, Taylor Kidd, Howard Jay Siegel, D. St. John, Cynthia Irvine, Tim Levin, Norman Wayne Porter, Viktor K. Prasanna, Richard F. Freund
SJR Q1Cluster Computing
Computer Networks and CommunicationsComputer Science
11
Article|14 citations·2005
Collective value QoS: a performance measure framework for distributed heterogeneous networks
Jong‐Kook Kim, T. Kidd, Howard Jay Siegel, Cynthia Irvine, Tim Levin, D. Hensgen, D. St. John, Viktor K. Prasanna, Richard F. Freund, Norman Wayne Porter

2 Abstract When users' tasks in a distributed heterogeneous computing environment are allocated resources, and the total demand placed on system resources by the tasks, for a given interval of time, exceeds the resources available, some tasks will receive degraded service, receive no service at all, or may be dropped from the system. One part of a

Computer Networks and CommunicationsComputer Science
12
report|11 citations·2000
A QoS Performance Measure Framework for Distributed Heterogeneous Networks
Jong‐Kook Kim, D. Hensgen, Taylor Kidd, Howard Jay Siegel, David St. John

In a distributed heterogeneous computing environment, users' tasks are allocated resources to simultaneously satisfy, to varying degrees, the tasks' different, and possibly conflicting, quality of service (QoS) requirements.When the total demand placed on system resources by the tasks, for a given interval of time, exceeds the resources available, some tasks will receive degraded service or no service at all.One part of a measure to quantify the success of a resource management system (RMS) in s

Computer Networks and CommunicationsComputer Science
14
dissertation|7 citations·2005
INVESTIGATION OF HIGH-NONLINEARITY GLASS FIBERS FOR POTENTIAL APPLICATIONS IN ULTRAFAST NONLINEAR FIBER DEVICES
Jong‐Kook Kim
VTechWorks (Virginia Tech)OA

Nonlinear fiber devices have been attracting considerable attention in recent years, due to their inherent ultrafast response time and potential applications in optical communication systems. They usually require long fibers to generate sufficient nonlinear phase shifts, since nonlinearities of conventional silica-core silica-clad fibers are too low. These long devices, however, cause the serious problems of pulse walk-off, pulse broadening, and polarization fluctuation which are major limiting

Ceramics and CompositesMaterials Science
15
Article|5 citations·2004
칸트 對 功利主義
김종국

논문은 공리주의와 칸트 도덕철학 간의 쟁점을 다루고 이를 통해 양자의 정체성을 분명하게 드러내려는 목적을 갖는다. 밀의 칸트 비판과 더불어 칸트의 기획을 공리주의로 환원하려는 시도가 꾸준히 있어 왔다. 논문은 이런 시도들을 도덕의 판정원칙(무엇이 옳은 행위인가)과 도덕의 실행 원칙(왜 옳은 행위를 행해야만 하는가)의 순서로 살펴보고 이에 대한 칸트적 응답을 대응시킨다. 판정론과 관련해서는 먼저 ‘최대 행복’과 ‘의무’ 간의 쟁점이, 다음으로 ‘합리적 선호’와 ‘순수 의지’ 간의 쟁점이 분석된다. 동기론과 관련해서는 ‘공리주의적 공감’과 ‘칸트적 의무감(양심의 감정)’의 특성이 그 객관적 근거인 공리와 의무와 관련하여 해명된다. 이상의 고찰을 통해 가치론 및 의지론 그리고 동기론 상에 있어 ‘보편주의 윤리학의 양대 기획인 목적론과 의무론’의 동일성과 구별성이 규명된다. 아울러 이러한 목적론과 의무론의 대립이 ‘라이프니츠-볼프 도덕철학에 대한 의지주의적 자연법주의자들의 비판’으로 소급된

Research Areas

Computer Networks and CommunicationsArtificial IntelligenceElectrical and Electronic EngineeringComputer Vision and Pattern RecognitionHardware and ArchitectureSignal Processing

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