Bayesian Regression Modeling for Patent Keyword Analysis (특허키워드분석을 위한 베이지안 회귀모형)

Choi.Jun-Hyeog (최준혁); Sung-Hae Jun (전성해)

Bayesian Regression Modeling for Patent Keyword Analysis

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2016, 21(1), pp.125-129
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Choi.Jun-Hyeog ¹, Sung-Hae Jun ²

¹김포대학교
²청주대학교

Accredited

ABSTRACT

In this paper, we propose an efficient dynamic workload balancing strategy which improves the performance of high-performance computing system. The key idea of this dynamic workload balancing strategy is to minimize execution time of each job and to maximize the system throughput by effectively using system resource such as CPU, memory. Also, this strategy dynamically allocates job by considering demanded memory size of executing job and workload status of each node. If an overload node occurs due to allocated job, the proposed scheme migrates job, executing in overload nodes, to another free nodes and reduces the waiting time and execution time of job by balancing workload of each node. Through simulation, we show that the proposed dynamic workload balancing strategy based on CPU, memory improves the performance of high-performance computing system compared to previous strategies.

KEYWORDS

Allocation, Workload, Migration, Load balancing, Simulation

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65