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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-13
13:30
Misc. Kikai-Shinko-Kaikan Bldg. (Misc.) Mixed integer programming model for flexible job shop problems with process converging
Kosuke Aoki, Masaki Nakamura, Kazutoshi Sakakibara (Toyama Prefectural Univ.) MSS2023-76 NLP2023-128
In this paper, we propose a scheduling method for manufacturing sites that include production lines with convergence pro... [more] MSS2023-76 NLP2023-128
pp.29-34
KBSE 2023-01-19
14:40
Ishikawa   (Ishikawa, Online)
(Primary: On-site, Secondary: Online)
Fairness-aware human resource allocation for runtime business process
Nayuta Egashira, Hiroki Horita (Ibaraki Univ.) KBSE2022-46
Predictive business process monitoring improves the work efficiency of a running business process based on the analysis ... [more] KBSE2022-46
pp.19-24
NS, ICM, CQ, NV
(Joint)
2022-11-25
10:10
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online (Fukuoka, Online)
(Primary: On-site, Secondary: Online)
Job Scheduling Problem Considering Content Generation Time in Edge Computing
Hirofumi Osumi (Doshisha Univ.), Yusuke Ito (Kitakyushu Univ.), Tomotaka Kimura (Doshisha Univ.), Kouji Hirata (Kansai Univ.), Jun Cheng (Doshisha Univ.) NS2022-119
In this paper, we propose a job scheduling method based on content generation time in an edge computing environment. The... [more] NS2022-119
pp.109-112
ICM 2022-03-03
09:25
Online Online (Online) Study of a Communication Method for Job Execution over the Internet for Existing Job Scheduler Products
Jun Mizuno, Akira Matsui, Satoshi Nakamura (Hitachi) ICM2021-43
Due to the government policy of "cloud by default", there is a need to support cloud computing for job schedulers runnin... [more] ICM2021-43
pp.6-11
PN 2020-08-25
10:50
Online Online (Online) Policy Gradient-based Deep Reinforcement Learning for Deadline-aware Data Transfer over Wide Area Networks
Masaki Notoya, Kohei Shiomoto (Tokyo City Univ.), Takashi Kurimoto (NII) PN2020-21
Deadline-aware job scheduling problems have been attracting attention in the application domains of scientific workflows... [more] PN2020-21
pp.49-56
PN 2020-03-03
09:00
Kagoshima (Kagoshima)
(Cancelled but technical report was issued)
Research of Scheduling Method Considering Traffic-Characteristics for Data Center Wide Area Network(DC-WAN)
Takashi Arakawa, Kohei Shiomoto (TCU), Takashi Kurimoto (NII) PN2019-61
Recent years, the demand for efficient use of Data-Center Wide Area Network (DC-WAN) is increasing.
Since delay affects... [more]
PN2019-61
pp.51-58
ICM 2018-03-09
09:00
Okinawa (Okinawa) Analysis of tasks that continuously generate error events in cloud platforms
Koji Mandai, Jun Kawahara, Shoji Kasahara (NAIST) ICM2017-64
In this research, we analyze the characteristics of failed jobs in data sets recording the execution status of jobs and ... [more] ICM2017-64
pp.49-54
NS 2017-10-26
10:45
Osaka I-site nanba (Osaka) [Invited Lecture] HVC: A Hybrid Cloud Computing Framework in Vehicular Environment
Jingyun Feng (NII/Sokendai), Zhi Liu (Shizuoka Univ.), Celimuge Wu (UEC), Yusheng Ji (NII/Sokendai) NS2017-89
As increasingly more applications are deployed in vehicles, how to provide the demanded computational capability becomes... [more] NS2017-89
pp.1-6
 Results 1 - 8 of 8  /   
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