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공공누리This item is licensed Korea Open Government License

Title
A Simulation-Provenance Data Management System for Efficient Job Execution on an Online Computational Science Engineering Platform
Author(s)
마진조금원서영균이식
Publication Year
2018-09-17
Abstract
In the past few years an online simulation service platform (named EDISON) has been applauded by several computational
science and engineering communities in several countries. Though armed with multiple computing clusters and high-end
storage resources, the platform has suffered from handling a huge amount of CPU-/IO-bound simulations that are most
duplicated. Such intense simulations are normally admitted with no duplicate elimination and thus can adversely affect the
performance of the platform. To address this performance concern, we propose a novel system, termed SUPERMAN, to
seamlessly record and retrieve the provenances of previously executed simulations, and so prevent users from initiating
duplicate and/or similar simulations using the limited computing resources. The system collects the simulation provenances
based on a variant of a de-facto standard form, thereby offering interoperability. Based on the stored provenances, the
system can provide useful simulation run statistics for users that need assistance. SUPERMAN also applies a hash-based
duplicate elimination technique, resulting in making more efficient simulations on the platform. Finally, we show that the
proposed proposed system could remove slightly over half of duplicate simulations on a variety of simulation software
while obtaining about overall elapsed time savings of 30% and queuing time savings of 25%.
Keyword
EDISON; Computing Clusters; Simulation; Provenance; PROV; Science App
Journal Title
Cluster Computing
ISSN
1386-7857
Files in This Item:
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14797
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