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Institution

Korea Institute of Science and Technology Information

FacilityDaejeon, South Korea
About: Korea Institute of Science and Technology Information is a facility organization based out in Daejeon, South Korea. It is known for research contribution in the topics: Gravitational wave & LIGO. The organization has 1152 authors who have published 2319 publications receiving 93849 citations. The organization is also known as: Korea Institute of Science and Technology Information & KISTI.
Topics: Gravitational wave, LIGO, KEKB, Grid, Grid computing


Papers
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Journal ArticleDOI
01 Jul 2016
TL;DR: Efficient resource allocation algorithms can be developed for cloud bursting process to minimize the operational cost and resource waste with the guidance of the developed reference model.
Abstract: Cloud bursting is one of the key research topics in the cloud computing communities. A well designed cloud bursting module enables private clouds to automatically launch virtual machines (VMs) to public clouds when more resources are needed. One of the main challenges in developing a cloud bursting module is to decide when and where to launch a VM so that all resources are most effectively and efficiently utilized and the system performance is optimized. However, based on system operational data obtained from FermiCloud, a private cloud developed by the Fermi National Accelerator Laboratory for scientific workflows, the VM launching overhead is not a constant. It varies with physical resource utilization, such as CPU and I/O device utilizations, at the time when a VM is launched. Hence, to make judicious decisions as to when and where a VM should be launched, a VM launching overhead reference model is needed. In this paper, we first develop a VM launching overhead reference model based on operational data we have obtained on FermiCloud. Second, we apply the developed reference model on FermiCloud and compare calculated VM launching overhead values based on the model with measured overhead values on FermiCloud. Our empirical results on FermiCloud indicate that the developed reference model is accurate. We believe, with the guidance of the developed reference model, efficient resource allocation algorithms can be developed for cloud bursting process to minimize the operational cost and resource waste.

20 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide definitions and classifications for heterogeneous data/events/services according to the properties of the things in order to integrate them into a framework for description.

20 citations

Journal ArticleDOI
Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3, Fausto Acernese4  +1326 moreInstitutions (149)
TL;DR: In this article, the authors search for gravitational-wave transients associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the first part of the third observing run of Advanced LIGO and Advanced Virgo (2019 April 1 15:00 UTC-2019 October 1 15,00 UTC).
Abstract: We search for gravitational-wave transients associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the first part of the third observing run of Advanced LIGO and Advanced Virgo (2019 April 1 15:00 UTC–2019 October 1 15:00 UTC). A total of 105 GRBs were analyzed using a search for generic gravitational-wave transients; 32 GRBs were analyzed with a search that specifically targets neutron star binary mergers as short GRB progenitors. We find no significant evidence for gravitational-wave signals associated with the GRBs that we followed up, nor for a population of unidentified subthreshold signals. We consider several source types and signal morphologies, and report for these lower bounds on the distance to each GRB.

20 citations

Proceedings ArticleDOI
16 May 2016
TL;DR: A novel cyber-environment, called "Education-research Integration through Simulation On the Net" (EDISON), which has been designed and implemented to access and run various TCAD software tools developed in five selected CSE fields over the past four years is presented.
Abstract: Computational science and engineering (CSE) researchers usually develop their own technology computer-aided design (TCAD) programs, accompanying large-scale computation and I/O on high-performance computing (HPC) resources like clusters or supercomputers. The researchers typically use command-line interface (CLI) such as Terminal to access the HPC resources. But CLI may not be a useful tool to those who conduct research or get educated with the TCAD software, because of their unfamiliarity with executing a series of commands. Thus there has been a strong need on a platform that assists domain-specific scientists to easily share, access, and run TCAD services. To satisfy the need, in this poster we present a novel cyber-environment, called "Education-research Integration through Simulation On the Net" (EDISON), which has been designed and implemented to access and run various TCAD software tools developed in five selected CSE fields over the past four years. The EDISON platform comprises three layers: application portal to browse and run TCAD software, middleware to manage metadata associated with TCAD software and handle online simulation jobs, and infrastructure to support network, storage, and computing resources. In this demo a user will interact with the EDISON platform to perform two representative use-case scenarios: 1) browsing various TCAD tools, selecting one of the tools, controlling with its parameters, and running a simulation job from the tool, and 2) constructing a scientific workflow of selected TCAD tools and executing the workflow. At the end, the user will visualize the completed simulation results.

20 citations

Journal ArticleDOI
TL;DR: This study used both inference and prediction models by linking two heterogeneous databases, consisting of the responses of 1,439 manufacturing SMEs to the Korean Innovation Survey and the financial information of approximately 119,890 companies, to determine PPIN performance.

20 citations


Authors

Showing all 1155 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
Yang Yang1642704144071
Yongsun Kim1562588145619
Jongmin Lee1502257134772
Teruki Kamon1422034115633
G. Bauer131114783657
Jung-Hyun Kim113119556181
Jin Yong Lee10775755220
U. K. Yang10378254135
Sang Un Ahn8239122067
G. Kang8121050549
Y. D. Oh8055324043
M. K. M. Bader7918252738
H. J. Jang7319432564
Chunglee Kim7115617096
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20223
2021150
2020154
2019141
2018128