@inproceedings{1651ee8a82ba48c69dfc005e4dbd660d,
title = "SuperMan: A Novel System for Storing and Retrieving Scientific-Simulation Provenance for Efficient Job Executions on Computing Clusters",
abstract = "Compute-intensive simulations typically chargesubstantial workloads on an online simulation platform backedby limited computing clusters and storage resources. Some (ormost) of the simulations initiated by users may accompany inputparameters/files that have been already provided by other (orsame) users in the past. Unfortunately, these duplicatesimulations may aggravate the performance of the platform bydrastic consumption of the limited resources shared by a numberof users on the platform. To minimize or avoid conductingrepeated simulations, we present a novel system, calledSUPERMAN (SimUlation ProvEnance Recycling MANager) thatcan record simulation provenances and recycle the results of pastsimulations. This system presents a great opportunity to not onlyreutilize existing results but also perform various analyticshelpful for those who are not familiar with the platform. Thesystem also offers interoperability across other systems bycollecting the provenances in a standardized format. In oursimulated experiments we found that over half of past computingjobs could be answered without actual executions by our system.",
keywords = "Computing Clusters, EDISON, HPC, PROV, Provenance, Simulation",
author = "Suh, {Young Kyoon} and Jin Ma",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 ; Conference date: 18-09-2017 Through 22-09-2017",
year = "2017",
month = oct,
day = "9",
doi = "10.1109/FAS-W.2017.160",
language = "English",
series = "Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "283--288",
booktitle = "Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017",
address = "United States",
}