{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:19:46Z","timestamp":1765041586397,"version":"3.37.3"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Major Program (JD) of Hubei Province","award":["2023BAA024"],"award-info":[{"award-number":["2023BAA024"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tc.2024.3510624","type":"journal-article","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T18:38:30Z","timestamp":1733164710000},"page":"955-967","source":"Crossref","is-referenced-by-count":2,"title":["RuYi: Optimizing Burst Buffer Through Automated, Fine-Grained Process-to-BB Mapping"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7017-4941","authenticated-orcid":false,"given":"Yusheng","family":"Hua","sequence":"first","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8451-8656","authenticated-orcid":false,"given":"Xuanhua","family":"Shi","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5671-0576","authenticated-orcid":false,"given":"Ligang","family":"He","sequence":"additional","affiliation":[{"name":"University of Warwick, Coventry, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4699-0142","authenticated-orcid":false,"given":"Kang","family":"He","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4731-1477","authenticated-orcid":false,"given":"Teng","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3934-7605","authenticated-orcid":false,"given":"Hai","family":"Jin","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9961-9051","authenticated-orcid":false,"given":"Yong","family":"Chen","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2012.6232369"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2172\/1328312"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3079079.3079087"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICPP.2016.54"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3229710.3229718"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2019.00072"},{"key":"ref7","first-page":"265","article-title":"Automatic, application-aware I\/O forwarding resource allocation","volume-title":"Proc. 17th USENIX Conf. File Storage Technol. (FAST)","author":"Ji","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3581784.3607041"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3305028"},{"key":"ref10","first-page":"1","article-title":"A configurable rule based classful token bucket filter network request scheduler for the lustre file system","volume-title":"Proc. Int. Conf. High Perform. Comput., Netw., Storage Anal.","author":"Qian","year":"2017"},{"key":"ref11","first-page":"103","article-title":"Gift: A coupon based throttle-and-reward mechanism for fair and efficient i\/o bandwidth management on parallel storage systems","volume-title":"Proc. 18th USENIX Conf. File Storage Technologies (FAST 20)","author":"Patel","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2018.00020"},{"key":"ref13","first-page":"1","article-title":"QOS support for end users of I\/O-intensive applications using shared storage systems","volume-title":"Proc. Int. Conf. High Perform. Comput., Netw., Storage Anal.","author":"Zhang","year":"2011"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2014.57"},{"key":"ref15","first-page":"215","article-title":"HadaFS: A file system bridging the local and shared burst buffer for exascale supercomputers","volume-title":"Proc. USENIX Conf. File Storage Technol. (FAST)","author":"He","year":"2023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2018.00046"},{"key":"ref17","first-page":"11","article-title":"Architecture and design of cray datawarp","volume-title":"Proc. Cray User Group (CUG)","author":"Henseler","year":"2016"},{"key":"ref18","first-page":"379","article-title":"End-to-end I\/O monitoring on a leading supercomputer","author":"Yang","year":"2019","journal-title":"Proc. 16th USENIX Symp. Netw. Syst. Design Implementation (NSDI)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3502181.3531461"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ESPT.2016.006"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2018.00077"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2834976.2834985"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11091318"},{"key":"ref24","first-page":"437","article-title":"mClock: Handling throughput variability for hypervisor IO scheduling","volume":"10","author":"Gulati","year":"2010","journal-title":"Proc. OSDI"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/sim.5941"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2016.50"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2017.25"},{"key":"ref28","first-page":"17","article-title":"$\\{${BlockFlex$\\}$}: Enabling storage harvesting with $\\{${Software-Defined$\\}$} flash in modern cloud platforms","author":"Reidys","year":"2022","journal-title":"Proc. 16th USENIX Symp. Oper. Syst. Design Implementation (OSDI)"},{"key":"ref29","article-title":"BlockManager in Spark"},{"key":"ref30","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume":"32","author":"Paszke","year":"2019","journal-title":"Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref31","article-title":"gRPC-C"},{"key":"ref32","article-title":"HACC-IO"},{"key":"ref33","article-title":"A description of the advanced research WRF version 3"},{"key":"ref34","article-title":"VPIC-IO"},{"article-title":"Using IOR to analyze the I\/O performance for HPC platforms","year":"2007","author":"Shan","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTERWorkshops61457.2023.00014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12659-8_22"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.32614\/cran.package.xgboost"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2019.2898192"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3510415"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-019-2808-x"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2367589.2367603"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2018.00045"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2011.5937213"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/12\/10880492\/10772616.pdf?arnumber=10772616","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T22:57:19Z","timestamp":1740437839000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10772616\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":45,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tc.2024.3510624","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"type":"print","value":"0018-9340"},{"type":"electronic","value":"1557-9956"},{"type":"electronic","value":"2326-3814"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}