{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T01:50:22Z","timestamp":1768873822703,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,6,15]],"date-time":"2016-06-15T00:00:00Z","timestamp":1465948800000},"content-version":"vor","delay-in-days":366,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","award":["AC52-06NA25396"],"award-info":[{"award-number":["AC52-06NA25396"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,6,15]]},"DOI":"10.1145\/2749246.2749249","type":"proceedings-article","created":{"date-parts":[[2015,6,8]],"date-time":"2015-06-08T11:11:12Z","timestamp":1433761872000},"page":"219-222","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["Towards Scalable Distributed Workload Manager with Monitoring-Based Weakly Consistent Resource Stealing"],"prefix":"10.1145","author":[{"given":"Ke","family":"Wang","sequence":"first","affiliation":[{"name":"Illinois Institute of Technology, Chicago, IL, USA"}]},{"given":"Xiaobing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Hortonworks Inc., Palo Alto, CA, USA"}]},{"given":"Kan","family":"Qiao","sequence":"additional","affiliation":[{"name":"Google, Seattle, WA, USA"}]},{"given":"Michael","family":"Lang","sequence":"additional","affiliation":[{"name":"Los Alamos National Laboratory, Los Alamos, NM, USA"}]},{"given":"Benjamin","family":"McClelland","sequence":"additional","affiliation":[{"name":"Intel, Hillsboro, OR, USA"}]},{"given":"Ioan","family":"Raicu","sequence":"additional","affiliation":[{"name":"Illinois Institute of Technology, Chicago, IL, USA"}]}],"member":"320","published-online":{"date-parts":[[2015,6,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"DARPA IPTO","author":"Sarkar V.","year":"2009","unstructured":"V. Sarkar, S. Amarasinghe, et al. \"ExaScale Software Study: Software Challenges in Extreme Scale Systems.\" ExaScale Computing Study, DARPA IPTO, 2009."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/180\/1\/012046"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/546703"},{"key":"e_1_3_2_1_4_1","volume-title":"June","author":"Basermann A.","year":"2010","unstructured":"A. Basermann and K. Solchenbach. \"Ensemble Simulations on highly Scaling HPC Systems (EnSIM).\" CiHPC - Competence in High Performance Computing, June 2010."},{"key":"e_1_3_2_1_5_1","volume-title":"IEEE MTAGS","author":"Raicu I.","year":"2008","unstructured":"I. Raicu, Y. Zhao, et al. \"Many-Task Computing for Grids and Supercomputers.\" IEEE MTAGS 2008."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","unstructured":"K. Wang Z. Ma I. Raicu. \"Modelling Many-Task Computing Workloads on a Petaflop IBM BlueGene\/P Supercomputer.\" IEEE CloudFlow 2013. 10.1109\/IPDPSW.2013.274","DOI":"10.1109\/IPDPSW.2013.274"},{"key":"e_1_3_2_1_7_1","volume-title":"GCC 2005","author":"Dumitrescu Catalin","unstructured":"Catalin Dumitrescu, Ioan Raicu, Ian Foster. \"Experiences in Running Workloads over Grid3\", GCC 2005"},{"key":"e_1_3_2_1_8_1","volume-title":"JGC","author":"Dumitrescu Catalin","year":"2007","unstructured":"Catalin Dumitrescu, Ioan Raicu, Ian Foster. \"The Design, Usage, and Performance of GRUBER: A Grid uSLA-based Brokering Infrastructure\", JGC 2007."},{"key":"e_1_3_2_1_9_1","unstructured":"Dongfang Zhao Ioan Raicu. \"Distributed File Systems for Exascale Computing\" Doctoral Showcase IEEE\/ACM Supercomputing\/SC 2012"},{"key":"e_1_3_2_1_10_1","volume-title":"FusionFS: Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems.\" IEEE International Conference on Big Data","author":"Zhao D.","year":"2014","unstructured":"D. Zhao, Z. Zhang, et al. \"FusionFS: Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems.\" IEEE International Conference on Big Data 2014."},{"key":"e_1_3_2_1_11_1","volume-title":"Simple Linux utility for resource management.\" JSSPP","author":"Jette M.","year":"2003","unstructured":"M. Jette, A. Yoo, M. Grondona. \"SLURM: Simple Linux utility for resource management.\" JSSPP 2003."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/1268379.1268406"},{"key":"e_1_3_2_1_13_1","volume-title":"Sun Grid Engine: Towards Creating a Compute Power Grid.\" CCGrid","author":"Gentzsch W.","year":"2001","unstructured":"W. Gentzsch, et al. \"Sun Grid Engine: Towards Creating a Compute Power Grid.\" CCGrid 2001."},{"key":"e_1_3_2_1_14_1","unstructured":"K. Wang I. Raicu. \"Towards Next Generation Resource Management at Extreme-Scales.\" IIT PhD Proposal 2014."},{"key":"e_1_3_2_1_15_1","unstructured":"X. Zhou H. Chen et al. \"Exploring Distributed Resource Allocation Techniques in the SLURM Job Management System.\" Tech Report IIT 2013."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600212.2600703"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2013.110"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2503210.2503239"},{"key":"e_1_3_2_1_19_1","unstructured":"A. Kulkami K. Wang et al. \"Exploring Design Tradeoffs for Exascale System Services through Simulation.\" Tech Report Los Alamos National Laboratory 2013."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1654059.1654113"},{"key":"e_1_3_2_1_21_1","unstructured":"Google. \"Google Protocol Buffers \" available at https:\/\/github.com\/google\/protobuf\/ 2015."},{"key":"e_1_3_2_1_22_1","volume-title":"Probe: A thousand node experimental cluster for computer systems research","author":"Gibson G.","year":"2013","unstructured":"G. Gibson, G. Grider, et al. \"Probe: A thousand node experimental cluster for computer systems research.\" 2013."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/514191.514212"},{"key":"e_1_3_2_1_24_1","first-page":"1","volume-title":"The application level placement scheduler.\" Cray User Group","author":"Karo M.","year":"2006","unstructured":"M. Karo, R. Lagerstrom, et al. \"The application level placement scheduler.\" Cray User Group, pp. 1--7, 2006."},{"key":"e_1_3_2_1_25_1","volume-title":"https:\/\/github.com\/open-mpi\/orcm","year":"2015","unstructured":"Intel, ORCM, https:\/\/github.com\/open-mpi\/orcm, 2015."},{"key":"e_1_3_2_1_26_1","unstructured":"K. Wang et al. \"MATRIX: MAny-Task computing execution fabRIc at eXascale.\" Tech Report IIT 2013."},{"key":"e_1_3_2_1_27_1","unstructured":"K. Wang I. Raicu. \"Scheduling Data-intensive Many-task Computing Applications in the Cloud.\" NSFCloud Workshop 2014."},{"key":"e_1_3_2_1_28_1","volume-title":"Paving the Road to Exascale with Many-Task Computing.\" Doctoral Showcase","author":"Wang K.","year":"2012","unstructured":"K. Wang, A. Rajendran, et al. \"Paving the Road to Exascale with Many-Task Computing.\" Doctoral Showcase, IEEE\/ACM Supercomputing\/SC 2012."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/2499968.2499977"},{"key":"e_1_3_2_1_30_1","unstructured":"K. Wang J. Munuera et al. \"Centralized and Distributed Job Scheduling System Simulation at Exascale.\" Tech Report IIT 2011."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2499968.2499969"},{"key":"e_1_3_2_1_32_1","volume-title":"Achieving Efficient Distributed Scheduling with Message Queues in the Cloud for Many-Task Computing and High-Performance Computing.\" IEEE\/ACM CCGrid","author":"Sadooghi I.","year":"2014","unstructured":"I. Sadooghi, S. Palur, et al. \"Achieving Efficient Distributed Scheduling with Message Queues in the Cloud for Many-Task Computing and High-Performance Computing.\" IEEE\/ACM CCGrid, 2014."},{"key":"e_1_3_2_1_33_1","volume-title":"IEEE International Conference on Big Data","author":"Wang K.","year":"2014","unstructured":"K. Wang, X. Zhou, et al. \"Optimizing Load Balancing and Data-Locality with Data-aware Scheduling.\" IEEE International Conference on Big Data 2014."},{"key":"e_1_3_2_1_34_1","unstructured":"K. Ramamurthy K. Wang et al. \"Exploring Distributed HPC Scheduling in MATRIX.\" Tech Report IIT 2013."}],"event":{"name":"HPDC'15: The 24th International Symposium on High-Performance Parallel and Distributed Computing","location":"Portland Oregon USA","acronym":"HPDC'15","sponsor":["University of Arizona University of Arizona","SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2749246.2749249","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2749246.2749249","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2749246.2749249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:34:49Z","timestamp":1763458489000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2749246.2749249"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,15]]},"references-count":34,"alternative-id":["10.1145\/2749246.2749249","10.1145\/2749246"],"URL":"https:\/\/doi.org\/10.1145\/2749246.2749249","relation":{},"subject":[],"published":{"date-parts":[[2015,6,15]]},"assertion":[{"value":"2015-06-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}