{"id":"https://openalex.org/W7225620862","doi":"https://doi.org/10.24433/co.1286031.v1","title":"Multi-Fidelity Candidate Screening with a Simulator-Faithful Decoder for Risk-Aware Cloud Workflow Scheduling","display_name":"Multi-Fidelity Candidate Screening with a Simulator-Faithful Decoder for Risk-Aware Cloud Workflow Scheduling","publication_year":2026,"publication_date":"2026-11-09","ids":{"openalex":"https://openalex.org/W7225620862","doi":"https://doi.org/10.24433/co.1286031.v1"},"language":"en","primary_location":{"id":"doi:10.24433/co.1286031.v1","doi":"https://doi.org/10.24433/co.1286031.v1","is_oa":true,"landing_page_url":"https://doi.org/10.24433/co.1286031.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407052302","display_name":"Code Ocean","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"volume":null,"type":"software","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.24433/co.1286031.v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011176960","display_name":"Mohammed Alaa Ala\u2019anzy","orcid":"https://orcid.org/0000-0002-0005-7037","observed_orcids":["https://orcid.org/0000-0002-0005-7037"]},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I177969490","display_name":"University of Southern Denmark","ror":"https://ror.org/03yrrjy16","country_code":"DK","type":"education","lineage":["https://openalex.org/I177969490"]}],"countries":["CN","DK"],"is_corresponding":true,"raw_author_name":"Mohammed Alaa Ala'anzy","raw_affiliation_strings":["SDU University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SDU University","institution_ids":["https://openalex.org/I154099455","https://openalex.org/I177969490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011176960"],"corresponding_institution_ids":["https://openalex.org/I154099455","https://openalex.org/I177969490"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.7714999914169312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.7714999914169312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.1746000051498413,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.02879999950528145,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-workflow-scheduling","display_name":"cloud workflow scheduling","score":0.8230000138282776},{"id":"https://openalex.org/keywords/risk-aware-scheduling","display_name":"risk-aware scheduling","score":0.9049999713897705},{"id":"https://openalex.org/keywords/workflowsim","display_name":"WorkflowSim","score":0.7950000166893005},{"id":"https://openalex.org/keywords/conditional-value-at-risk","display_name":"conditional value at risk","score":0.7080000042915344},{"id":"https://openalex.org/keywords/ridge-regression","display_name":"ridge regression","score":0.31200000643730164},{"id":"https://openalex.org/keywords/boosted-trees","display_name":"boosted trees","score":0.9179999828338623},{"id":"https://openalex.org/keywords/virtual-machine-placement","display_name":"virtual machine placement","score":0.47200000286102295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259000182151794},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.822700023651123},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5813999772071838},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.5210000276565552},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.503000020980835},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4875999987125397},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.4860000014305115},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.3612000048160553},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31380000710487366},{"id":"https://openalex.org/C188220564","wikidata":"https://www.wikidata.org/wiki/Q3325097","display_name":"Workflow engine","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C19612761","wikidata":"https://www.wikidata.org/wiki/Q8034836","display_name":"Workflow technology","level":3,"score":0.2833000123500824},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26750001311302185},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24433/co.1286031.v1","doi":"https://doi.org/10.24433/co.1286031.v1","is_oa":true,"landing_page_url":"https://doi.org/10.24433/co.1286031.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407052302","display_name":"Code Ocean","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"}],"best_oa_location":{"id":"doi:10.24433/co.1286031.v1","doi":"https://doi.org/10.24433/co.1286031.v1","is_oa":true,"landing_page_url":"https://doi.org/10.24433/co.1286031.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407052302","display_name":"Code Ocean","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2563243562","https://openalex.org/W7169808939","https://openalex.org/W2613359361","https://openalex.org/W3004581599","https://openalex.org/W4295789375","https://openalex.org/W2899433628","https://openalex.org/W4285193130","https://openalex.org/W4387911250","https://openalex.org/W6903782393","https://openalex.org/W4402401481"],"abstract_inverted_index":{"LIWSA-MF2":[0],"is":[1,70,276,335],"a":[2,71,74,84,105,136,148,171,330,350],"research":[3],"codebase":[4],"for":[5,109,344],"evaluating":[6],"workflow":[7,45,49,142,444,446],"schedulers":[8],"under":[9],"multi-objective":[10,28,72],"and":[11,32,38,56,98,119,129,159,183,195,200,205,216,230,244,255,301,314,385,412,417,427,441,450],"risk-aware":[12],"settings.":[13],"It":[14,51],"includes":[15,52],"the":[16,19,57,62,124,225,265,316,322,367],"LIWSA":[17,179,342],"method,":[18],"guided":[20],"**LIWSA+**":[21],"search":[22,107,125,156,185],"(The":[23],"novelty),":[24],"simulator-faithful":[25,233,400],"scheduling,":[26],"competing":[27,153],"algorithms,":[29],"benchmark":[30],"workflows,":[31],"scripts":[33,58],"to":[34,60,94,147,366,394],"regenerate":[35],"reports,":[36],"tables,":[37],"plots.":[39],"The":[40,155,311],"package":[41],"contains":[42],"**20":[43],"Pegasus":[44],"definitions**":[46],"from":[47],"five":[48],"families.":[50],"reference":[53],"experiment":[54],"outputs":[55],"needed":[59],"reproduce":[61],"analyses.":[63],"##":[64],"\ud83e\udded":[65],"Research":[66,308],"focus":[67],"Workflow":[68],"scheduling":[69,237,401],"problem:":[73],"schedule":[75,86,359],"that":[76,332],"minimizes":[77],"completion":[78],"time":[79],"may":[80,87],"cost":[81,161,371],"more,":[82],"while":[83,370],"cheaper":[85],"take":[88],"longer":[89],"or":[90,290],"be":[91,281],"more":[92,116,127],"vulnerable":[93],"uncertain":[95],"execution":[96,160],"times":[97],"slow":[99],"virtual":[100,149],"machines.":[101],"This":[102],"work":[103],"studies":[104],"Pareto-based":[106,341],"approach":[108],"exploring":[110],"those":[111],"trade-offs,":[112],"then":[113],"examines":[114],"whether":[115],"faithful":[117],"simulation":[118],"multi-fidelity":[120,270,418],"evaluation":[121,275],"can":[122,259,280],"make":[123],"results":[126],"reliable":[128],"efficient.":[130],"###":[131,306],"\ud83e\udde0":[132],"Methodology":[133],"1.":[134],"**Represent":[135],"schedule.**":[137],"A":[138,232],"candidate":[139,278,425],"maps":[140],"each":[141,333],"task,":[143],"in":[144,264],"topological":[145],"order,":[146],"machine.":[150],"2.":[151],"**Optimize":[152],"objectives.**":[154],"evaluates":[157,315],"makespan":[158,262],"together,":[162],"preserving":[163],"non-dominated":[164,214,390],"alternatives":[165],"rather":[166],"than":[167],"collapsing":[168],"them":[169],"into":[170],"single":[172],"weighted":[173],"score.":[174],"3.":[175],"**Explore":[176],"alternative":[177],"assignments.**":[178],"uses":[180,203],"density-adaptive":[181],"solitary":[182],"social":[184],"moves.":[186,197],"LIWSA+":[187,202,352],"combines":[188],"these":[189],"with":[190,349,392],"canonical":[191],"evolutionary,":[192],"critical-path,":[193],"cost-directed,":[194],"estimate-guided":[196],"4.":[198],"**Preserve":[199],"adapt.**":[201],"Pareto-rank":[204],"crowding-based":[206],"population":[207],"survival,":[208],"maintains":[209],"an":[210,386],"archive":[211,388],"of":[212,324,378,389],"evaluated":[213],"schedules,":[215],"adapts":[217],"variation-operator":[218],"selection":[219],"based":[220],"on":[221],"observed":[222],"contributions":[223,309],"during":[224],"run.":[226],"5.":[227],"**Evaluate":[228],"fidelity":[229],"risk.**":[231],"decoder":[234,285],"models":[235],"WorkflowSim":[236],"behavior,":[238],"including":[239],"stage-in,":[240],"per-VM":[241],"input-file":[242],"caching,":[243],"FCFS":[245],"execution.":[246],"Risk-aware":[247],"experiments":[248],"evaluate":[249],"schedules":[250],"across":[251,443],"perturbed":[252,421],"task":[253],"lengths":[254],"machine":[256,374],"speeds;":[257],"CVaR":[258,423],"emphasize":[260],"poor":[261],"outcomes":[263],"scenario":[266,274],"tail.":[267],"6.":[268],"**Test":[269],"screening.**":[271],"When":[272],"full":[273,405],"expensive,":[277],"pools":[279],"screened":[282],"using":[283],"nominal":[284],"values,":[286],"online":[287],"ridge":[288],"models,":[289],"boosted":[291],"trees":[292],"before":[293],"selected":[294],"candidates":[295],"receive":[296],"expensive":[297],"evaluation.":[298],"Random-selection":[299],"controls":[300],"equal-budget":[302],"comparisons":[303],"are":[304,328],"included.":[305],"\u2728":[307],"examined":[310],"repository":[312],"implements":[313],"following":[317],"methodological":[318],"elements.":[319],"These":[320],"describe":[321],"scope":[323],"this":[325],"work;":[326],"they":[327],"not":[329],"claim":[331],"element":[334],"individually":[336],"unprecedented:":[337],"-":[338,354,380,398,415,431],"**A":[339,399,432],"density-adaptive,":[340],"search**":[343],"discrete":[345],"task-to-machine":[346],"assignments,":[347],"together":[348],"population-based":[351],"extension.":[353],"**Search":[355],"operators":[356],"informed":[357],"by":[358],"structure:**":[360],"critical-chain":[361],"moves":[362,372],"target":[363],"tasks":[364],"contributing":[365],"current":[368],"makespan,":[369],"consider":[373],"price":[375],"per":[376],"unit":[377],"work.":[379],"**Online":[381],"adaptive":[382],"operator":[383],"selection**":[384],"anytime":[387],"solutions,":[391],"ablations":[393],"examine":[395],"component":[396],"effects.":[397],"decoder**":[402],"validated":[403],"against":[404,436],"WorkflowSim,":[406],"reducing":[407],"discrepancies":[408],"between":[409],"search-time":[410],"estimates":[411],"simulator-measured":[413],"outcomes.":[414],"**Risk-aware":[416],"evaluation**":[419],"combining":[420],"scenarios,":[422],"objectives,":[424],"pre-screening,":[426],"learned":[428],"surrogate":[429],"models.":[430],"reproducible":[433],"comparative":[434],"study**":[435],"NSGA-II,":[437],"SPEA2,":[438],"MOEA/D,":[439],"HEFT,":[440],"Min-Min":[442],"families,":[445],"sizes,":[447],"pricing":[448],"settings,":[449],"algorithm":[451],"ablations.":[452]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-10T00:00:00"}
