{"id":"https://openalex.org/W7133339582","doi":"https://doi.org/10.1109/ciot67574.2025.11410133","title":"Runtime RTT Variability Predictors for Performance-Aware Scheduling in Edge Computing","display_name":"Runtime RTT Variability Predictors for Performance-Aware Scheduling in Edge Computing","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W7133339582","doi":"https://doi.org/10.1109/ciot67574.2025.11410133"},"language":null,"primary_location":{"id":"doi:10.1109/ciot67574.2025.11410133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciot67574.2025.11410133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th Conference on Cloud and Internet of Things (CIoT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042296569","display_name":"Panagiotis Giannakopoulos","orcid":"https://orcid.org/0009-0005-2726-6786"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Panagiotis Giannakopoulos","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057428135","display_name":"Bart van Knippenberg","orcid":"https://orcid.org/0000-0002-6859-332X"},"institutions":[{"id":"https://openalex.org/I4210102558","display_name":"Thermo Fisher Scientific (Netherlands)","ror":"https://ror.org/01139ec29","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210102558","https://openalex.org/I4210142480"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bart Van Knippenberg","raw_affiliation_strings":["Materials and Structural Analysis, Thermo Fisher Scientific,Eindhoven,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Materials and Structural Analysis, Thermo Fisher Scientific,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I4210102558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040842871","display_name":"Kishor Chandra Joshi","orcid":"https://orcid.org/0000-0002-6047-5812"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kishor Chandra Joshi","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nicola Calabretta","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nicola Calabretta","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052712350","display_name":"George M. Exarchakos","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"George Exarchakos","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.2750000059604645,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.2750000059604645,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.20260000228881836,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.12120000272989273,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.673799991607666},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6399999856948853},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5378000140190125},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46389999985694885},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4577000141143799},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.39969998598098755},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.3991999924182892},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.3953999876976013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062000274658203},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.673799991607666},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6541000008583069},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6399999856948853},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5378000140190125},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4577000141143799},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.3953999876976013},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.34209999442100525},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciot67574.2025.11410133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciot67574.2025.11410133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th Conference on Cloud and Internet of Things (CIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.45438310503959656}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1930624869","https://openalex.org/W1965581896","https://openalex.org/W1978288593","https://openalex.org/W2000882268","https://openalex.org/W2091825929","https://openalex.org/W2112486185","https://openalex.org/W2295598076","https://openalex.org/W2466475476","https://openalex.org/W2593511418","https://openalex.org/W2926143647","https://openalex.org/W2943978006","https://openalex.org/W2950967305","https://openalex.org/W2953320394","https://openalex.org/W2962992803","https://openalex.org/W2982653373","https://openalex.org/W3007154432","https://openalex.org/W3013888836","https://openalex.org/W3047733020","https://openalex.org/W3088134032","https://openalex.org/W3096738151","https://openalex.org/W3157457932","https://openalex.org/W3190416127","https://openalex.org/W4253824360","https://openalex.org/W4403390507"],"related_works":[],"abstract_inverted_index":{"Applications":[0],"deployed":[1,31,91],"in":[2,32,57],"resource":[3,11,115,160],"clusters":[4],"often":[5,30,46],"experience":[6],"performance":[7,49,157],"variability":[8,88],"due":[9],"to":[10,99,123],"contention":[12],"and":[13,51,74,94,136,158],"system":[14],"heterogeneity.":[15],"This":[16],"is":[17],"particularly":[18],"problematic":[19],"for":[20,39,69],"time-sensitive":[21],"workloads,":[22],"such":[23],"as":[24],"latency-critical":[25],"IoT":[26],"applications,":[27],"which":[28,54],"are":[29,90,143],"edge":[33],"environments":[34],"where":[35],"co-located":[36],"services":[37],"compete":[38],"limited":[40],"computational":[41],"resources.":[42],"Existing":[43],"scheduling":[44],"policies":[45],"overlook":[47],"runtime":[48],"fluctuations":[50],"server":[52],"heterogeneity,":[53],"can":[55],"result":[56],"unpredictable":[58],"task":[59],"execution":[60],"times.":[61],"To":[62],"address":[63],"this,":[64],"we":[65],"propose":[66],"a":[67,108,131],"methodology":[68],"predicting":[70],"both":[71],"the":[72,140,148],"mean":[73],"standard":[75],"deviation":[76],"of":[77],"application":[78,101,156],"round-trip":[79],"time":[80],"(RTT)":[81],"under":[82,134],"dynamic":[83,135],"co-location":[84],"scenarios.":[85],"These":[86],"lightweight":[87],"predictors":[89,118,142],"alongside":[92],"applications":[93],"use":[95],"historical":[96],"RTT":[97],"data":[98],"model":[100],"performance.":[102],"We":[103],"evaluate":[104],"our":[105],"approach":[106],"using":[107],"real-world":[109],"electron":[110],"microscopy":[111],"workflow":[112],"with":[113],"diverse":[114],"requirements.":[116],"Our":[117],"achieve":[119],"prediction":[120],"accuracy":[121],"up":[122],"<tex":[124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{9":[126],"4":[127],"\\%}$</tex>":[128],"while":[129],"maintaining":[130],"low":[132],"overhead":[133],"heterogeneous":[137],"conditions.":[138],"Although":[139],"developed":[141],"not":[144],"yet":[145],"integrated":[146],"into":[147],"scheduler,":[149],"simulation":[150],"results":[151],"demonstrate":[152],"that":[153],"they":[154],"enhance":[155],"reduce":[159],"waste":[161],"by":[162],"enabling":[163],"more":[164],"informed":[165],"allocation":[166],"decisions.":[167]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-04T00:00:00"}