{"id":"https://openalex.org/W4412477325","doi":"https://doi.org/10.1145/3701717.3730544","title":"FEDAMON: A Forecast-Based, Error-Bounded and Data-Aware Approach to Continuous Distributed Monitoring","display_name":"FEDAMON: A Forecast-Based, Error-Bounded and Data-Aware Approach to Continuous Distributed Monitoring","publication_year":2025,"publication_date":"2025-06-09","ids":{"openalex":"https://openalex.org/W4412477325","doi":"https://doi.org/10.1145/3701717.3730544"},"language":"en","primary_location":{"id":"doi:10.1145/3701717.3730544","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701717.3730544","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701717.3730544","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701717.3730544","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yixing Zhang","orcid":"https://orcid.org/0009-0002-7775-1139"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]},{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yixing Zhang","raw_affiliation_strings":["Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0009-0002-7775-1139","affiliations":[{"raw_affiliation_string":"Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912","https://openalex.org/I881427289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050085800","display_name":"Romaric Duvignau","orcid":"https://orcid.org/0000-0003-1268-9311"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]},{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Romaric Duvignau","raw_affiliation_strings":["Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-1268-9311","affiliations":[{"raw_affiliation_string":"Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912","https://openalex.org/I881427289"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66862912","https://openalex.org/I881427289"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18393934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9922000169754028,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9922000169754028,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.7140107154846191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7088685631752014},{"id":"https://openalex.org/keywords/forecast-error","display_name":"Forecast error","score":0.4205559194087982},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3345584273338318},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.16233009099960327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11265730857849121}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.7140107154846191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088685631752014},{"id":"https://openalex.org/C174303752","wikidata":"https://www.wikidata.org/wiki/Q3624438","display_name":"Forecast error","level":2,"score":0.4205559194087982},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3345584273338318},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.16233009099960327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11265730857849121},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701717.3730544","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701717.3730544","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701717.3730544","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701717.3730544","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701717.3730544","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701717.3730544","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6499999761581421,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412477325.pdf","grobid_xml":"https://content.openalex.org/works/W4412477325.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W10311529","https://openalex.org/W292716351","https://openalex.org/W958993015","https://openalex.org/W1575344233","https://openalex.org/W1987738849","https://openalex.org/W1995279652","https://openalex.org/W1997642935","https://openalex.org/W2012299525","https://openalex.org/W2046089875","https://openalex.org/W2070762331","https://openalex.org/W2099708664","https://openalex.org/W2100086436","https://openalex.org/W2100766019","https://openalex.org/W2134743705","https://openalex.org/W2135053460","https://openalex.org/W2153259545","https://openalex.org/W2156632255","https://openalex.org/W2168720188","https://openalex.org/W2343448572","https://openalex.org/W2462564608","https://openalex.org/W2802979698","https://openalex.org/W2887221547","https://openalex.org/W2942939809","https://openalex.org/W2953064086","https://openalex.org/W2963065988","https://openalex.org/W3034589260","https://openalex.org/W3159454019","https://openalex.org/W3195116950","https://openalex.org/W4243487511","https://openalex.org/W4255163160","https://openalex.org/W4321203758","https://openalex.org/W4400277459"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Efficiently":[0],"monitoring":[1,22,37,81,132,156,245],"distributed":[2,36,49,92],"systems":[3],"is":[4,135],"critical":[5],"for":[6],"applications":[7],"such":[8],"as":[9],"data":[10,115],"center":[11],"load":[12],"balancing,":[13],"fleet":[14],"management,":[15],"and":[16,58,91,131,140,238],"smart":[17],"grid":[18],"energy":[19],"optimization.Traditional":[20],"continuous":[21,35],"solutions":[23],"often":[24],"require":[25],"significant":[26],"communication":[27,64,129,147,158,202,230],"overhead,":[28],"straining":[29],"network":[30],"resources.This":[31],"paper":[32],"addresses":[33],"the":[34,76,89,95,126,190,210],"problem,":[38],"where":[39],"a":[40,54,105,119,143,198,218,236],"central":[41,77],"coordinator":[42,90],"needs":[43],"to":[44,75,110,197,217],"track":[45],"statistics":[46],"from":[47],"numerous":[48],"nodes":[50,93],"in":[51,114,146,201,213,221],"real-time.We":[52],"propose":[53],"novel":[55],"forecast-based,":[56],"error-bounded,":[57],"data-aware":[59,120,214],"approach":[60,215,234],"that":[61,124,183],"significantly":[62],"reduces":[63],"costs":[65],"while":[66,170],"maintaining":[67,171],"accurate":[68],"monitoring.Instead":[69],"of":[70,97,166],"transmitting":[71],"all":[72,178],"observed":[73],"values":[74],"coordinator,":[78],"our":[79,184,233],"event-based":[80],"leverages":[82],"lightweight":[83],"forecasting":[84],"models":[85],"at":[86],"edge":[87],"nodes.Both":[88],"predict":[94],"evolution":[96],"local":[98],"values,":[99],"communicating":[100],"only":[101,164],"when":[102],"deviations":[103],"exceed":[104],"predefined":[106],"error":[107,176,224],"threshold.To":[108],"adapt":[109],"dynamically":[111],"changing":[112],"trends":[113],"streams,":[116],"we":[117,181],"introduce":[118],"model":[121],"selection":[122],"strategy":[123],"optimizes":[125],"balance":[127],"between":[128],"frequency":[130],"accuracy.Our":[133],"solution":[134,187],"evaluated":[136],"on":[137,152,162,207],"diverse":[138],"datasets":[139],"results":[141],"demonstrate":[142],"substantial":[144],"reduction":[145],"overhead":[148,203],"with":[149,204,246],"minimal":[150],"impacts":[151],"accuracy,":[153],"outperforming":[154],"baseline":[155,167],"regarding":[157],"complexity,":[159],"e.g.,":[160],"sending,":[161],"average,":[163],"10%":[165],"update":[168],"events":[169],"less":[172],"than":[173],"2%":[174],"average":[175],"across":[177],"monitored":[179],"streams.Furthermore,":[180],"show":[182],"standard":[185],"parameter":[186],"even":[188],"surpasses":[189],"best":[191],"calibrated":[192],"single":[193],"models,":[194],"achieving":[195],"up":[196],"17%":[199],"improvement":[200,220],"identical":[205],"guarantees":[206],"maximum":[208],"error.Optimizing":[209],"control":[211],"factor":[212],"leads":[216],"13%":[219],"performance,":[222],"reducing":[223],"by":[225],"1%,":[226],"without":[227],"incurring":[228],"additional":[229],"costs.We":[231],"believe":[232],"offers":[235],"scalable":[237],"efficient":[239],"solution,":[240],"enabling":[241],"fully":[242],"automatic,":[243],"real-time":[244],"optimized":[247],"performance.":[248]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}