{"id":"https://openalex.org/W2916518612","doi":"https://doi.org/10.1109/cahpc.2018.8645940","title":"Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources","display_name":"Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2916518612","doi":"https://doi.org/10.1109/cahpc.2018.8645940","mag":"2916518612"},"language":"en","primary_location":{"id":"doi:10.1109/cahpc.2018.8645940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cahpc.2018.8645940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)","raw_type":"proceedings-article"},"type":"article","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/A5012614401","display_name":"Ali Zamani","orcid":"https://orcid.org/0000-0002-9368-7328"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Reza Zamani","raw_affiliation_strings":["Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023702436","display_name":"Daniel Balouek\u2010Thomert","orcid":"https://orcid.org/0000-0001-6038-1077"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Balouek-Thomert","raw_affiliation_strings":["Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086752323","display_name":"J. J. Villalobos","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. J. Villalobos","raw_affiliation_strings":["Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089439166","display_name":"Iv\u00e1n Rodero","orcid":"https://orcid.org/0000-0002-0675-6728"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivan Rodero","raw_affiliation_strings":["Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060153432","display_name":"Manish Parashar","orcid":"https://orcid.org/0000-0003-0983-7408"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manish Parashar","raw_affiliation_strings":["Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers Discovery Informatics Institute (RDI2), Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012614401"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.4976,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83039648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"274","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9980000257492065,"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":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8496498465538025},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7518045902252197},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5630251169204712},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5006439685821533},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.49884700775146484},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.49671393632888794},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4660284221172333},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4478033781051636},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4234864413738251},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.4101177453994751},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3651900291442871},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3556177616119385},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3478667736053467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17997801303863525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8496498465538025},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7518045902252197},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5630251169204712},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5006439685821533},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.49884700775146484},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.49671393632888794},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4660284221172333},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4478033781051636},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4234864413738251},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.4101177453994751},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3651900291442871},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3556177616119385},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3478667736053467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17997801303863525},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cahpc.2018.8645940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cahpc.2018.8645940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1991211101","https://openalex.org/W2005380621","https://openalex.org/W2052598901","https://openalex.org/W2059377739","https://openalex.org/W2122145654","https://openalex.org/W2125599626","https://openalex.org/W2128763459","https://openalex.org/W2142096121","https://openalex.org/W2151299342","https://openalex.org/W2151975141","https://openalex.org/W2154468618","https://openalex.org/W2154666090","https://openalex.org/W2161969291","https://openalex.org/W2521236993","https://openalex.org/W2542459869","https://openalex.org/W2573431649","https://openalex.org/W2616870332","https://openalex.org/W2677041581","https://openalex.org/W2792951724","https://openalex.org/W2913854892","https://openalex.org/W4238637479","https://openalex.org/W4285719527","https://openalex.org/W6651834173","https://openalex.org/W6678916235","https://openalex.org/W6732020699"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2019038080","https://openalex.org/W2893963003"],"abstract_inverted_index":{"Modern":[0],"Cyberinfrastructures":[1],"(CIs)":[2],"operate":[3],"to":[4,21,50,52,116],"bring":[5],"content":[6],"produced":[7],"from":[8],"remote":[9],"data":[10,28,32,112,134,143,161],"sources":[11],"such":[12,63],"as":[13],"sensors":[14],"and":[15,18,24,30,42,77,86,130,152],"scientific":[16],"instruments":[17],"deliver":[19],"it":[20],"end":[22],"users":[23,118],"workflow":[25,96],"applications.":[26],"Maintaining":[27],"quality/resolution":[29],"on-time":[31],"delivery":[33,129],"while":[34],"considering":[35,81],"an":[36],"increasing":[37],"number":[38],"of":[39,62,70,75,95,132,149],"computing,":[40],"storage":[41],"network":[43],"resources":[44,71,125],"requires":[45],"a":[46,60,105,141],"reactive":[47],"system,":[48],"able":[49],"adapt":[51],"changing":[53],"demands.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"propose":[59,104],"modelization":[61],"system":[64],"by":[65,119],"expressing":[66],"the":[67,73,111,117,124,128,133],"dynamic":[68],"stage":[69],"in":[72,127,167],"context":[74],"edge":[76],"in-transit":[78],"computing.":[79],"By":[80],"resource":[82],"utilization,":[83],"approximation":[84],"techniques":[85],"users'":[87],"constraints,":[88],"our":[89,138],"proposed":[90],"engine":[91],"is":[92],"generating":[93],"mappings":[94],"stages":[97],"on":[98],"heterogeneous":[99],"geo-distributed":[100],"resources.":[101],"We":[102,136],"specifically":[103],"runtime":[106],"management":[107],"layer":[108],"that":[109,158],"adapts":[110],"resolution":[113,162],"being":[114],"delivered":[115],"implementing":[120],"feedback":[121],"loops":[122],"over":[123],"involved":[126],"processing":[131],"streams.":[135],"implement":[137],"model":[139],"into":[140],"subscription-based":[142],"streaming":[144,170],"framework":[145],"which":[146],"enables":[147],"integration":[148],"large":[150],"facilities":[151],"advanced":[153],"CIs.":[154],"Experimental":[155],"results":[156],"show":[157],"dynamically":[159],"adapting":[160],"can":[163],"overcome":[164],"bandwidth":[165],"limitation":[166],"wide":[168],"area":[169],"analytics.":[171]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
