{"id":"https://openalex.org/W6941077386","doi":"https://doi.org/10.11588/heidok.00024682","title":"Optimising the data-collection time of a large-scale data-acquisition system","display_name":"Optimising the data-collection time of a large-scale data-acquisition system","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W6941077386","doi":"https://doi.org/10.11588/heidok.00024682"},"language":"en","primary_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:24682","is_oa":true,"landing_page_url":null,"pdf_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/24682/1/dissertation.pdf","source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/24682/1/dissertation.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Colombo, Tommaso","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Colombo, Tommaso","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47244406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.5271999835968018,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.5271999835968018,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.1315000057220459,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10825","display_name":"Plant Pathogens and Fungal Diseases","score":0.03759999945759773,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/petabyte","display_name":"Petabyte","score":0.6725000143051147},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5971999764442444},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5005999803543091},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48399999737739563},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4131999909877777},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.38260000944137573}],"concepts":[{"id":"https://openalex.org/C13600138","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Petabyte","level":3,"score":0.6725000143051147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671000123023987},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5971999764442444},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.51910001039505},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.453000009059906},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4131999909877777},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C2988402297","wikidata":"https://www.wikidata.org/wiki/Q65558817","display_name":"Data reliability","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.2687999904155731}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:24682","is_oa":true,"landing_page_url":null,"pdf_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/24682/1/dissertation.pdf","source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"doi:10.11588/heidok.00024682","is_oa":true,"landing_page_url":"https://doi.org/10.11588/heidok.00024682","pdf_url":null,"source":{"id":"https://openalex.org/S7407051545","display_name":"University Library Heidelberg","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:24682","is_oa":true,"landing_page_url":null,"pdf_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/24682/1/dissertation.pdf","source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6941077386.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data-acquisition":[0],"systems":[1,32,49],"are":[2,50,121,287,338,376],"a":[3,76,82,98,105,130,138,142,180,200,269,293,330,390,409],"fundamental":[4],"component":[5],"of":[6,16,21,26,47,55,66,133,192,202,210,217,233,259,272,283,292,297,367,394,402],"modern":[7],"scientific":[8,68],"experiments.":[9],"Large-scale":[10],"experiments,":[11],"particularly":[12,106],"in":[13,63,129,156,302,329,380,389],"the":[14,53,56,64,87,134,160,182,186,190,206,211,215,218,226,231,234,237,250,252,257,273,290,298,313,326,333,384,395,403],"field":[15],"particle":[17],"physics,":[18],"comprise":[19],"millions":[20],"sensors":[22,93],"and":[23,36,45,60,149,247,310,361,370,379],"produce":[24],"petabytes":[25],"data":[27,73,89,115,219,264],"per":[28],"day.":[29],"Their":[30],"data-acquisition":[31,143,157,195,208,300,331],"digitise,":[33],"collect,":[34],"filter,":[35],"store":[37],"experimental":[38],"signals":[39],"for":[40,110,324],"later":[41],"analysis.":[42],"The":[43,340],"performance":[44,59,196,281],"reliability":[46],"these":[48],"critical":[51],"to":[52,114,152,225,276,317,321],"operation":[54],"experiment:":[57],"insufficient":[58],"failures":[61],"result":[62,388],"loss":[65],"valuable":[67],"data.&#13;\\n&#13;\\nBy":[69],"its":[70,91,284],"very":[71,391],"nature,":[72],"acquisition":[74],"is":[75,84,197,245,315,342],"synchronous":[77],"many-to-one":[78],"operation:":[79],"every":[80],"time":[81],"phenomenon":[83,328],"observed":[85],"by":[86,222,289],"experiment,":[88,177],"from":[90],"various":[92,336],"must":[94],"be":[95,318,322,351],"assembled":[96],"into":[97],"single":[99],"coherent":[100],"dataset.":[101],"This":[102,266],"characteristic":[103],"yields":[104],"challenging":[107],"traffic":[108,412],"pattern":[109],"computer":[111],"networks":[112],"dedicated":[113],"acquisition.":[116],"If":[117],"no":[118],"corrective":[119],"measures":[120],"taken,":[122],"this":[123],"pattern,":[124],"known":[125],"as":[126,179],"incast,":[127,277],"results":[128],"significant":[131,392],"underutilisation":[132],"network":[135,154,235,301,372,411],"resources,":[136],"with":[137,408],"direct":[139],"impact":[140,191],"on":[141,173,194,205,344,353],"systems'":[144],"throughput.&#13;\\n&#13;\\nThis":[145],"thesis":[146],"presents":[147],"effective":[148,243],"feasible":[150],"approaches":[151],"maximising":[153],"utilisation":[155],"systems,":[158],"avoiding":[159],"incast":[161,193,327],"problem":[162],"without":[163],"sacrificing":[164],"throughput.":[165],"Rather":[166],"than":[167],"using":[168],"abstract":[169],"models,":[170],"it":[171],"focuses":[172],"an":[174,303],"existing":[175,356],"large-scale":[176],"used":[178,323],"case-study:":[181],"ATLAS":[183,212,299],"detector":[184],"at":[185,249],"Large":[187],"Hadron":[188],"Collider.&#13;\\n&#13;\\nFirst,":[189],"characterised":[198],"through":[199],"series":[201],"measurements":[203,309],"performed":[204],"actual":[207],"system":[209],"experiment.":[213],"As":[214],"size":[216,232],"sent":[220],"synchronously":[221],"multiple":[223],"sources":[224],"same":[227],"destination":[228],"grows":[229],"past":[230],"buffers,":[236],"throughput":[238,274],"falls.":[239],"A":[240],"simple":[241],"but":[242,278],"mitigation":[244],"proposed":[246],"tested:":[248],"application-layer,":[251],"data-collection":[253],"receivers":[254],"can":[255,349],"limit":[256],"number":[258],"senders":[260],"they":[261],"simultaneously":[262],"collect":[263],"from.":[265],"solution":[267],"recovers":[268],"large":[270],"part":[271],"lost":[275],"introduces":[279],"some":[280],"losses":[282],"own.&#13;\\n&#13;\\nFurther":[285],"investigations":[286],"enabled":[288],"development":[291],"complete":[294],"packet-level":[295],"model":[296,314],"event-based":[304],"simulation":[305,311,334],"framework.":[306],"Comparing":[307],"real-world":[308],"results,":[312],"shown":[316],"accurate":[319],"enough":[320],"studying":[325],"system.&#13;\\n&#13;\\nLeveraging":[332],"model,":[335],"optimisations":[337],"analysed.":[339],"focus":[341],"kept":[343],"practical":[345],"software":[346],"changes,":[347],"that":[348],"realistically":[350],"deployed":[352],"otherwise":[354],"unmodified":[355],"systems.":[357],"Receiver-side":[358],"traffic-shaping,":[359],"incast-":[360],"traffic-shaping-aware":[362],"work":[363],"scheduling":[364,375],"policies,":[365],"tuning":[366],"TCP's":[368],"timeouts,":[369],"centralised":[371],"packet":[373],"injection":[374],"evaluated":[377],"alone":[378],"combination.":[381],"Used":[382],"together,":[383],"first":[385],"three":[386],"techniques":[387],"increase":[393],"system's":[396],"throughput,":[397],"which":[398],"gets":[399],"within":[400],"10%":[401],"ideal":[404],"maximum":[405],"performance,":[406],"even":[407],"high":[410],"load.":[413]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
