{"id":"https://openalex.org/W3148568294","doi":"https://doi.org/10.1109/sc.2008.5219753","title":"Analysis of application heartbeats: Learning structural and temporal features in time series data for identification of performance problems","display_name":"Analysis of application heartbeats: Learning structural and temporal features in time series data for identification of performance problems","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W3148568294","doi":"https://doi.org/10.1109/sc.2008.5219753","mag":"3148568294"},"language":"en","primary_location":{"id":"doi:10.1109/sc.2008.5219753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sc.2008.5219753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis","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/A5090160712","display_name":"Emma S. Buneci","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Emma S. Buneci","raw_affiliation_strings":["Department of Computer Science, Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008222900","display_name":"Daniel A. Reed","orcid":"https://orcid.org/0000-0001-7331-1473"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel A. Reed","raw_affiliation_strings":["Microsoft Research Limited, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Limited, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090160712"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":1.1051,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83047678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9998999834060669,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9998999834060669,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.996399998664856,"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":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8282574415206909},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6911134719848633},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5254161357879639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5138993263244629},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46421292424201965},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4332151412963867},{"id":"https://openalex.org/keywords/grid-computing","display_name":"Grid computing","score":0.4156287908554077},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40015748143196106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35953742265701294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32002657651901245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8282574415206909},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6911134719848633},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5254161357879639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5138993263244629},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46421292424201965},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4332151412963867},{"id":"https://openalex.org/C70429105","wikidata":"https://www.wikidata.org/wiki/Q249999","display_name":"Grid computing","level":3,"score":0.4156287908554077},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40015748143196106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35953742265701294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32002657651901245},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/sc.2008.5219753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sc.2008.5219753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1579694346","https://openalex.org/W1904710828","https://openalex.org/W1979053927","https://openalex.org/W2008194477","https://openalex.org/W2029607627","https://openalex.org/W2069508080","https://openalex.org/W2106946528","https://openalex.org/W2108280677","https://openalex.org/W2116680417","https://openalex.org/W2119479037","https://openalex.org/W2123408616","https://openalex.org/W2124194038","https://openalex.org/W2135069172","https://openalex.org/W2136691280","https://openalex.org/W2139123992","https://openalex.org/W2154983209","https://openalex.org/W2166378788","https://openalex.org/W2167255107","https://openalex.org/W2217101718","https://openalex.org/W2298961133","https://openalex.org/W2942827234","https://openalex.org/W3142637267","https://openalex.org/W4239875977","https://openalex.org/W4249228779","https://openalex.org/W4285719527","https://openalex.org/W6639951305","https://openalex.org/W6675464943","https://openalex.org/W6675951127"],"related_works":["https://openalex.org/W1824707887","https://openalex.org/W2068583628","https://openalex.org/W169905258","https://openalex.org/W1570043218","https://openalex.org/W3146449452","https://openalex.org/W2162684709","https://openalex.org/W2115770466","https://openalex.org/W2111726532","https://openalex.org/W1503969631","https://openalex.org/W2014322002"],"abstract_inverted_index":{"Grids":[0],"promote":[1],"new":[2],"modes":[3],"of":[4,79,86,144],"scientific":[5,107],"collaboration":[6],"and":[7,14,27,39,48,59,64,76,124,133],"discovery":[8],"by":[9,57,96],"connecting":[10],"distributed":[11],"instruments,":[12],"data":[13,43],"computing":[15],"facilities.":[16],"Because":[17],"many":[18],"resources":[19],"are":[20,71],"shared,":[21],"application":[22,54,97,135],"performance":[23,33,42,55,101,136],"can":[24],"vary":[25],"widely":[26],"unexpectedly.":[28],"We":[29],"describe":[30],"a":[31],"novel":[32],"analysis":[34],"framework":[35,51,82],"that":[36,111],"reasons":[37],"temporally":[38],"qualitatively":[40],"about":[41],"from":[44,67],"multiple":[45],"monitoring":[46],"levels":[47],"sources.":[49],"The":[50,120],"periodically":[52],"analyzes":[53],"states":[56,137],"generating":[58],"interpreting":[60],"signatures":[61,110,127],"containing":[62],"structural":[63],"temporal":[65],"features":[66],"time-series":[68],"data.":[69],"Signatures":[70],"compared":[72],"to":[73,99,122,140],"expected":[74],"behaviors":[75],"in":[77],"case":[78],"mismatches,":[80],"the":[81,142],"hints":[83],"at":[84],"causes":[85],"degraded":[87],"performance,":[88],"based":[89],"on":[90],"unexpected":[91],"behavior":[92],"characteristics":[93,114],"previously":[94],"learned":[95],"exposure":[98],"known":[100],"stress":[102],"factors.":[103],"Experiments":[104],"with":[105],"two":[106],"applications":[108],"reveal":[109],"have":[112],"distinct":[113],"during":[115],"well-performing":[116],"versus":[117],"poor-performing":[118],"executions.":[119],"ability":[121],"automatically":[123],"compactly":[125],"generate":[126],"capturing":[128],"fundamental":[129],"differences":[130],"between":[131],"good":[132],"poor":[134],"is":[138],"essential":[139],"improving":[141],"quality":[143],"service":[145],"for":[146],"Grid":[147],"applications.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-12-31T23:11:33.660297","created_date":"2025-10-10T00:00:00"}
