{"id":"https://openalex.org/W2344447357","doi":"https://doi.org/10.1109/tkde.2016.2531684","title":"A Scalable Data Chunk Similarity Based Compression Approach for Efficient Big Sensing Data Processing on Cloud","display_name":"A Scalable Data Chunk Similarity Based Compression Approach for Efficient Big Sensing Data Processing on Cloud","publication_year":2016,"publication_date":"2016-02-18","ids":{"openalex":"https://openalex.org/W2344447357","doi":"https://doi.org/10.1109/tkde.2016.2531684","mag":"2344447357"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2531684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2531684","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5101954235","display_name":"Chi Yang","orcid":"https://orcid.org/0000-0002-6770-4593"},"institutions":[{"id":"https://openalex.org/I872614749","display_name":"Unitec Institute of Technology","ror":"https://ror.org/01px84952","country_code":"NZ","type":"education","lineage":["https://openalex.org/I4387152882","https://openalex.org/I872614749"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Chi Yang","raw_affiliation_strings":["Unitec Institution of Technology, New Zealand"],"affiliations":[{"raw_affiliation_string":"Unitec Institution of Technology, New Zealand","institution_ids":["https://openalex.org/I872614749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101808353","display_name":"Jinjun Chen","orcid":"https://orcid.org/0000-0003-1677-9525"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinjun Chen","raw_affiliation_strings":["Swinburne University of Technology, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101954235"],"corresponding_institution_ids":["https://openalex.org/I872614749"],"apc_list":null,"apc_paid":null,"fwci":4.343,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94603286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"29","issue":"6","first_page":"1144","last_page":"1157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9879000186920166,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9879000186920166,"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":0.9819999933242798,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9807999730110168,"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":0.8542042970657349},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7990434169769287},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7838359475135803},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7309764623641968},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6820712089538574},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.569756805896759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46173202991485596},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4114556312561035},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.41031962633132935},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3533552289009094},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.32218435406684875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14242547750473022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8542042970657349},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7990434169769287},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7838359475135803},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7309764623641968},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6820712089538574},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.569756805896759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46173202991485596},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4114556312561035},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.41031962633132935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3533552289009094},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.32218435406684875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14242547750473022},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2016.2531684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2531684","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:6c5c5cfc-db4e-4b2d-9a42-848219d82d83/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/436518","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering, Vol. 29, no. 6 (Jun 2017), pp. 1144-1157","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G8231438625","display_name":null,"funder_award_id":"LP140100816","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1656486128","https://openalex.org/W1970225139","https://openalex.org/W1971602293","https://openalex.org/W1977367431","https://openalex.org/W1978531585","https://openalex.org/W1980981922","https://openalex.org/W2003906223","https://openalex.org/W2004001585","https://openalex.org/W2004261580","https://openalex.org/W2014238766","https://openalex.org/W2019724001","https://openalex.org/W2024404542","https://openalex.org/W2035488079","https://openalex.org/W2044936152","https://openalex.org/W2065180054","https://openalex.org/W2066982892","https://openalex.org/W2081416313","https://openalex.org/W2082945266","https://openalex.org/W2110173188","https://openalex.org/W2114296561","https://openalex.org/W2121142115","https://openalex.org/W2135054431","https://openalex.org/W2136559714","https://openalex.org/W2139646386","https://openalex.org/W2150502657","https://openalex.org/W2153977620","https://openalex.org/W2154797012","https://openalex.org/W2155909634","https://openalex.org/W2160607652","https://openalex.org/W2160822433","https://openalex.org/W2289256326","https://openalex.org/W3166250303","https://openalex.org/W6644757429"],"related_works":["https://openalex.org/W1130177354","https://openalex.org/W3184571894","https://openalex.org/W2790848693","https://openalex.org/W2479145525","https://openalex.org/W2274254580","https://openalex.org/W3003885743","https://openalex.org/W3082033755","https://openalex.org/W3027347889","https://openalex.org/W2122395733","https://openalex.org/W3154145749"],"abstract_inverted_index":{"Big":[0],"sensing":[1,30,54,75,158],"data":[2,14,31,55,62,78,87,93,101,111,117,126,131,159,174,180,185],"is":[3,15,142],"prevalent":[4],"in":[5,48],"both":[6],"industry":[7],"and":[8,20,33,45,71,84,136],"scientific":[9],"research":[10],"applications":[11],"where":[12],"the":[13,68,109,119,167],"generated":[16],"with":[17,183],"high":[18,69],"volume":[19,70],"velocity.":[21],"Cloud":[22,58],"computing":[23],"provides":[24,37],"a":[25,38,49,98],"promising":[26],"platform":[27],"for":[28,86,144],"big":[29,53,74,157],"processing":[32,56],"storage":[34],"as":[35],"it":[36],"flexible":[39],"stack":[40],"of":[41,73,114],"massive":[42],"computing,":[43],"storage,":[44],"software":[46],"services":[47],"scalable":[50,100,169],"manner.":[51],"Current":[52],"on":[57,90,105,151,161,173],"have":[59],"adopted":[60],"some":[61,133],"compression":[63,79,94,102,120,170,181],"techniques.":[64],"However,":[65],"due":[66],"to":[67,147],"velocity":[72],"data,":[76],"traditional":[77],"techniques":[80],"lack":[81],"sufficient":[82],"efficiency":[83,182],"scalability":[85,150],"processing.":[88],"Based":[89],"specific":[91],"on-Cloud":[92],"requirements,":[95],"we":[96,164],"propose":[97],"novel":[99],"approach":[103,171],"based":[104,172],"calculating":[106],"similarity":[107,176],"among":[108],"partitioned":[110,125],"chunks.":[112,127],"Instead":[113],"compressing":[115],"basic":[116],"units,":[118],"will":[121,138],"be":[122,139],"conducted":[123],"over":[124],"To":[128],"restore":[129],"original":[130],"sets,":[132],"restoration":[134],"functions":[135],"predictions":[137],"designed.":[140],"MapReduce":[141],"used":[143],"algorithm":[145],"implementation":[146],"achieve":[148],"extra":[149],"Cloud.":[152],"With":[153],"real":[154],"world":[155],"meteorological":[156],"experiments":[160],"U-Cloud":[162],"platform,":[163],"demonstrate":[165],"that":[166],"proposed":[168],"chunk":[175],"can":[177],"significantly":[178],"improve":[179],"affordable":[184],"accuracy":[186],"loss.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}