{"id":"https://openalex.org/W2549264933","doi":"https://doi.org/10.1109/access.2016.2631549","title":"Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications","display_name":"Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2549264933","doi":"https://doi.org/10.1109/access.2016.2631549","mag":"2549264933"},"language":"en","primary_location":{"id":"doi:10.1109/access.2016.2631549","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2631549","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2016.2631549","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077314174","display_name":"Kamran Siddique","orcid":"https://orcid.org/0000-0003-2286-1728"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kamran Siddique","raw_affiliation_strings":["Dongguk University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056705041","display_name":"Zahid Akhtar","orcid":"https://orcid.org/0000-0002-5026-5416"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zahid Akhtar","raw_affiliation_strings":["INRS-EMT, University of Quebec, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, University of Quebec, Montreal, QC, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103951812","display_name":"Edward J. Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Edward J. Yoon","raw_affiliation_strings":["Artificial Intelligence Team, Samsung Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Team, Samsung Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018440291","display_name":"Young\u2010Sik Jeong","orcid":"https://orcid.org/0000-0002-7421-1105"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Sik Jeong","raw_affiliation_strings":["Dongguk University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111370894","display_name":"Dipankar Dasgupta","orcid":null},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dipankar Dasgupta","raw_affiliation_strings":["University of Memphis, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052094063","display_name":"Yangwoo Kim","orcid":"https://orcid.org/0000-0002-4038-3267"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yangwoo Kim","raw_affiliation_strings":["Dongguk University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077314174"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":14.5968,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.98821971,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"4","issue":null,"first_page":"8879","last_page":"8887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9994999766349792,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9984999895095825,"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":0.8222231864929199},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7599582672119141},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7492879033088684},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.613858163356781},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49983930587768555},{"id":"https://openalex.org/keywords/data-intensive-computing","display_name":"Data-intensive computing","score":0.49202224612236023},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4720478951931},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.4278717339038849},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.41327643394470215},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3748282790184021},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2970541715621948},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2659473419189453},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2053312063217163},{"id":"https://openalex.org/keywords/grid-computing","display_name":"Grid computing","score":0.148307204246521},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.141506165266037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222231864929199},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7599582672119141},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7492879033088684},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.613858163356781},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49983930587768555},{"id":"https://openalex.org/C76831024","wikidata":"https://www.wikidata.org/wiki/Q5227096","display_name":"Data-intensive computing","level":4,"score":0.49202224612236023},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4720478951931},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.4278717339038849},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.41327643394470215},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3748282790184021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2970541715621948},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2659473419189453},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2053312063217163},{"id":"https://openalex.org/C70429105","wikidata":"https://www.wikidata.org/wiki/Q249999","display_name":"Grid computing","level":3,"score":0.148307204246521},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.141506165266037},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2016.2631549","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2631549","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a6b19da43b247faa078acb75b2bed3c","is_oa":true,"landing_page_url":"https://doaj.org/article/7a6b19da43b247faa078acb75b2bed3c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 4, Pp 8879-8887 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2016.2631549","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2631549","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5075858215","display_name":null,"funder_award_id":"IITP-2016-(H8501-16-1015)","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1485408073","https://openalex.org/W1901616594","https://openalex.org/W1967617721","https://openalex.org/W2012915974","https://openalex.org/W2015526606","https://openalex.org/W2045271686","https://openalex.org/W2057301797","https://openalex.org/W2057923756","https://openalex.org/W2061192597","https://openalex.org/W2080752853","https://openalex.org/W2105947650","https://openalex.org/W2112651225","https://openalex.org/W2117282595","https://openalex.org/W2121456247","https://openalex.org/W2131151640","https://openalex.org/W2149071703","https://openalex.org/W2157954477","https://openalex.org/W2164278908","https://openalex.org/W2170616854","https://openalex.org/W2190012392","https://openalex.org/W2286526003","https://openalex.org/W2399595210","https://openalex.org/W4292363360","https://openalex.org/W6677839623"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2332154702","https://openalex.org/W2913734363","https://openalex.org/W2794953737"],"abstract_inverted_index":{"In":[0,80],"today\u2019s":[1],"highly":[2],"intertwined":[3],"network":[4],"society,":[5],"the":[6,32,37,51,101,128],"demand":[7],"for":[8],"big":[9,22,77],"data":[10,23,78],"processing":[11],"frameworks":[12],"is":[13,24,105],"continuously":[14],"growing.":[15],"The":[16,61,97],"widely":[17],"adopted":[18],"model":[19],"to":[20,126,133,148],"process":[21],"parallel":[25,59],"and":[26,64,74,91,113,151],"distributed":[27,40],"computing.":[28],"This":[29,139],"paper":[30,70,140],"documents":[31],"significant":[33],"progress":[34],"achieved":[35],"in":[36,68,76,109],"field":[38],"of":[39,87,103,111,122,131],"computing":[41],"frameworks,":[42],"particularly":[43],"Apache":[44,52,92],"Hama,":[45],"a":[46,84,120],"top":[47],"level":[48],"project":[49],"under":[50],"Software":[53],"Foundation,":[54],"based":[55],"on":[56],"bulk":[57],"synchronous":[58],"processing.":[60],"comparative":[62],"studies":[63],"empirical":[65],"evaluations":[66],"performed":[67],"this":[69],"reveal":[71],"Hama\u2019s":[72,88],"potential":[73,130],"efficacy":[75],"applications.":[79],"particular,":[81],"we":[82],"present":[83],"benchmark":[85],"evaluation":[86],"graph":[89],"package":[90],"Giraph":[93,108],"using":[94],"PageRank":[95],"algorithm.":[96],"results":[98],"show":[99],"that":[100],"performance":[102],"Hama":[104,132],"better":[106],"than":[107],"terms":[110],"scalability":[112],"computational":[114],"speed.":[115],"However,":[116],"despite":[117],"great":[118],"progress,":[119],"number":[121],"challenging":[123],"issues":[124],"continue":[125],"inhibit":[127],"full":[129],"be":[134],"used":[135],"at":[136],"large":[137],"scale.":[138],"also":[141],"describes":[142],"these":[143],"challenges,":[144],"analyzes":[145],"solutions":[146],"proposed":[147],"overcome":[149],"them,":[150],"highlights":[152],"research":[153],"opportunities.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
