{"id":"https://openalex.org/W4408869382","doi":"https://doi.org/10.1145/3689031.3696100","title":"Moko: Marrying Python with Big Data Systems","display_name":"Moko: Marrying Python with Big Data Systems","publication_year":2025,"publication_date":"2025-03-26","ids":{"openalex":"https://openalex.org/W4408869382","doi":"https://doi.org/10.1145/3689031.3696100"},"language":"en","primary_location":{"id":"doi:10.1145/3689031.3696100","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3689031.3696100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth European Conference on Computer Systems","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/A5100650527","display_name":"Ke Meng","orcid":"https://orcid.org/0000-0002-3629-7892"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ke Meng","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101880370","display_name":"Tao He","orcid":"https://orcid.org/0009-0007-7687-7342"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao He","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064079330","display_name":"Sijie Shen","orcid":"https://orcid.org/0000-0003-4650-7352"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sijie Shen","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855658","display_name":"Lei Wang","orcid":"https://orcid.org/0009-0001-7535-452X"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018856303","display_name":"Wenyuan Yu","orcid":"https://orcid.org/0009-0006-5641-2452"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyuan Yu","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943530","display_name":"Jingren Zhou","orcid":"https://orcid.org/0000-0001-6851-1366"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingren Zhou","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100650527"],"corresponding_institution_ids":["https://openalex.org/I4210095624"],"apc_list":null,"apc_paid":null,"fwci":2.5568,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88375344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9940999746322632,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/python","display_name":"Python (programming language)","score":0.7652040719985962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6623028516769409},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4225453734397888},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4100757837295532},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.22413572669029236}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7652040719985962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6623028516769409},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4225453734397888},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4100757837295532},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.22413572669029236}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3689031.3696100","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3689031.3696100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth European Conference on Computer Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W1517684295","https://openalex.org/W2010714123","https://openalex.org/W2010920360","https://openalex.org/W2038157364","https://openalex.org/W2053076698","https://openalex.org/W2068015060","https://openalex.org/W2101196063","https://openalex.org/W2119738171","https://openalex.org/W2124011064","https://openalex.org/W2170616854","https://openalex.org/W2173213060","https://openalex.org/W2175075972","https://openalex.org/W2296407087","https://openalex.org/W2340222647","https://openalex.org/W2432978112","https://openalex.org/W2542459869","https://openalex.org/W2570373436","https://openalex.org/W2573911191","https://openalex.org/W2582789036","https://openalex.org/W2785726556","https://openalex.org/W2789599444","https://openalex.org/W2807799957","https://openalex.org/W2809559041","https://openalex.org/W2889140904","https://openalex.org/W2914189542","https://openalex.org/W2970105940","https://openalex.org/W2981859891","https://openalex.org/W3001851942","https://openalex.org/W3002820667","https://openalex.org/W3013652274","https://openalex.org/W3015614227","https://openalex.org/W3086105743","https://openalex.org/W3099929288","https://openalex.org/W3121932930","https://openalex.org/W3129800153","https://openalex.org/W3142650592","https://openalex.org/W3175890395","https://openalex.org/W3196829622","https://openalex.org/W4235817903","https://openalex.org/W4255327858","https://openalex.org/W4285451014","https://openalex.org/W4363671823","https://openalex.org/W4381329706"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W2207495067","https://openalex.org/W1906486629"],"abstract_inverted_index":{"Python":[0,36,113],"stands":[1],"as":[2,29,77],"the":[3,63],"preferred":[4],"language":[5],"for":[6,93],"data":[7,24,40,49,66,95,123],"science,":[8],"thanks":[9],"to":[10,44,58,117],"its":[11],"user-friendly":[12],"syntax":[13],"and":[14,26,33,81,91,97,128],"a":[15,21,103],"robust":[16],"ecosystem":[17],"that":[18,71,109],"effortlessly":[19],"accommodates":[20],"variety":[22],"of":[23,89],"types":[25,96],"workloads,":[27],"such":[28,76],"relational/tabular":[30],"data,":[31],"tensors,":[32],"graphs.":[34],"While":[35],"thrives":[37],"in":[38,46,102],"smaller":[39],"settings,":[41],"it":[42],"struggles":[43],"scale":[45],"distributed":[47,64,104],"big":[48,65],"environments.":[50],"MOKO":[51,110],"is":[52],"an":[53],"IR-based":[54],"execution":[55,101],"framework":[56],"designed":[57],"extend":[59],"Python's":[60,85],"reach":[61],"into":[62],"domain":[67],"by":[68,115,126,132],"generating":[69],"code":[70],"can":[72,111],"utilize":[73],"existing":[74],"systems":[75],"Spark,":[78],"Dask,":[79],"Torch,":[80],"GRAPE.":[82],"Moko":[83],"preserves":[84],"key":[86],"features---interoperability,":[87],"ease":[88],"use,":[90],"support":[92],"multi-model":[94],"workloads---while":[98],"enabling":[99],"efficient":[100],"setting.":[105],"Our":[106],"evaluation":[107],"indicates":[108],"accelerate":[112],"applications":[114],"up":[116],"11\u00d7":[118],"across":[119],"diverse":[120],"systems,":[121],"diminish":[122],"alignment":[124],"overhead":[125],"28\u00d7,":[127],"outperform":[129],"hand-optimized":[130],"solutions":[131],"2.5\u00d7.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}