{"id":"https://openalex.org/W2612356169","doi":"https://doi.org/10.1145/3035918.3056440","title":"Optimizing Data-Intensive Applications Automatically By Leveraging Parallel Data Processing Frameworks","display_name":"Optimizing Data-Intensive Applications Automatically By Leveraging Parallel Data Processing Frameworks","publication_year":2017,"publication_date":"2017-05-09","ids":{"openalex":"https://openalex.org/W2612356169","doi":"https://doi.org/10.1145/3035918.3056440","mag":"2612356169"},"language":"en","primary_location":{"id":"doi:10.1145/3035918.3056440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3035918.3056440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM International Conference on Management of Data","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/A5041364880","display_name":"M Ahmad","orcid":"https://orcid.org/0000-0002-8113-7580"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maaz Bin Safeer Ahmad","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059427197","display_name":"Alvin Cheung","orcid":"https://orcid.org/0000-0001-6261-6263"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alvin Cheung","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041364880"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.4506,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59137993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1675","last_page":"1678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9980000257492065,"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":0.9958000183105469,"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":0.9072015285491943},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.7137325406074524},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.541230320930481},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5190637707710266},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.48705437779426575},{"id":"https://openalex.org/keywords/scala","display_name":"Scala","score":0.41867581009864807},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.346806138753891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13041892647743225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9072015285491943},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.7137325406074524},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.541230320930481},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5190637707710266},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.48705437779426575},{"id":"https://openalex.org/C109701466","wikidata":"https://www.wikidata.org/wiki/Q460584","display_name":"Scala","level":3,"score":0.41867581009864807},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.346806138753891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13041892647743225}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3035918.3056440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3035918.3056440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G1515542360","display_name":null,"funder_award_id":"CNS-1563788","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4806205923","display_name":null,"funder_award_id":"IIS-1546083","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1541631323","https://openalex.org/W1970165929","https://openalex.org/W2040943118","https://openalex.org/W2108762098","https://openalex.org/W2130427425","https://openalex.org/W2149783797","https://openalex.org/W2173213060","https://openalex.org/W2294286398","https://openalex.org/W2409856616","https://openalex.org/W2412440871","https://openalex.org/W2556618900","https://openalex.org/W2987907651","https://openalex.org/W3146075203"],"related_works":["https://openalex.org/W2763674625","https://openalex.org/W4232952072","https://openalex.org/W4252019479","https://openalex.org/W3040669356","https://openalex.org/W2844620057","https://openalex.org/W2337519567","https://openalex.org/W2548921709","https://openalex.org/W4252076541","https://openalex.org/W2620395718","https://openalex.org/W2950624501"],"abstract_inverted_index":{"In":[0,87],"this":[1],"demonstration":[2],"we":[3,91],"will":[4,92,119],"showcase":[5],"CASPER,":[6],"a":[7],"novel":[8],"tool":[9],"that":[10],"enables":[11],"sequential":[12,47,97,117],"data-intensive":[13],"programs":[14,48,102],"to":[15,31,54,82,95,127,131],"automatically":[16,45,80],"leverage":[17],"the":[18,33,55,70,115,125,129,134],"optimizations":[19],"provided":[20],"by":[21],"parallel":[22],"data":[23,39,100],"processing":[24,40,107],"frameworks.":[25,62],"The":[26,109],"goal":[27],"of":[28,37,60,73,99],"CASPER":[29,94],"is":[30],"reduce":[32],"inertia":[34],"against":[35],"adaptation":[36],"new":[38],"frameworks---particularly":[41],"for":[42],"non-expert":[43],"users---by":[44],"re-writing":[46],"written":[49],"in":[50,139],"general":[51],"purpose":[52],"languages":[53],"high-level":[56],"DSLs":[57],"or":[58],"APIs":[59],"these":[61],"Through":[63],"CASPER's":[64],"browser-based":[65],"interface,":[66],"users":[67],"can":[68],"enter":[69],"source":[71],"code":[72],"their":[74],"Java":[75],"applications":[76],"and":[77,137],"have":[78],"it":[79],"retargeted":[81],"execute":[83],"on":[84,124],"Apache":[85],"Spark.":[86],"our":[88],"interactive":[89],"presentation,":[90],"use":[93],"optimize":[96],"implementations":[98,112,118],"visualization":[101],"as":[103,105],"well":[104],"image":[106],"kernels.":[108],"optimized":[110],"Spark":[111],"along":[113],"with":[114],"original":[116],"then":[120],"be":[121],"executed":[122],"simultaneously":[123],"cloud":[126],"allow":[128],"demo":[130],"audience":[132],"compare":[133],"runtime":[135],"performances":[136],"outputs":[138],"real-time.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}