{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T18:30:49Z","timestamp":1729621849716,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/bigdata.2017.8258196","type":"proceedings-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T22:47:28Z","timestamp":1516056448000},"page":"2402-2407","source":"Crossref","is-referenced-by-count":4,"title":["Towards a unified storage and ingestion architecture for stream processing"],"prefix":"10.1109","author":[{"given":"Ovidiu-Cristian","family":"Marcu","sequence":"first","affiliation":[]},{"given":"Alexandru","family":"Costan","sequence":"additional","affiliation":[]},{"given":"Gabriel","family":"Antoniu","sequence":"additional","affiliation":[]},{"given":"Maria S.","family":"Perez-Hernandez","sequence":"additional","affiliation":[]},{"given":"Radu","family":"Tudoran","sequence":"additional","affiliation":[]},{"given":"Stefano","family":"Bortoli","sequence":"additional","affiliation":[]},{"given":"Bogdan","family":"Nicolae","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3035928"},{"journal-title":"The Digital Universe of Opportunities","year":"0","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3102980.3102990"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2627558"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2187671.2187677"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376712"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-013-0335-9"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1145\/2479942.2479946","article-title":"A framework for partitioning and execution of data stream applications in mobile cloud computing","volume":"40","author":"yang","year":"2013","journal-title":"SIGMETRICS Perform Eval Rev"},{"key":"ref15","article-title":"Scalable data partitioning techniques for parallel sliding window processing over data streams","author":"cagri","year":"2011","journal-title":"International Workshop on Data Management for Sensor Networks"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.14778\/2732240.2732245"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860869-6\/50026-3"},{"key":"ref18","article-title":"Scalable distributed stream processing","author":"mitch","year":"2003","journal-title":"CIDR"},{"key":"ref19","first-page":"779","article-title":"High-availability algorithms for distributed stream processing","author":"hwang","year":"2005","journal-title":"IEEE ICDE"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1516360.1516467"},{"key":"ref4","first-page":"17","article-title":"Data multiverse: The uncertainty challenge of future big data analytics","author":"tudoran","year":"2016","journal-title":"IKC'16 2nd International KEYSTONE Conference"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.14778\/1454159.1454179"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824076"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2517349.2522737"},{"journal-title":"IJHPCA","article-title":"State access patterns in stream parallel computations","year":"2017","key":"ref29"},{"journal-title":"Apache Flink","year":"0","key":"ref5"},{"key":"ref8","article-title":"Data ingestion for the connected world","author":"john","year":"2017","journal-title":"CIDR Online Proceedings"},{"key":"ref7","first-page":"439","article-title":"Streamscope: Continuous reliable distributed processing of big data streams","author":"lin","year":"2016","journal-title":"USENIX NSDI"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2904441"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2318857.2254766"},{"key":"ref1","article-title":"Mapreduce: Simplified data processing on large clusters","author":"dean","year":"2004","journal-title":"Proceedings of the 6th Conference on Symposium on OSDI USENIX Association"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1007568.1007662"},{"journal-title":"Apache Kafka","year":"0","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1066157.1066193"},{"key":"ref24","first-page":"4:1","article-title":"Hyperion: High volume stream archival for retrospective querying","author":"desnoyers","year":"2007","journal-title":"USENIX ATC"},{"journal-title":"Redis","year":"0","key":"ref23"},{"journal-title":"Apache Kudu","year":"0","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2595631"}],"event":{"name":"2017 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2017,12,11]]},"location":"Boston, MA","end":{"date-parts":[[2017,12,14]]}},"container-title":["2017 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8241556\/8257893\/08258196.pdf?arnumber=8258196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T11:04:48Z","timestamp":1570619088000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8258196\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2017.8258196","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}