{"created":"2020-11-19T17:22:19.763603+00:00","id":6300,"links":{},"metadata":{"_buckets":{"deposit":"b826e53f-1b2a-45ec-8832-878d3e7b2617"},"_deposit":{"created_by":45,"id":"6300","owner":"45","owners":[45],"owners_ext":{"displayname":"","email":"dimennyaung@uit.edu.mm","username":""},"pid":{"revision_id":0,"type":"recid","value":"6300"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/6300","sets":["1582963342780:1605779935331"]},"communities":["uit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Evaluation of Apache Kafka in Real-Time Big Data Pipeline Architecture","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Today, many applications based on real-time analytics\nneed to enable time-critical decision with real-time\nrequirements and process with reliability requirements.\nModern distributed systems are growing exponentially as\nfar as performance and scale. The main purpose of Big\nData real-time processing is to realize an entire system\nthat can process such mesh data in a short time. And the\nperformance of processing time can be guaranteed in a\nsatisfactory range. To develop a distributed data pipeline,\nthe system proposes real-time big data pipeline by using\nApache Kafka and Apache Storm. Apache Kafka is\ncurrently the most popular framework used to ingest the\ndata streams into the processing platforms. However,\nthere are many challenges how to send reliable messages\non many servers. This paper focuses on the comparison\nof the processing time between successful processes and\nfailed processes on many servers. The experimental\nresults show the performance impact on both producer\nand consumer of the Apache Kafka framework."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Apache Kafka"},{"interim":"Apache storm"},{"interim":"Asynchronous replication"},{"interim":"Real time processing"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-11-19"}],"displaytype":"preview","filename":"Evaluation of Apache Kafka in Real-Time Big Data Pipeline Architecture.pdf","filesize":[{"value":"1.4 Mb"}],"format":"application/pdf","license_note":"© 2018 ICAIT","licensetype":"license_note","url":{"url":"https://meral.edu.mm/record/6300/files/Evaluation of Apache Kafka in Real-Time Big Data Pipeline Architecture.pdf"},"version_id":"b55ec1a3-4d88-4acd-a1a7-eff8a1f2139a"}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"ICAIT-2018","subitem_c_date":"1-2 November, 2018","subitem_conference_title":"2nd International Conference on Advanced Information Technologies","subitem_place":"Yangon, Myanmar","subitem_session":"Database and Big Data Analytics","subitem_website":"https://www.uit.edu.mm/icait-2018/"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Thandar Aung"},{"subitem_authors_fullname":"Hla Yin Min"},{"subitem_authors_fullname":"Aung Htein Maw"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Conference paper"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2018-11-02"},"item_title":"Evaluation of Apache Kafka in Real-Time Big Data Pipeline Architecture","item_type_id":"21","owner":"45","path":["1605779935331"],"publish_date":"2020-11-19","publish_status":"0","recid":"6300","relation_version_is_last":true,"title":["Evaluation of Apache Kafka in Real-Time Big Data Pipeline Architecture"],"weko_creator_id":"45","weko_shared_id":-1},"updated":"2021-12-13T04:25:10.538788+00:00"}