{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T19:10:10Z","timestamp":1744053010242,"version":"3.40.3"},"reference-count":52,"publisher":"Association for Computing Machinery (ACM)","issue":"3","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:p>Transaction performance in geo-replicated databases heavily relies on the request location: when not issued by the primary region, transactions are forced to involve costly wide-area communication. While existing systems distribute primary roles across regions, such assignment typically occurs at the shard level, making it difficult to align with geographically dispersed access to individual records.<\/jats:p>\n          <jats:p>\n            This paper introduces PolyBase, a pioneering architecture to address such misalignment, leveraging the widely adopted Paxos-based log replication mechanisms. It enables flexible\n            <jats:italic>row-level consensus group affiliation<\/jats:italic>\n            , which runs on an\n            <jats:italic>unchanged Paxos protocol<\/jats:italic>\n            , but\n            <jats:italic>dynamically re-assigns<\/jats:italic>\n            database rows between Paxos log replication groups, whose leaders become the primary region, enjoying faster writes and up-to-date versions for reads. With carefully designed data structures and protocols, PolyBase significantly reduces wide-area RTTs without compromising transaction or log replication consistency or reliability guarantees. We implemented PolyBase with optimized re-assignment policies and integrated it into two popular databases (RocksDB and MySQL). Our evaluation on AWS, using a production e-commerce workload and microbench-marks confirms that PolyBase offers significantly higher transaction throughput and lower average\/tail latency compared to baselines.\n          <\/jats:p>","DOI":"10.14778\/3712221.3712236","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T18:03:04Z","timestamp":1744048984000},"page":"702-714","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["PolyBase: Adapting to Data Affinity Changes in Geo-Replicated Database via Row-Level Consensus-Group Affiliation Re-Assignment"],"prefix":"10.14778","volume":"18","author":[{"given":"Chaoyi","family":"Ruan","sequence":"first","affiliation":[{"name":"USTC"}]},{"given":"Yingqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"AZFT"}]},{"given":"Juncheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"USTC"}]},{"given":"Cheng","family":"Li","sequence":"additional","affiliation":[{"name":"USTC"}]},{"given":"Xiaosong","family":"Ma","sequence":"additional","affiliation":[{"name":"MBZUAI"}]},{"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"AZFT"}]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[{"name":"AZFT"}]},{"given":"Feifei","family":"Li","sequence":"additional","affiliation":[{"name":"AZFT"}]},{"given":"Xinjun","family":"Yang","sequence":"additional","affiliation":[{"name":"AZFT"}]}],"member":"320","published-online":{"date-parts":[[2025,4,7]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"2020 IEEE 36th International Conference on Data Engineering (ICDE). 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