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At the core of SwitchTx is a decentralized multi-switch in-network coordination mechanism, which leverages modern switches' programmability to reduce coordination cost while avoiding the central-switch-caused problems in the state-of-the-art Eris transaction processing system. SwitchTx abstracts various coordination tasks (e.g., locking, validating, and replicating) as in-switch gather-and-scatter (GaS) operations, and offloads coordination to a tree of switches for each transaction (instead of to a central switch for all transactions) where the client and the participants connect to the leaves. Moreover, to control the transaction traffic intelligently, SwitchTx reorders the coordination messages according to their semantics and redesigns the congestion control combined with admission control. Evaluation shows that SwitchTx outperforms current transaction processing systems in various workloads by up to 2.16X in throughput, 40.4% in latency, and 41.5% in lock time.<\/jats:p>","DOI":"10.14778\/3551793.3551838","type":"journal-article","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T22:25:03Z","timestamp":1664490303000},"page":"2881-2894","source":"Crossref","is-referenced-by-count":9,"title":["SwitchTx"],"prefix":"10.14778","volume":"15","author":[{"given":"Junru","family":"Li","sequence":"first","affiliation":[{"name":"Tsinghua University"}]},{"given":"Youyou","family":"Lu","sequence":"additional","affiliation":[{"name":"Tsinghua University"}]},{"given":"Yiming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xiamen University"}]},{"given":"Qing","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua University"}]},{"given":"Zhuo","family":"Cheng","sequence":"additional","affiliation":[{"name":"Huawei Storage Product Line"}]},{"given":"Keji","family":"Huang","sequence":"additional","affiliation":[{"name":"Huawei Storage Product Line"}]},{"given":"Jiwu","family":"Shu","sequence":"additional","affiliation":[{"name":"Tsinghua University"}]}],"member":"320","published-online":{"date-parts":[[2022,9,29]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, et al. 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