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With the continuing advances of sensing devices and IoT/Telecom applications,database systems need to process data ingestion queries that update the sensordata frequently. However, as the rate of data ingestion queries increases,existing protocols have exhibited degraded performance since concurrent updatesneed to acquire lock to update the latest versions. To reduce the load onsystem on data ingestion queries, we focus on the theory of version order; wecan test that a write is an old and unnecessary version by using version orderof data items. In this paper, we propose a novel protocol extension method,scheduling space expander (SSE). SSE adds another control flow to conventionalprotocols to omit updates on data ingestion queries. It generates an erasingversion order, which assumes that a transaction processes outdated unnecessaryversions. SSE also tests the correctness of this version order efficiently andindependently from conventional protocols. In addition, we present anoptimization of SSE called epoch-based SSE (ESSE), which tests and maintains anerasing version order more efficiently than SSE. We extend two state-of-the-art1VCC and MVCC protocols, Silo and MVTO with ESSE. Experimental resultsdemonstrate that extensions of Silo and MVTO improve 2.7x and 2.5x performanceon the TATP benchmark on a 144-core machine, and the extensions achievedperformance comparable to that of the original protocol for the TPC-Cbenchmark.

Scheduling Space Expander: An Extension of Concurrency Control for Data Ingestion Queries