{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T23:27:33Z","timestamp":1769470053943,"version":"3.49.0"},"reference-count":64,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T00:00:00Z","timestamp":1768953600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Foundation","award":["CNS-2402859"],"award-info":[{"award-number":["CNS-2402859"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Software"],"abstract":"<jats:p>LambdaStore is a data-centric serverless platform that breaks the split between stateless functions and external storage in classic cloud computing platforms. By scheduling serverless invocations near data instead of pulling data to compute, LambdaStore substantially reduces the state access cost that dominates today\u2019s serverless workloads. Leveraging its transactional storage engine, LambdaStore delivers serializable guarantees and exactly-once semantics across chains of lambda invocations\u2014a capability missing in current Function-as-a-Service offerings. We make three key contributions: (1) an object-oriented programming model that ties function invocations with its data; (2) a transaction layer with adaptive lock granularity and an optimistic concurrency control protocol designed for serverless workloads to keep contention low while preserving serializability; and (3) an elastic storage system that preserves the elasticity of the serverless paradigm while lambda functions run close to their data. Under read-heavy workloads, LambdaStore lifts throughput by orders of magnitude over existing serverless platforms while holding end-to-end latency below 20 ms.<\/jats:p>","DOI":"10.3390\/software5010005","type":"journal-article","created":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T11:11:17Z","timestamp":1768993877000},"page":"5","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data-Centric Serverless Computing with LambdaStore"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6649-7932","authenticated-orcid":false,"given":"Kai","family":"Mast","sequence":"first","affiliation":[{"name":"Provable Inc., 5470 Kietzke Ln Ste 300, Reno, NV 89511, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3511-5364","authenticated-orcid":false,"given":"Suyan","family":"Qu","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin-Madison, 1205 University Avenue, Madison, WI 53706, USA"}]},{"given":"Aditya","family":"Jain","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin-Madison, 1205 University Avenue, Madison, WI 53706, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8618-2738","authenticated-orcid":false,"given":"Andrea","family":"Arpaci-Dusseau","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin-Madison, 1205 University Avenue, Madison, WI 53706, USA"}]},{"given":"Remzi","family":"Arpaci-Dusseau","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin-Madison, 1205 University Avenue, Madison, WI 53706, USA"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Baldini, I., Castro, P.C., Chang, K.S., Cheng, P., Fink, S., Ishakian, V., Mitchell, N., Muthusamy, V., Rabbah, R., and Slominski, A. 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