Proceedings of the ACM SIGMOD

Proceedings of the ACM SIGMOD
Title	Proceedings of the ACM SIGMOD
Discipline	Computer science
Abbreviation	SIGMOD Proc.
Publisher	Association for Computing Machinery
Country	United States
History	1975–present
Frequency	Annual / Conference-based

Proceedings of the ACM SIGMOD.

The Proceedings of the ACM SIGMOD is the formal proceedings series produced for the annual ACM SIGMOD conference, serving as a primary venue for research in database management systems and related topics. It connects communities represented by organizations such as IEEE, USENIX, VLDB, ICDE, and PODS, and is central to scholarship associated with institutions like Stanford University, Massachusetts Institute of Technology, University of California, Berkeley, and Carnegie Mellon University.

Overview

The Proceedings document peer-reviewed contributions presented at the ACM SIGMOD International Conference on Management of Data and includes papers from researchers affiliated with Microsoft Research, Google Research, Amazon Web Services, Facebook AI Research, IBM Research, and Oracle Corporation. Its readership spans members of Association for Computing Machinery, attendees from SIGMOD Student Research, speakers at SIGMOD Demonstrations, and participants in panels tied to SIGMOD Industry tracks. The Proceedings frequently cross-references work from conferences such as International Conference on Very Large Data Bases, KDD, NeurIPS, ICML, and SOSP.

History and Evolution

Early volumes emerged alongside computing milestones at places like Bell Labs, Xerox PARC, Cambridge University, and ETH Zurich, reflecting progress from relational theory by researchers connected to IBM System R, Ingres Project, and investigations influenced by E. F. Codd and Jim Gray. Over decades the Proceedings incorporated contributions from labs at Bell Labs Research, Hewlett-Packard Labs, Silicon Graphics, and universities including University of Washington, University of Illinois Urbana-Champaign, Princeton University, and Columbia University. Growth paralleled events such as the rise of World Wide Web, the commercialization efforts of Sun Microsystems, and initiatives at DARPA and the National Science Foundation. The series adapted to paradigms shaped by work at Google, Yahoo! Research, Twitter, LinkedIn, Netflix, Alibaba Group, Tencent, and startups spun out of Dropbox and Snowflake Inc..

Publication and Access

Proceedings have been published by Association for Computing Machinery and distributed in print and digital formats through venues like ACM Digital Library and institutional repositories at MIT Libraries, Harvard Library, Stanford Libraries, and Cornell University Library. Access models evolved due to policies set by organizations such as SPARC, mandates from the National Institutes of Health, and initiatives like arXiv and SSRN for preprints. Libraries managed subscriptions under frameworks involving JSTOR, CrossRef, and DOI registration through International DOI Foundation. Indexing occurs in services such as Scopus, Web of Science, Google Scholar, and archival systems like LOCKSS and PORTICO.

Scope and Content

The Proceedings cover themes including query processing and optimization as advanced by researchers associated with System R, Volcano optimizer, and teams at PostgreSQL Global Development Group; storage systems influenced by projects from Seagate Technology and Western Digital; distributed systems inspired by MapReduce, Hadoop, Spark, and architectures from Google Bigtable and Amazon DynamoDB. Topics often intersect with work from Stanford InfoLab, Berkeley RISELab, and collaborations with Microsoft Azure and IBM Cloud. Contributions address indexing techniques rooted in research from R-tree and B-tree communities, transaction processing following theories of ACID and analyses akin to those in CAP theorem studies, and data analytics linking to Pandas (software), TensorFlow, and PyTorch ecosystems. Cross-disciplinary ties appear with scholarship presented at SIGMOD Tutorials, SIGMOD Panels, and co-located workshops connected to CIDR, EDBT, and SIGMOD-PODS joint events.

Editorial and Peer Review Process

Editorial oversight has involved program committees composed of faculty and researchers from University of California, San Diego, University of Toronto, University of Maryland, College Park, Johns Hopkins University, University of Michigan, Yale University, and industry representatives from NVIDIA Corporation, Intel Corporation, ARM Holdings, Qualcomm, and Facebook. The double-blind or single-blind peer review workflows align with standards used by NeurIPS and ICML and utilize submission platforms similar to EasyChair and HotCRP. Program chairs often coordinate with steering committees drawn from ACM SIGMOD Steering Committee and liaise with editorial boards that include members linked to ACM Transactions on Database Systems and editors formerly associated with IEEE Transactions on Knowledge and Data Engineering.

Notable Papers and Impact

Proceedings have published influential papers informing technologies at Google, Amazon, Facebook, Instagram, Uber, and Airbnb, as well as foundational research later integrated into systems such as PostgreSQL, MySQL, SQLite, MongoDB, Cassandra, and HBase. Noteworthy contributions trace lineage to authors connected with Michael Stonebraker, Jennifer Widom, David DeWitt, Surajit Chaudhuri, Hector Garcia-Molina, and Raghu Ramakrishnan, whose work influenced benchmarks like TPC-C and modeling efforts referenced in ACM SIGMOD Research Highlights. The Proceedings’ citation impact is tracked in metrics reported by Google Scholar Citations, h-index compilations, and retrospectives from ACM Fellows and recipients of awards such as the ACM SIGMOD Edgar F. Codd Innovations Award and the ACM Turing Award.

Related Conferences and Workshops

Closely related venues include VLDB, ICDE, PODS, EDBT, CIDR, SOSP, OSDI, KDD, ICML, NeurIPS, SIGKDD, SIGMOD-RDMS sessions, and workshops run by organizations like USENIX and consortia including Big Data Conference Series. Co-located events often feature panels with participants from European Conference on Computer Systems, Asian Conference on Machine Learning, and regional meetings at SIGMOD Europe and collaborations with national labs such as Lawrence Berkeley National Laboratory and Los Alamos National Laboratory.

Category:Computer science conference proceedings