International Conference on Data Engineering

International Conference on Data Engineering
Name	International Conference on Data Engineering
Abbreviation	ICDE
Established	1984
Discipline	Computer science, Information technology
Frequency	Annual
Publisher	Institute of Electrical and Electronics Engineers

Contents

International Conference on Data Engineering is a major annual academic conference in Computer science and Information technology focusing on databases, data mining, distributed computing, cloud computing, and big data. The conference brings together researchers from institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University, and University of Oxford as well as corporate laboratories like IBM Research, Microsoft Research, Google Research, Amazon Web Services, and Facebook AI Research. ICDE interacts with other events including SIGMOD, VLDB, KDD, ICML, and NeurIPS while engaging societies such as the Institute of Electrical and Electronics Engineers and professional groups like ACM.

History

The event traces its origins to initiatives in the 1980s linking researchers from Bell Labs, AT&T Bell Laboratories, Xerox PARC, IBM Research, Intel Research, and universities such as University of Toronto and University of Washington. Early meetings paralleled milestones like the development of relational database systems at IBM and the emergence of query optimization research at Citibank-sponsored projects and influenced by researchers associated with ACM SIGMOD and IFIP. Over decades ICDE expanded alongside developments at institutions such as Stanford Linear Accelerator Center (data management for scientific instruments), Lawrence Berkeley National Laboratory (scientific data), Los Alamos National Laboratory (high-performance computing), and government labs including National Institutes of Health and National Aeronautics and Space Administration, reflecting shifts seen in collaborations with DARPA and European projects like CERN data initiatives.

ICDE covers topics from foundational work to systems and applications: query processing and query optimization research tied to pioneers at Bell Labs and IBM Research; transaction processing and concurrency control influenced by work at Oracle Corporation and Ingres; data warehousing and OLAP explored alongside Teradata and SAP; as well as emerging areas such as distributed systems research from MIT CSAIL and UC Berkeley RISELab, cloud computing practices from Amazon Web Services and Google Cloud, and machine learning integration exemplified by collaborations with Microsoft Research and DeepMind. Other thematic intersections include sensor networks research at Cornell University and ETH Zurich, graph processing methods studied at Princeton University and Facebook, and privacy and security concerns addressed by researchers from Harvard University and Yale University.

The conference is typically overseen by program committees and executive committees drawn from academic institutions such as Columbia University, University of Illinois Urbana-Champaign, University of Michigan, University of Maryland, College Park, and Purdue University, and industrial researchers from Intel Corporation, NVIDIA, HP Labs, and Siemens. Sponsorship and governance engage professional bodies including the Institute of Electrical and Electronics Engineers Computer Society and associations like ACM SIGMOD and regional chapters of IEEE. Steering committees coordinate with local organizing committees at host institutions such as University of Tokyo, Tsinghua University, National University of Singapore, and University of Sydney to manage peer review, program selection, and logistics.

Proceedings are published under the aegis of the Institute of Electrical and Electronics Engineers and indexed by databases such as IEEE Xplore and cataloged alongside proceedings from SIGMOD, VLDB Endowment, and ACM Digital Library. Papers from ICDE have been cited in journals like Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering, and Proceedings of the VLDB Endowment, and appear in collections from publishers including Springer and Elsevier. Workshops and tutorials co-located with ICDE produce supplemental proceedings that align with topics covered at events like KDD workshops and SIGMOD tutorials.

ICDE bestows awards for best paper, best student paper, and distinguished contributions, drawing parallels with honors from ACM SIGMOD and VLDB Endowment awards. Recipients have included researchers affiliated with MIT, Stanford University, Carnegie Mellon University, University of California, Berkeley, and corporate labs such as IBM Research and Microsoft Research. Awards often recognize work also honored by organizations like the IEEE Technical Community on Data Engineering and national academies including National Academy of Engineering and Royal Society fellows.

Landmark contributions presented at ICDE have intersected with foundational work in relational databases from researchers connected to IBM Research and University of California, Berkeley; scalable processing frameworks influenced by systems from Google and Yahoo!; indexing and search innovations related to research at OpenLink, Lucene contributors, and Microsoft Research; and privacy-preserving analytics linked to scholars at Harvard University and Carnegie Mellon University. Influential papers have driven technology incorporated into products and projects from Oracle Corporation, Teradata, Amazon Web Services, Google Cloud Platform, and open-source initiatives associated with Apache Software Foundation projects such as Apache Hadoop and Apache Spark.