International Conference on Data Engineering

International Conference on Data Engineering
Name	International Conference on Data Engineering
Abbreviation	ICDE
Discipline	Data management, Database systems
Publisher	IEEE Computer Society
History	1984–present
Frequency	Annual
Website	https://icde2024.ics.keio.ac.jp/

International Conference on Data Engineering. It is a premier annual academic conference in the field of data management and database systems, sponsored by the IEEE Computer Society. The conference serves as a key international forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and present research results on a wide range of data engineering topics. It features peer-reviewed research papers, industrial presentations, tutorials, panels, and demonstrations, fostering significant advancements in the discipline.

Overview

The conference is widely regarded as one of the top-tier venues in its field, alongside other leading forums like the ACM SIGMOD Conference. It consistently attracts submissions from leading academic institutions such as the Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley, as well as major industrial research labs like Microsoft Research and Google Research. The proceedings are published by the IEEE Computer Society and are a vital resource for the global research community. Participation includes a diverse mix of theoretical and applied research, with strong representation from both the United States and Europe, as well as growing attendance from Asia.

History

The first conference was held in 1984 in Los Angeles, California, establishing a foundational event for the burgeoning field. Early influential figures involved with the conference included database pioneers like Michael Stonebraker and David DeWitt. Over the decades, it has been hosted in numerous international locations, including Tokyo, Sydney, Paris, and Shanghai, reflecting its global reach. The conference has evolved to address paradigm shifts in technology, from early work on relational database systems to later emphases on data mining, data warehousing, and big data platforms like Apache Hadoop and Apache Spark.

Conference topics

Core research areas presented at the conference encompass database design, query processing, and data integration. Significant attention is given to emerging domains such as data science, machine learning systems, and cloud computing infrastructures. Other key topics include stream processing, data privacy and security, uncertain data management, and temporal databases. The conference also features tracks on novel applications in bioinformatics, geographic information systems, and social network analysis, often involving tools from the Apache Software Foundation.

Organization and structure

The conference is governed by a steering committee and organized annually by a team of volunteers from academia and industry, including a general chair and program committee chairs. The technical program committee, comprising experts from institutions like Carnegie Mellon University and ETH Zurich, conducts a rigorous double-blind peer review process. The event typically includes several days of main conference sessions, preceded by workshops such as the International Workshop on Real-Time Business Intelligence and tutorials led by authorities from organizations like IBM Research or AT&T Labs.

Impact and recognition

Papers presented have historically introduced influential concepts and systems, contributing to advancements in commercial products from Oracle Corporation, SAP SE, and Teradata. The conference bestows awards for best paper, best demonstration, and career contributions, with past recipients including notable researchers like Raghu Ramakrishnan and Hector Garcia-Molina. Its impact is evident in its high citation counts and the adoption of its research in open-source projects like PostgreSQL and industrial standards developed by bodies like the World Wide Web Consortium.

Related conferences

The conference exists within an ecosystem of other major database and data management events. Its closest counterpart is the ACM SIGMOD Conference, which is similarly prestigious. Other significant related conferences include the VLDB Conference, the International Conference on Extending Database Technology, and the International Conference on Information and Knowledge Management. In broader computing, it is also associated with events like the AAAI Conference on Artificial Intelligence and the USENIX Annual Technical Conference, where overlapping topics in data systems are explored.

Category:Computer science conferences Category:IEEE Computer Society Category:Data management