Overview
The ACM Symposium on Applied Computing (SAC) is a distinguished global platform for professionals in applied computing. The upcoming SAC 2026 will feature a dedicated track on Data Streams, sponsored by AI-BOOST. This track serves as a crucial venue for researchers focusing on the complexities of data stream processing, which is increasingly relevant in today’s data-driven landscape.
Background & Relevance
The rise of Big Data has brought forth significant challenges in managing and processing vast amounts of continuously generated information. Data streams, which include inputs from sources like the Internet of Things (IoT), smart cities, and sensor networks, require efficient processing methods due to their high-speed flow and non-stationary characteristics. As the field evolves, innovative algorithms are essential for handling these dynamic datasets, making this track vital for advancing research in data stream processing.
Key Details
- Paper Submission Deadline: September 26, 2025
- Author Notification: October 31, 2025
- Camera-Ready Copy Deadline: December 5, 2025
- Submission Portal: SAC 2026 Webpage
- Formatting Guidelines: Papers must adhere to the ACM 2-column camera-ready format.
- Paper Length: Up to 8 pages, with an option for 2 additional pages (maximum 10 pages total).
Eligibility & Participation
This call for papers is open to researchers and practitioners interested in data streams and their applications. Contributions should be original and unpublished, targeting a wide array of topics related to data stream processing.
Submission or Application Guidelines
- Prepare your paper according to the ACM 2-column format.
- Ensure your submission is anonymous for the double-blind review process; do not include author names or self-references in the paper.
- Include the paper identification number provided by the eCMS system on the front page of your submission.
- Submit your paper in PDF format via the SAC 2026 Webpage.
- Register your paper to ensure inclusion in the conference proceedings.
- An author or proxy must present the paper at the conference for it to be published in the ACM/IEEE Digital Library.
More Information
The Data Streams track at SAC 2026 emphasizes the significance of real-time analytics and large-scale machine learning. As the demand for efficient data processing methods grows, this track will foster discussions on innovative approaches and applications in various domains, including urban computing and IoT.
Conclusion
Researchers are encouraged to contribute their insights and findings to the Data Streams track at ACM SAC 2026. This is an excellent opportunity to engage with the community and advance the field of data stream processing. Explore the submission guidelines and prepare your contributions to be part of this important event.
Category: CFP & Deadlines
Tags: data streams, big data, machine learning, acm sac, real-time analytics, data mining, iot, urban computing, distributed stream mining, smart cities, continuous queries, visualization techniques
