Symposium on Networked Systems, Design and Implementation

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NSDI focuses on the design principles, implementation, and practical evaluation of networked and distributed systems. Our goal is to bring together researchers from across the networking and systems community to foster a broad approach to addressing overlapping research challenges. NSDI provides a high-quality forum for presenting results and discussing ideas that further the knowledge and understanding of the networked systems community as a whole, continue a significant research dialog, or push the architectural boundaries of network services. NSDI invites any innovative solution for a significant problem involving networked systems, including topics from within the following list: Highly available and reliable networked systems; Security and privacy of networked systems; Distributed storage, caching, and query processing systems; Sustainable, low-energy, and low-carbon networked systems; Cloud/multi-tenant systems; Mobile and embedded/sensor applications and systems; Systems aspects of networking hardware and physical layer communication technologies; Network and workload measurement systems; Self-organizing, autonomous, and federated networked systems; Managing, debugging, and diagnosing problems in networked systems; Virtualization and resource management for networked systems; Experience with deployed networked systems; Networked systems for big data; Testing and/or verification applied to networked systems; Networked systems for machine learning (ML) and ML for networked systems. Papers with no clear contributions to the design of systems or the networking stack will be considered out of scope. NSDI '26 also solicits papers that describe the design, implementation, analysis, and experience with large-scale, operational systems and networks. We encourage the submission of papers that disprove or strengthen existing assumptions, deepen the understanding of existing problems, and validate known techniques at scales or environments in which they were never used or tested before. Such operational papers need not present new ideas or results to be accepted; indeed, new ideas or results will not influence whether the papers are accepted.

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