Distributed Computing Systems Group
At the University of Minnesota - Twin Cities
About Us
We are a part of the Department of Computer Science & Engineering at the University of Minnesota. We are broadly interested in distributed systems, and our current projects span a variety of systems: Cloud, Distributed Machine Learning, Video Analytics, IoT and Edge Storage. These projects include systems to harness the power of edge resources, exploring cloud as a backend to outsource mobile computations, and multi-tiered storage systems.
News
Current Projects
DenseIoT
ActiveA distributed IoT platform for scalable, heterogeneuous, and multi-location IoT applications.
Learn MoreData Management at Network's Edge
ActiveDesign various data management techniques for low latency edge applications
Learn MoreRecent Publications
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics Latest
In Proceedings of the 14th ACM Symposium on Cloud Computing (SoCC 2023)
Read moreSQuBA: Social Quorum Based Access Control for Open IoT Environments
We present a tiered approach to support access control rules and relationship-based trustworthiness. We implemented a prototype and carried out experiments using a real-world dataset under various scenarios and configurations.
Read moreAggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations
In Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2023)
Read more
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