Distributed Computing Systems Group

At the University of Minnesota - Twin Cities

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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

Joel's Graduation

Joel's Graduation

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Current Projects

Wearable Sensing

Active

Data optimization techniques to improve smart wearable lifetime.

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Data Management at Network's Edge

Active

Design various data management techniques for low latency edge applications

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Recent Publications

  1. Jingle: IoT-Informed Autoscaling for Efficient Resource Management in Edge Computing Latest

    In Proceedings of the IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid 24)

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  2. Leveraging Multi-Modal Data for Efficient Edge Inference Serving

    In Proceedings of the IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid 24)

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  3. Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics

    In Proceedings of the 14th ACM Symposium on Cloud Computing (SoCC 2023)

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Sponsors: NSF

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