In this episode, we chat with Anastasiia Kozar about her research on fault tolerance in resource-constrained environments. As IoT applications leverage sensors, edge devices, and cloud infrastructure, ensuring system reliability at the edge poses unique challenges. Unlike the cloud, edge devices operate without persistent backups or high availability standards, leading to increased vulnerability to failures. Anastasiia explains how traditional methods fall short, as they fail to align resource allocation with fault tolerance needs, often resulting in system underperformance.

To address this, Anastasiia introduces a novel resource-aware approach that combines operator placement and fault tolerance into a unified process. By optimizing where and how data is backed up, her solution significantly improves system reliability, especially for low-end edge devices with limited resources. The result? Up to a tenfold increase in throughput compared to existing methods. Tune to learn more!

Links:

• Fault Tolerance Placement in the Internet of Things [SIGMOD'24]
• The NebulaStream Platform: Data and Application Management for the Internet of Things [CIDR'20]
• nebula.stream

Hosted on Acast. See acast.com/privacy for more information.

In this episode, we chat with with Liana Patel to discuss ACORN, a groundbreaking method for hybrid search in applications using mixed-modality data. As more systems require simultaneous access to embedded images, text, video, and structured data, traditional search methods struggle to maintain efficiency and flexibility. Liana explains how ACORN, leveraging Hierarchical Navigable Small Worlds (HNSW), enables efficient, predicate-agnostic searches by introducing innovative predicate subgraph traversal. This allows ACORN to outperform existing methods significantly, supporting complex query semantics and achieving 2–1,000 times higher throughput on diverse datasets. Tune in to learn more!

Links:

• ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data [SIGMOD'24]
• Liana's LinkedIn
• Liana's X

Hosted on Acast. See acast.com/privacy for more information.

In this High Impact episode we talk to David Maier.

David is the Maseeh Professor Emeritus of Emerging Technologies at Portland State University. Tune in to hear David's story and learn about some of his most impactful work.

The podcast is proudly sponsored by Pometry the developers behind Raphtory, the open source temporal graph analytics engine for Python and Rust.

You can find David on:

• Homepage
• Google Scholar

Hosted on Acast. See acast.com/privacy for more information.