This podcast features interviews with Computer Science researchers. Hosted by Dr. Jack Waudby researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work.You can support the show through Buy Me a Coffee. A donation of $3 will help us keep making you awesome Computer Science research podcasts. Hosted on Acast. See acast.com/privacy for more information.
87 episodes transcribedIn this episode, Tamer Eldeeb sheds light on the challenges faced by geo-distributed database management systems (DBMSes) in supporting strictly-seria...
Summary: In this episode, we chat to Matt Butrovich about his research on database proxies. We discuss the inefficiencies of traditional database prox...
Summary: In this episode, Gábor Szárnyas takes us on a journey through the LDBC Social Network Benchmark's Business Intelligence workload (SNB BI). De...
Summary:In this week's episode, we talk with Thaleia Doudali and explore the realm of cloud resource forecasting, focusing on the use of Long Short Te...
Summary: In this episode Jinkun Geng talks to us about Nezha, a high-performance consensus protocol. Nezha can be deployed by cloud tenants without su...
Summary: In this episode, Dimitris Koutsoukos talks to us about Persistent or Non Volatile Memory (PMEM) and we answer the question: Is it Not Very Me...
Summary:Security is a core responsibility for Function-as-a-Service (FaaS) providers. The prevailing approach has each function execute in its own con...
Summary: In this episode Cuong Nguyen tells us about Detock, a geographically replicated database system. Tune in to learn about its specialised concu...
Concurrency bugs are difficult to detect, reproduce, and diagnose, as they manifest under rare timing conditions. Recently, active delay injectio...
Summary: In this episode, Roger Waleffe talks about Graph Neural Networks (GNNs) for large-scale graphs. Specifically, he reveals all about MariusGNN,...
Summary:The success of deep learning has sparked interest in improving relational table tasks, like data preparation and search, with table representa...
Summary:Compared to hard disk drives (HDDs), solid-state drives (SSDs) have two fundamentally different properties: (i) read/write asymmetry (writes a...
Summary:Snapshot isolation is supported by most commercial databases and is widely used by applications. However, checking, if given a set of transact...
Summary: Federated Learning (FL) enables distributed training by learners using local data, thereby enhancing privacy and reducing communication. Howe...
Summary:Log-structured merge (LSM) trees have emerged as one of the most commonly used storage-based data structures in modern data systems as they of...
Summary: The increasing need for data trading across businesses nowadays has created a demand for data marketplaces. However, despite the intentions o...
Summary: Sorting is one of the most well-studied problems in computer science and a vital operation for relational database systems. Despite this, lit...
Summary: In this episode Semih Salihoğlu tell us about Kùzu, an in-process property graph database management system built for query speed and scalabi...
Summary:Today’s storage landscape offers a deep and heterogeneous stack of technologies that promises to meet even the most demanding data intensive w...
Summary:Today’s organizations utilize a plethora of heterogeneous and autonomous DBMSes, many of those being spread across different geo-locations. It...
