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PODCAST

Disseminate: The Computer Science Research Podcast

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

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All Episodes

53:52

Rui Liu | Towards Resource-adaptive Query Execution...

Disseminate: The Computer Science Research Podcast ·

2024/04/01

In this episode, we talk to Rui Liu and explore the transformative potential of Ratchet, a groundbreaking resource-adaptive query execution framework. We delve into the challenges posed by ephemeral resources in modern cloud environments and the innovative solutions offered by Ratchet. Rui guides us through the intricacies of Ratchet's design, highlighting its ability to enable adaptive query suspension and resumption, sophisticated resource arbitration for diverse workloads, and a fine-grained

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47:37

Yifei Yang | Predicate Transfer: Efficient...

Disseminate: The Computer Science Research Podcast ·

2024/03/18

In this episode, Yifei Yang introduces predicate transfer, a revolutionary method for optimizing join performance in databases. Predicate transfer builds on Bloom joins, extending its benefits to multi-table joins. Inspired by Yannakakis's theoretical insights, predicate transfer leverages Bloom filters to achieve significant speed improvements. Yang's evaluation shows an average 3.3× performance boost over Bloom join on the TPC-H benchmark, highlighting the potential of predicate transfer to

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1:08:12

Vikramank Singh | Panda: Performance Debugging for...

Disseminate: The Computer Science Research Podcast ·

2024/03/04

In this episode, Vikramank Singh introduces the Panda framework, aimed at refining Large Language Models' (LLMs) capability to address database performance issues. Vikramank elaborates on Panda's four components—Grounding, Verification, Affordance, and Feedback—illustrating how they collaborate to contextualize LLM responses and deliver actionable recommendations. By bridging the divide between technical knowledge and practical troubleshooting needs, Panda has the potential to revolutionize database

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1:02:27

Tamer Eldeeb | Chablis: Fast and General Transactions...

Disseminate: The Computer Science Research Podcast ·

2024/02/12

In this episode, Tamer Eldeeb sheds light on the challenges faced by geo-distributed database management systems (DBMSes) in supporting strictly-serializable transactions across multiple regions. He discusses the compromises often made between low-latency regional writes and restricted programming models in existing DBMS solutions. Tamer introduces Chablis, a groundbreaking geo-distributed, multi-versioned transactional key-value store designed to overcome these limitations.Chablis offers a general

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1:03:55

Matt Butrovich | Tigger: A Database Proxy That...

Disseminate: The Computer Science Research Podcast ·

2023/12/18

Summary: In this episode, we chat to Matt Butrovich about his research on database proxies. We discuss the inefficiencies of traditional database proxies, which operate in user-space, causing overhead due to buffer copying and system calls. Matt introduces "user-bypass" which leverages Linux's eBPF infrastructure to move application logic into kernel-space. Matt then tells us about Tigger, a PostgreSQL-compatible DBMS proxy, showcasing user-bypass benefits. Tune in to hear about the experiments that

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46:34

Gábor Szárnyas | The LDBC Social Network Benchmark:...

Disseminate: The Computer Science Research Podcast ·

2023/12/04

Summary: In this episode, Gábor Szárnyas takes us on a journey through the LDBC Social Network Benchmark's Business Intelligence workload (SNB BI). Developed through collaboration between academia and industry the SNB BI is a comprehensive graph OLAP benchmark. It pushes the boundaries of synthetic and scalable analytical database benchmarks, featuring a sophisticated data generator and a temporal graph with small-world phenomena. The benchmark's query workload, rooted in LDBC's innovative design

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49:13

Thaleia Doudali | Is Machine Learning Necessary for...

Disseminate: The Computer Science Research Podcast ·

2023/11/20

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 Term Memory (LSTM) neural networks, a popular machine learning model. Drawing from her research, Thaleia discusses the surprising discovery that, despite the complexity of ML models, accurate predictions often boil down to a simple shift of values by one time step. The discussion explores the nuances of time series data, encompassing resource metrics

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55:09

Jinkun Geng | Nezha: Deployable and High-Performance...

Disseminate: The Computer Science Research Podcast ·

2023/10/23

Summary: In this episode Jinkun Geng talks to us about Nezha, a high-performance consensus protocol. Nezha can be deployed by cloud tenants without support from cloud providers. Nezha bridges the gap between protocols such as MultiPaxos and Raft, which can be readily deployed, and protocols such as NOPaxos and Speculative Paxos, that provide better performance, but require access to technologies such as programmable switches and in-network prioritization, which cloud tenants do not have. Tune in to

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48:57

Dimitris Koutsoukos | NVM: Is it Not Very Meaningful...

Disseminate: The Computer Science Research Podcast ·

2023/10/09

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 Meaningful for Databases?PMEM offers expanded memory capacity and faster access to persistent storage. However, (before Dimitris's work) there was no comprehensive empirical analysis of existing database engines under diferent PMEM modes, to understand how databases can benefit from the various hardware configurations. Dimitris and his colleagues have

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42:46

Mohamed Alzayat | Groundhog: Efficient Request...

Disseminate: The Computer Science Research Podcast ·

2023/09/11

Summary:Security is a core responsibility for Function-as-a-Service (FaaS) providers. The prevailing approach has each function execute in its own container to isolate concurrent executions of different functions. However, successive invocations of the same function commonly reuse the runtime state of a previous invocation in order to avoid container cold-start delays when invoking a function. Although efficient, this container reuse has security implications for functions that are invoked on behalf

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37:28

Cuong Nguyen | Detock: High Performance Multi-region...

Disseminate: The Computer Science Research Podcast ·

2023/08/28

Summary: In this episode Cuong Nguyen tells us about Detock, a geographically replicated database system. Tune in to learn about its specialised concurrency control and deadlock resolution protocols that enable processing strictly-serializable multi-region transactions with near-zero performance degradation at extremely high conflict and improves latency by up to a factor of 5.Links: SIGMOD PaperDetock Github RepoCuong's Homepage Hosted on Acast. See acast.com/privacy for more information.

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55:57

Bogdan Stoica | WAFFLE: Exposing Memory Ordering Bugs...

Disseminate: The Computer Science Research Podcast ·

2023/08/14

Concurrency bugs are difficult to detect, reproduce, and diagnose, as they manifest under rare timing conditions. Recently,active delay injection has proven efficient for exposing onesuch type of bug — thread-safety violations — with low over-head, high coverage, and minimal code analysis. However,how to efficiently apply active delay injection to broaderclasses of concurrency bugs is still an open question.In this episode, Bogdan Stoica tells us about how answered this question by focusing

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1:13:06

Roger Waleffe | MariusGNN: Resource-Efficient...

Disseminate: The Computer Science Research Podcast ·

2023/07/31

Summary: In this episode, Roger Waleffe talks about Graph Neural Networks (GNNs) for large-scale graphs. Specifically, he reveals all about MariusGNN, the first system that utilises the entire storage hierarchy (including disk) for GNN training. Tune in to find out how MaruisGNN works and just how fast it goes (and how much more cost-efficient it is!) Links: Marius ProjectRoger's Homepage Roger's TwitterEuroSys'23 PaperSupport the podcast through Buy Me a Coffee Hosted on Acast. See

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45:54

Madelon Hulsebos | GitTables: A Large-Scale Corpus of...

Disseminate: The Computer Science Research Podcast ·

2023/07/17

Summary:The success of deep learning has sparked interest in improving relational table tasks, like data preparation and search, with table representation models trained on large table corpora. Existing table corpora primarily contain tables extracted from HTML pages, limiting the capability to represent offline database tables. To train and evaluate high-capacity models for applications beyond the Web, we need resources with tables that resemble relational database tables. In this episode, Madelon

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47:18

Tarikul Islam Papon | ACEing the Bufferpool...

Disseminate: The Computer Science Research Podcast ·

2023/06/20

Summary:Compared to hard disk drives (HDDs), solid-state drives (SSDs) have two fundamentally different properties: (i) read/write asymmetry (writes are slower than reads) and (ii) access concurrency (multiple I/Os can be executed in parallel to saturate the device bandwidth). But, database operators are often designed without considering storage asymmetry and concurrency resulting in device under utilization. In thie episode, Tarikul Islam Papon tells us about his work on a new Asymmetry &

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42:34

Jian Zhang | VIPER: A Fast Snapshot Isolation Checker...

Disseminate: The Computer Science Research Podcast ·

2023/06/09

Summary:Snapshot isolation is supported by most commercial databases and is widely used by applications. However, checking, if given a set of transactions, a database ensures Snapshot Isolation is either slow or gives up soundness. In this episode, Jian Zhang tells us about VIPER, an SI checker that is sound, complete, and fast. Tune in to learn more!! Links:PaperGitHub repoJian's homepage Hosted on Acast. See acast.com/privacy for more information.

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58:53

Ahmed Sayed | REFL: Resource Efficient Federated...

Disseminate: The Computer Science Research Podcast ·

2023/05/26

Summary: Federated Learning (FL) enables distributed training by learners using local data, thereby enhancing privacy and reducing communication. However, it presents numerous challenges relating to the heterogeneity of the data distribution, device capabilities, and participant availability as deployments scale, which can impact both model convergence and bias. Existing FL schemes use random participant selection to improve fairness; however, this can result in inefficient use of resources and

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59:27

Subhadeep Sarkar | Log-structured Merge Trees | #32

Disseminate: The Computer Science Research Podcast ·

2023/05/11

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 offer high throughput for writes and good utilization of storage space. In this episode, Subhadeep Sarkar presents the fundamental principles of the LSM paradigm. He tells us about recent research on improving write performance and the various optimization techniques and hybrid designs adopted by LSM engines to accelerate reads. Tune in to find out more

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46:25

Andra Ionescu | Topio: The Geodata Marketplace | #31

Disseminate: The Computer Science Research Podcast ·

2023/04/25

Summary: The increasing need for data trading across businesses nowadays has created a demand for data marketplaces. However, despite the intentions of both data providers and consumers, today’s data marketplaces remain mere data catalogs. In this episode, Andra tells us about her vision for marketplaces of the future which require a set of value-added services, such as advanced search and discovery. Also, she tell us about her and her team's effort to engineer and develop an open-source modular

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55:01

Laurens Kuiper | These Rows Are Made For Sorting | #30

Disseminate: The Computer Science Research Podcast ·

2023/04/12

Summary: Sorting is one of the most well-studied problems in computer science and a vital operation for relational database systems. Despite this, little research has been published on implementing an efficient relational sorting operator. In this episode, Laurens Kuiper tells us about his work filling this gap! Tune in to hear about a micro-benchmarks that explores how to sort relational data efficiently for analytical database systems, taking into account different query execution engines as well

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90 results

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