Disseminate: The Computer Science Research Podcast
Coming Soon | ACM SIGMOD/PODS 2022 | #0
Welcome to Disseminate! The podcast bringing you the cutting edge of Computer Science research in a digestible format. Each series will focus on papers published at a specific Computer Science conference, e.g., SIGMOD, CVPR, so we will cover a wide range of topics from distributed systems to computer vision. Each episode within a series will feature an interview with the author(s) of a paper published at that conference. The podcasts aims to be an alternative source of information for industry practitioners, researchers, and students. The podcast will be of particular use to practitioners as there will be a focus on the practical relevance of research, in an attempt to help bridge the gap between industry and academia. Also, as many interesting ideas/breakthroughs come from the cross pollination of different disciplines within Computer Science, researchers should also find the podcast useful, in addition to it being a source for keeping up with research in their own research area. For students hopefully disseminate will be a useful learning tool.
The first season will focus on the 2022 ACM SIGMOD/PODS International Conference on Management of Data, which is taking place in Philadelphia from Sunday, 12 June to Friday, 17 June. Episodes will start being released in the weeks following the conference.
We look forward to you joining us on this journey!
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10. Mohamed Alzayat | Groundhog: Efficient Request Isolation in FaaS | #4042:46Summary: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 of differently privileged users or administrative domains: bugs in a function’s implementation, third-party library, or the language runtime may leak private data from one invocation of the function to subsequent invocations of the same function.In this episode, Mohamed Alzayat tells us about Groundhog, which isolates sequential invocations of a function by efficiently reverting to a clean state, free from any private data, after each invocation. Tune in to learn more about how Groundhog works and how it improves security in FaaS!Links:Mohamed's homepageGroundhog EuroSys'23 paperGroundhog codebase
9. Cuong Nguyen | Detock: High Performance Multi-region Transactions at Scale | #3937:28Summary: 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
8. Bogdan Stoica | WAFFLE: Exposing Memory Ordering Bugs Efficiently with Active Delay Injection | #3855:57Concurrency bugs are difficult to detect, reproduce, and diagnose, as they manifest under rare timing conditions. Recently, active delay injection has proven efficient for exposing one such 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 broader classes of concurrency bugs is still an open question.In this episode, Bogdan Stoica tells us about how answered this question by focusing on MemOrder bugs — a type of concurrency bug caused by incorrect timing between a memory access to a particular object and the object’s initialization or deallocation. Tune to learn about Waffle — a delay injection tool that tailors key design points to better match the nature of MemOrder bugs. Links: EuroSys'23 PaperBogdan's HomepageWaffle's GitHub Repo
7. Roger Waleffe | MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks | #3701:13:06Summary: 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
6. Madelon Hulsebos | GitTables: A Large-Scale Corpus of Relational Tables | #3645:54Summary: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 Hulsebos tells us all about such a resource! Tune in to learn more about GitTables!! Links: Madelon's websiteGitTables homepageSIGMOD'23 paperBuy Me A Coffee!
5. Tarikul Islam Papon | ACEing the Bufferpool Management Paradigm for Modern Storage Devices | #3547:18Summary: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 & Concurrency aware bufferpool management (ACE) that batches writes based on device concurrency and performs them in parallel to amortize the asymmetric write cost. Tune in to learn more! Links:ICDE'23 PaperPapon's HomepagePapon's LinkedInBuy me a coffee
4. Jian Zhang | VIPER: A Fast Snapshot Isolation Checker | #3442:34Summary: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
3. Ahmed Sayed | REFL: Resource Efficient Federated Learning | #3358:53Summary: 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 lower quality training. In this episode, Ahmed Sayed talks about how he and his colleagues address the question of resource efficiency in FL. He talks about the benefits of intelligent participant selection, and incorporation of updates from straggling participants. Tune in to learn more!Links:EuroSys'23 PaperAhmed's LinkedIn Ahmed's HomepageAhmed's TwitterREFL Github
2. Subhadeep Sarkar | Log-structured Merge Trees | #3259:27Summary: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! Links:Personal websiteICDE'23 tutorialLinkedIn