Season 6

Gábor Szárnyas | The LDBC Social Network Benchmark: Business Intelligence Workload | #44
December 04, 2023x
4
46:3442.64 MB

Gábor Szárnyas | The LDBC Social Network Benchmark: Business Intelligence Workload | #44

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...

Thaleia Doudali | Is Machine Learning Necessary for Cloud Resource Usage Forecasting? | #43
November 20, 2023x
3
49:1345.06 MB

Thaleia Doudali | Is Machine Learning Necessary for Cloud Resource Usage Forecasting? | #43

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, desp...

Jinkun Geng | Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks | #42
October 23, 2023x
2
55:0950.5 MB

Jinkun Geng | Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks | #42

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...

Dimitris Koutsoukos | NVM: Is it Not Very Meaningful for Databases? | #41
October 09, 2023x
1
48:5744.83 MB

Dimitris Koutsoukos | NVM: Is it Not Very Meaningful for Databases? | #41

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 w...