Description
Book Synopsis.- Multivariate Time Series Anomaly Detection: Fancy Algorithms amd Flawed Evaluation Methology.
.- A Comprehensive Study on Benchmarking Permissioned Blockchains.
.- Benchmarking Generative AI Performance Requires a Holistic Approach.
.- Graph Stores with Application-Level Query Result Caches.
.- Chaosity: Understanding Contemporary NUMA-architectures.
.- Benchmarking Large Language Models: Opportunities and Challenges.
.- The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space.
.- The LDBC Social Network Benchmark Interactive Workload v2: A Transactional Graph Query Benchmark with Deep Delete Operations.
.- A Cloud-Native Adoption of Classical DBMS Performance Benchmarks and Tools.
