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Performance Evaluation and Benchmarking: 16th TPC Technology Conference, TPCTC 2024, Guangzhou, China, August 30, 2024, Revised Selected Papers [Pehme köide]

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  • Formaat: Paperback / softback, 152 pages, kõrgus x laius: 235x155 mm, 31 Illustrations, black and white; XXII, 152 p. 31 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15337
  • Ilmumisaeg: 09-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031938577
  • ISBN-13: 9783031938573
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  • Formaat: Paperback / softback, 152 pages, kõrgus x laius: 235x155 mm, 31 Illustrations, black and white; XXII, 152 p. 31 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15337
  • Ilmumisaeg: 09-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031938577
  • ISBN-13: 9783031938573

This book constitutes the refereed proceedings of the 16th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2024, held in Guangzhou, China, during August 30, 2024.

The 7 full papers included in this book were carefully reviewed and selected from 12 submissions. The proceedings also include one invited talk and one paper based on a panel discussion with industry and academic leaders. The book focusses on providing vendors with a valuable tool to showcase the performance competitiveness of their current offerings while also aiding in the enhancement and tracking of products still in development.

.- PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream
Processing.


.- A Survey of Stream Processing System Benchmarks.


.- CrypQ: A Database Benchmark Based on Dynamic, Ever-Evolving Ethereum
Data.


.- Panel: Benchmarking Timeseries Databases: Current State and Future
Perspectives.


.- StarBench: A Fresh Approach On Star Schema Benchmarking.


.- Web3Bench: A Web3 Based HTAP Benchmark.


.- Invited Talk: Performance Evaluation of TimechoDB using TPCx-IoT.


.- Benchmarking Machine Learning Pipelines in PostgreSQL with TPCx-AI.


.- Evaluation Considerations of Synthetic Natural Language Datasets for
Question Answering Applications.