Nambiar / Poess Performance Evaluation and Benchmarking for the Era of Artificial Intelligence

10th TPC Technology Conference, TPCTC 2018, Rio de Janeiro, Brazil, August 27–31, 2018, Revised Selected Papers
Erscheinungsjahr 2019
ISBN: 978-3-030-11404-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 155 Seiten

Reihe: Lecture Notes in Computer Science

This book constitutes the thoroughly refereed post-conference proceedings of the 10th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2018, held in conjunction with the 44th International Conference on Very Large Databases (VLDB 2018) in August 2018.

The 10 papers presented were carefully reviewed and selected from numerous submissions.

The TPC encourages researchers and industry experts to present and debate novel ideas and methodologies in performance evaluation, measurement, and characterization.

Zielgruppe

Research

Autoren/Hrsg.

Nambiar, Raghunath

Poess, Meikel

Inhaltsverzeichnis

UniBench: A Benchmark for Multi-Model Database Management Systems.- PolyBench: The First Benchmark for Polystores.- Benchmarking Distributed Data Processing Systems for Machine Learning Workloads.- Characterizing the Performance and Resilience of HCI clusters with the TPCx-HCI Benchmark.- Requirements for an Enterprise AI Benchmark.- Requirements for an Enterprise AI Benchmark.- A Comparison of Two Cache Augmented SQL Architectures.- Benchmarking and Performance.- Data Consistency Properties of Document Store as a Service (DSaaS).- Lessons Learned from Performance Benchmarking of TPC-DS using Transwarp with Cisco UCS.