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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 / [electronic resource] : edited by Raghunath Nambiar, Meikel Poess. - 1st ed. 2019. - Cham : Springer International Publishing : Imprint: Springer, 2019. - XIII, 155 p. 89 illus., 48 illus. in color. online resource. - Programming and Software Engineering ; 11135 . - Programming and Software Engineering ; 11135 .

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.

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.

9783030114046

10.1007/978-3-030-11404-6 doi


Computer Science
Computer system performance.
Database management.
Artificial intelligence.
System Performance and Evaluation.
Database Management.
Information Systems Applications (incl. Internet).
Artificial Intelligence.

QA76.9.E94

004.24

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