Performance Evaluation and Benchmarking
12th TPC Technology Conference, TPCTC 2020, Tokyo, Japan, August 31, 2020, Revised Selected Papers
Published on 3. August 2021
XIII, 113 pages
978-3-030-84924-5 (ISBN)
Description
This book constitutes the refereed post-conference proceedings of the 12th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2020, held in August 2020.The 8 papers presented were carefully reviewed and cover the following topics: testing ACID compliance in the LDBC social network benchmark; experimental performance evaluation of stream processing engines made easy; revisiting issues in benchmarking metric selection; performance evaluation for digital transformation; experimental comparison of relational and NoSQL document systems; a framework for supporting repetition and evaluation in the process of cloud-based DBMS performance benchmarking; benchmarking AI inference; a domain independent benchmark evolution model for the transaction processing performance council.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIII, 113 p. 34 illus., 13 illus. in color.
ISBN-13
978-3-030-84924-5 (9783030849245)
DOI
10.1007/978-3-030-84924-5
Schweitzer Classification
Other editions
Additional editions
Raghunath Nambiar | Meikel Poess
Performance Evaluation and Benchmarking
12th TPC Technology Conference, TPCTC 2020, Tokyo, Japan, August 31, 2020, Revised Selected Papers
Book
08/2021
Springer
€53.49
Shipment within 7-9 days
Content
Towards Testing ACID Compliance in the LDBC Social Network Benchmark.- EXPOSE: Experimental Performance Evaluation of Stream Processing Engines Made Easy.- Revisiting Issues in Benchmarking Metric Selection.- Performance Evaluation for Digital Transformation.- Experimental Comparison of Relational and NoSQL Document Systems: the Case of Decision Support.- A Framework for Supporting Repetition and Evaluation in the Process of Cloud-based DBMS Performance Benchmarking.- Benchmarking AI Inference: Where we are in 2020.- A Domain Independent Benchmark Evolution Model for the Transaction Processing Performance Council.
