Performance evaluation and benchmarking : 12th TPC Technology Conference, TPCTC 2020, Tokyo, Japan, August 31, 2020 : revised selected papers / / Raghunath Nambiar, Meikel Poess (editors)

• Record Nr.: UNISA996464502403316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2021]; ©2021
• ISBN: 3-030-84924-4
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (XIII, 113 p. 34 illus., 13 illus. in color.)
• Collana: Lecture Notes in Computer Science ; ; 12752
• Disciplina: 005.74
• Soggetti: Transaction systems (Computer systems) - Evaluation; Databases - Quality control; Database management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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.
• Sommario/riassunto: 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.