LEADER 03207nam 2200529 450 001 996464502403316 005 20220414181934.0 010 $a3-030-84924-4 024 7 $a10.1007/978-3-030-84924-5 035 $a(CKB)4100000011994847 035 $a(DE-He213)978-3-030-84924-5 035 $a(MiAaPQ)EBC6689224 035 $a(Au-PeEL)EBL6689224 035 $a(PPN)257350659 035 $a(EXLCZ)994100000011994847 100 $a20220414d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPerformance evaluation and benchmarking $e12th TPC Technology Conference, TPCTC 2020, Tokyo, Japan, August 31, 2020 : revised selected papers /$fRaghunath Nambiar, Meikel Poess (editors) 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XIII, 113 p. 34 illus., 13 illus. in color.) 225 1 $aLecture Notes in Computer Science ;$v12752 311 $a3-030-84923-6 327 $aTowards 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. 330 $aThis book constitutes the refereed post-conference proceedings of the 12th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2020, held in August 2020. The 8 papers presented were carefully reviewed and cover the following topics: testing ACID compliance in the LDBC social network benchmark; experimental performance evaluation of stream processing engines made easy; revisiting issues in benchmarking metric selection; performance evaluation for digital transformation; experimental comparison of relational and NoSQL document systems; a framework for supporting repetition and evaluation in the process of cloud-based DBMS performance benchmarking; benchmarking AI inference; a domain independent benchmark evolution model for the transaction processing performance council. 410 0$aLecture notes in computer science ;$v12752. 606 $aTransaction systems (Computer systems)$xEvaluation$vCongresses 606 $aDatabases$xQuality control$vCongresses 606 $aDatabase management$vCongresses 615 0$aTransaction systems (Computer systems)$xEvaluation 615 0$aDatabases$xQuality control 615 0$aDatabase management 676 $a005.74 702 $aNambiar$b Raghunath 702 $aPoess$b Meikel 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464502403316 996 $aPerformance Evaluation and Benchmarking$9773784 997 $aUNISA