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Performance evaluation and benchmark...
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TPC Technology Conference (2023 :)
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Performance evaluation and benchmarking = 15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 - September 1, 2023 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Performance evaluation and benchmarking/ edited by Raghunath Nambiar, Meikel Poess.
Reminder of title:
15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 - September 1, 2023 : revised selected papers /
remainder title:
TPCTC 2023
other author:
Nambiar, Raghunath.
corporate name:
TPC Technology Conference
Published:
Cham :Springer Nature Switzerland : : 2024.,
Description:
xvi, 144 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Multivariate Time Series Anomaly Detection: Fancy Algorithms amd Flawed Evaluation Methology. -- A Comprehensive Study on Benchmarking Permissioned Blockchains. -- Benchmarking Generative AI Performance Requires a Holistic Approach. -- Graph Stores with Application-Level Query Result Caches. -- Chaosity: Understanding Contemporary NUMA-architectures. -- Benchmarking Large Language Models: Opportunities and Challenges. -- The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space. -- The LDBC Social Network Benchmark Interactive Workload v2: A Transactional Graph Query Benchmark with Deep Delete Operations. -- A Cloud-Native Adoption of Classical DBMS Performance Benchmarks and Tools.
Contained By:
Springer Nature eBook
Subject:
Transaction systems (Computer systems) - Congresses. - Evaluation -
Online resource:
https://doi.org/10.1007/978-3-031-68031-1
ISBN:
9783031680311
Performance evaluation and benchmarking = 15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 - September 1, 2023 : revised selected papers /
Performance evaluation and benchmarking
15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 - September 1, 2023 : revised selected papers /[electronic resource] :TPCTC 2023edited by Raghunath Nambiar, Meikel Poess. - Cham :Springer Nature Switzerland :2024. - xvi, 144 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,142470302-9743 ;. - Lecture notes in computer science,14247..
Multivariate Time Series Anomaly Detection: Fancy Algorithms amd Flawed Evaluation Methology. -- A Comprehensive Study on Benchmarking Permissioned Blockchains. -- Benchmarking Generative AI Performance Requires a Holistic Approach. -- Graph Stores with Application-Level Query Result Caches. -- Chaosity: Understanding Contemporary NUMA-architectures. -- Benchmarking Large Language Models: Opportunities and Challenges. -- The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space. -- The LDBC Social Network Benchmark Interactive Workload v2: A Transactional Graph Query Benchmark with Deep Delete Operations. -- A Cloud-Native Adoption of Classical DBMS Performance Benchmarks and Tools.
This book constitutes the refereed post-conference proceedings from the 15th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2023, held in Vancouver, British Columbia, Canada, during August 28 - September 1, 2023. The 9 full papers included in this book were carefully reviewed and selected from 17 submissions. These papers focus on various novel ideas and methodologies for Performance evaluation and Benchmarking in emerging technology areas.
ISBN: 9783031680311
Standard No.: 10.1007/978-3-031-68031-1doiSubjects--Topical Terms:
3221416
Transaction systems (Computer systems)
--Evaluation--Congresses.
LC Class. No.: QA76.9.E94 / T63 2023
Dewey Class. No.: 004.24
Performance evaluation and benchmarking = 15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 - September 1, 2023 : revised selected papers /
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Multivariate Time Series Anomaly Detection: Fancy Algorithms amd Flawed Evaluation Methology. -- A Comprehensive Study on Benchmarking Permissioned Blockchains. -- Benchmarking Generative AI Performance Requires a Holistic Approach. -- Graph Stores with Application-Level Query Result Caches. -- Chaosity: Understanding Contemporary NUMA-architectures. -- Benchmarking Large Language Models: Opportunities and Challenges. -- The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space. -- The LDBC Social Network Benchmark Interactive Workload v2: A Transactional Graph Query Benchmark with Deep Delete Operations. -- A Cloud-Native Adoption of Classical DBMS Performance Benchmarks and Tools.
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This book constitutes the refereed post-conference proceedings from the 15th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2023, held in Vancouver, British Columbia, Canada, during August 28 - September 1, 2023. The 9 full papers included in this book were carefully reviewed and selected from 17 submissions. These papers focus on various novel ideas and methodologies for Performance evaluation and Benchmarking in emerging technology areas.
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Computer Science (SpringerNature-11645)
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EB QA76.9.E94 T63 2023
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