UID:
almahu_9948435920702882
Umfang:
XIV, 165 p. 77 illus., 37 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030550240
Serie:
Programming and Software Engineering ; 12257
Inhalt:
This book constitutes the refereed post-conference proceedings of the 11th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2019, held in conjunction with the 45th International Conference on Very Large Databases (VLDB 2019) in August 2019. The 11 papers presented were carefully reviewed and focus on topics such as blockchain; big data and analytics; complex event processing; database Optimizations; data Integration; disaster tolerance and recovery; artificial Intelligence; emerging storage technologies (NVMe, 3D XPoint Memory etc.); hybrid workloads; energy and space efficiency; in-memory databases; internet of things; virtualization; enhancements to TPC workloads; lessons learned in practice using TPC workloads; collection and interpretation of performance data in public cloud environments. .
Anmerkung:
Benchmarking Elastic Cloud Big Data Services under SLA Constraints -- Efficient Multiway Hash Join on Reconfigurable Hardware -- Challenges in Distributed MLPerf -- ADABench - Towards an Industry Standard Benchmark for Advanced Analytics -- TPCx-BB (Big Bench) in a Single-Node Environment -- CBench-Dynamo: A Consistency Benchmark for NoSQL Database Systems -- Benchmarking Databases On-The-Go -- End-to-End Benchmarking of Deep Learning Platforms -- Role of the TPC in the Cloud Age -- Benchmarking Database Cloud Services -- Use Machine Learning Methods to Predict Performance of Storage Devices. .
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030550233
Weitere Ausg.:
Printed edition: ISBN 9783030550257
Sprache:
Englisch
DOI:
10.1007/978-3-030-55024-0
URL:
https://doi.org/10.1007/978-3-030-55024-0
