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Leadership TPC-H Benchmark™

by Using Red Hat Enterprise Linux , 2012
"... The following terms used in this publication are trademarks of other companies as follows: TPC Benchmark,TPC-H, QphH and $/QphH are trademarks of the Transaction Processing ..."
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The following terms used in this publication are trademarks of other companies as follows: TPC Benchmark,TPC-H, QphH and $/QphH are trademarks of the Transaction Processing

Reducing TPC-H benchmarking time

by Pedro Trancoso, Christodoulos Adamou, Hans Vandierendonck - In 10th Panhellenic Conference on Informatics (PCI 2005) , 2005
"... Benchmarking a system can be a time consuming operation. Therefore, many researchers have developed kernels and microbenchmarks. Nevertheless, these programs are not able to capture the details of a full application. One such example are the complex database applications. In this work we present a ..."
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a methodology based on a statistical method, Principal Component Analysis, in order to reduce the execution time of TPC-H, a decision support benchmark. This technique selects a subset of queries from the original set that are relevant and may be used to evaluate the systems. We use the subsets

Running TPC-H on Pig

by Jie Li, Koichi Ishida, Muzhi Zhao, Ralf Diestelkaemper, Xuan Wang, Yin Lin
"... Being one of the most popular high-level platforms on top of Hadoop, Pig has been shown to be less efficient to its fellow Hive [1]. While Hive has conducted intensive benchmarks to improve its performance [2], Pig is in great need of more comprehensive benchmarks. Therefore, we implement the TPC-H ..."
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Being one of the most popular high-level platforms on top of Hadoop, Pig has been shown to be less efficient to its fellow Hive [1]. While Hive has conducted intensive benchmarks to improve its performance [2], Pig is in great need of more comprehensive benchmarks. Therefore, we implement the TPC-H

Building and Validating a Reduced TPC-H Benchmark

by Hans Vandierendonck
"... The properties of computer system such as performance, energy, reliability, etc. are commonly evaluated by running benchmarks. However, the benchmarking process is complicated to set-up and use and running the benchmarks takes a substantial amount of time. Furthermore, when designing a computer, arc ..."
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, architects resort to simulation of the system, increasing the benchmarking time by several orders of magnitude. This problem can be alleviated by reducing the execution time of the benchmark suite. In this paper, we investigate a method to reduce the number of queries in TPC-H, a decision support system

Benchmarking with TPC-H on off-the-shelf Hardware. AN Experiments Report

by Anna Thanopoulou , Paulo Carreira , Helena Galhardas
"... Abstract: Most medium-sized enterprises run their databases on inexpensive off-the-shelf hardware; still, they need quick answers to complex queries, like ad-hoc Decision Support System (DSS) ones. Thus, it is important that the chosen database system and its tuning be optimal for the specific data ..."
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database size and design. Such choice can be made in-house, based on tests with academic database benchmarks. This paper focuses on the TPC-H database benchmark that aims at measuring the performance of ad-hoc DSS queries. Since official TPC-H results feature large databases and run on high-end hardware

Various Factor Comparison of DRAM-SSD and HDD using TPC-H Benchmark

by Hyun-ju Song, Young-hun Lee
"... Recently, Users needed storage for processing high-capacity data. Meanwhile, the HDD was used primarily as storage device, but SSD was developed as a fast access device. So, the use of SSD increased a lot of capacity-process. Using a SAN Switch, we tested in order to resolve data process faster. So ..."
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in this paper, DRAM-SSD and HDD’s performance ability in the data process will be confirmed using TPC-H Benchmark on MYSQL at SAN environment. From the performance analysis results, performance difference of HDD and DRAM-SSD is little when database size is low at san switch connecting with storage. But ad

Main Memory Database TPC-H Workload Characterization on Modern Processor

by Liu Da-wei, Luan Hua, Wang Shan, Qin Biao, Liu Dw, Luan H, Wang S
"... Abstract: In 1999, the research of database systems ’ execution time breakdown on modern computer platforms has been analyzed by Ailamaki, et al. The primary motivation of these studies is to improve the performance of Disk Resident Databases (DRDBs), which form the main stream of database systems ..."
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-state disk) on top of regular disk, etc. To reflect such a trend, the target of workload characterization research along the memory hierarchy is also studied. This paper focuses on Main Memory Databases (MMDBs), and the TPC-H benchmark. Unlike the performance of DRDB which is I/O bound and may be optimized

The Making of TPC-DS

by Raghunath Othayoth, Meikel Poess , 2006
"... For the last decade, the research community and the industry have used TPC-D and its successor TPC-H to evaluate performance of decision support technology. Recognizing a paradigm shift in the industry the Transaction Processing Performance Council has developed a new Decision Support benchmark, TPC ..."
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For the last decade, the research community and the industry have used TPC-D and its successor TPC-H to evaluate performance of decision support technology. Recognizing a paradigm shift in the industry the Transaction Processing Performance Council has developed a new Decision Support benchmark

The Making of TPC-DS

by Raghunath Othayoth Nambiar, Meikel Poess , 2006
"... For the last decade, the research community and the industry have used TPC-D and its successor TPC-H to evaluate performance of decision support technology. Recognizing a paradigm shift in the industry the Transaction Processing Performance Council has developed a new Decision Support benchmark, TPC ..."
Abstract - Cited by 8 (5 self) - Add to MetaCart
For the last decade, the research community and the industry have used TPC-D and its successor TPC-H to evaluate performance of decision support technology. Recognizing a paradigm shift in the industry the Transaction Processing Performance Council has developed a new Decision Support benchmark

Characterization of TPC-H Queries for a Column-Oriented Database on a Dual-Core AMD Athlon Processor

by Pranav Vaidya, Jaehwan John Lee
"... Column-oriented databases are reported to perform orders of mag-nitude faster than traditional row-oriented databases for Decision Support System (DSS) workloads. However, there have been few investigations on the detailed hardware characterization of DSS benchmarks namely TPC-H for column-oriented ..."
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Column-oriented databases are reported to perform orders of mag-nitude faster than traditional row-oriented databases for Decision Support System (DSS) workloads. However, there have been few investigations on the detailed hardware characterization of DSS benchmarks namely TPC-H for column
Results 1 - 10 of 246