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The Making of TPC-DS

Raghunath Othayoth Nambiar, Meikel Poess
2006 Very Large Data Bases Conference  
This paper describes the main characteristics of TPC-DS, explains why some of the key decisions were made and which performance aspects of decision support system it measures.  ...  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.  ...  ACKNOWLEDGEMENT The authors would like to acknowledge Mike Nikolaiev, Ray Glasstone, Umesh Dayal, Ken Jacobs, Tracey Stewart, Christopher Buss and Ivan Mcphee for their comments and feedback and all TPC-DS  ... 
dblp:conf/vldb/OthayothP06 fatcat:26y56idxofdb3bke37ws3fqh4m

Yet Another Automated OLAP Workload Analyzer: Principles, and Experiences

Alfredo Cuzzocrea, Rim Moussa, Enzo Mumolo
2018 Proceedings of the 20th International Conference on Enterprise Information Systems  
As a case of study, we consider TPC-DS benchmark -the de-facto industry standard benchmark for measuring the performance of decision support solutions including.  ...  In this paper, we share our experience of implementation of an OLAP workload analyzer, which exhaustively enumerates all materialized views, indexes and fragmentation schemas candidates.  ...  Figure 1 : 1 Data View of TPC-DS Cube 91 -a sub-view of Catalog Returns Datamart. Figure 2 : 2 SQL Statement of TPC-DS Query Q91.  ... 
doi:10.5220/0006812202930298 dblp:conf/iceis/CuzzocreaMM18 fatcat:jfcb6xhevzec5feszkvxilcsje

Benchmarking SQL-on-Hadoop Systems: TPC or Not TPC? [chapter]

Avrilia Floratou, Fatma Özcan, Berni Schiefer
2015 Lecture Notes in Computer Science  
Today, many SQL-on-Hadoop vendors use the data generators and the queries of existing TPC benchmarks, but fail to adhere to the rules, producing results that are not transparent.  ...  First, new rules and policies should be defined to satisfy the demands of the new generation SQL systems.  ...  and limitations of each system and is against the rules of the TPC-DS benchmark.  ... 
doi:10.1007/978-3-319-20233-4_7 fatcat:vv7ibqt62zgtpc62ny772oxwba

High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry

Yunkai Deng, Weiming Tian, Ting Xiao, Cheng Hu, Hong Yang
2021 Remote Sensing  
Those pixels with moderate ADI values and high TPC are selected as QPSs. Then the feasibility of the DS technique is explored.  ...  In order to increase the spatial density of HQP for phase measurement, three types of HQPs including PS, quasi-permanent scatter (QPS), and distributed scatter (DS), are selected with different criteria  ...  The PS number belonging to the set S 2 , i.e., γ TPC < 0.91 and D A ≤ 0.25, is 2251 and makes up 8.8%.  ... 
doi:10.3390/rs13091617 fatcat:etyyrpun4bfs5cfzvxm3sle6ze

Why You Should Run TPC-DS: A Workload Analysis

Meikel Pöss, Raghunath Othayoth Nambiar, David Walrath
2007 Very Large Data Bases Conference  
The TPC-DS benchmark, first introduced in the "The Making of TPC-DS" [9] paper at the 32 nd International Conference on Very Large Data Bases (VLDB), has now entered the TPC's "Formal Review" phase for  ...  The first paper [9] gave an overview of the TPC-DS data model, workload model, and execution rules.  ...  members of the TPC-DS committee, especially Vincent Carbon, Susanne Englert, Douglas Inkster, Mary Meredith, Sreenivas Gukal, Doug Johnson, Lubor Kollar, Murali Krishna, Robert Lane, Larry Lutz, Priti  ... 
dblp:conf/vldb/PossNW07 fatcat:bag3i56vg5eulcxpnehgqopkui

Packing light: Portable workload performance prediction for the cloud

J. Duggan, Yun Chi, H. Hacigumus, Shenghuo Zhu, U. Cetintemel
2013 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)  
Our preliminary results are derived from experiments with TPC-H and TPC-DS benchmarks on the Amazon and Rackspace clouds.  ...  The current state of the art addresses performance prediction for individual, static hardware configurations and thus cannot generalize to new platforms without additional training.  ...  It too would make portable databases more accessible to users. This more detailed modeling is beyond the scope of this work.  ... 
doi:10.1109/icdew.2013.6547460 dblp:conf/icde/DugganCHZC13 fatcat:ai6qfgfgargprnenkoiawogcwu

Can the Optimizer Cost be Used to Predict Query Execution Times? [article]

Anthony Kleerekoper, Javier Navaridas, Mikel Lujan
2019 arXiv   pre-print
Using a smaller feature set brings the advantages of reduced overhead in terms of both storage space for the training data and the time to produce a prediction.  ...  We show that it is possible to achieve the same level of accuracy using only the cost to identify nearest neighbours.  ...  Figure 4 : 4 The Coefficient of Variation of execution times within each template in the TPC-DS benchmark.  ... 
arXiv:1905.00774v1 fatcat:jenjootsuvgave3qj342jdcyli

THE DARKSIDE PROGRAM

Giuliana Fiorillo
2015 Particle Physics at the Year of Centenary of Bruno Pontecorvo  
DS-50 has completed its first dark matter run using atmospheric argon as target. The detector performances and the results of the first physics run are presented in this proceeding.  ...  DarkSide-50 at Gran Sasso underground laboratory (LNGS), Italy, is a direct dark matter search experiment based on a liquid argon TPC.  ...  The neutron-capture reaction 10 B(n, ) 7 Li makes the borated scintillator a very effective veto of neutron background [8] . A detailed description of the LAr TPC can be found in [9] .  ... 
doi:10.1142/9789814663618_0045 fatcat:tjuhifppwraohi6757b5tsxege

A first walk on the DarkSide

S. Davini, P. Agnes, T. Alexander, A. Alton, K. Arisaka, H.O. Back, B. Baldin, K. Biery, G. Bonfini, M. Bossa, A. Brigatti, J. Brodsky (+100 others)
2016 Nuclear and Particle Physics Proceedings  
DS-50 has completed its first dark matter run using atmospheric argon as target. The DS-50 detector performances and the results of the first physics run are reviewed in this proceeding.  ...  DarkSide-50 (DS-50) at Gran Sasso underground laboratory (LNGS), Italy, is a direct dark matter search experiment based on a TPC with liquid argon.  ...  The design of the DS-50 LAr TPC was based on that of the DarkSide-10 prototype [14] . Ionizing events in the active volume of the LAr TPC result in a prompt scintillation signal called "S1".  ... 
doi:10.1016/j.nuclphysbps.2015.09.066 fatcat:mjq7y4syajf2zmww74vkdvbuba

The DarkSide Program

B. Rossi, P. Agnes, T. Alexander, A. Alton, K. Arisaka, H.O. Back, B. Baldin, K. Biery, G. Bonfini, M. Bossa, A. Brigatti, J. Brodsky (+111 others)
2016 EPJ Web of Conferences  
DS-50 has completed its first dark matter run using atmospheric argon as target. The detector performances and the results of the first physics run are presented in this proceeding.  ...  DarkSide-50 at Gran Sasso underground laboratory (LNGS), Italy, is a direct dark matter search experiment based on a liquid argon TPC.  ...  The neutron-capture reaction 10 B(n, ) 7 Li makes the borated scintillator a very effective veto of neutron background [8] . A detailed description of the LAr TPC can be found in [9] .  ... 
doi:10.1051/epjconf/201612106010 fatcat:zn5eprg7gfa7npiokuesgn3joy

A Power-Controlled 2-Dimensional Block Spread DS-CDMA Cellular System with Uplink Site Selection Diversity

Le Liu, Fumiyuki Adachi
2007 Vehicular Technology Conference-Fall (VTC-FALL), Proceedings, IEEE  
In this paper, we discuss the impact of SSD and TPC on the uplink capacity of 2D block spread DS-CDMA and compare it with those of conventional DS-CDMA and 1D block spread DS-CDMA.  ...  Keywords-2-dimensional (2D) block spreading, MAI, SSD, TPC, DS-CDMA, uplink transmission.  ...  In this paper, we consider the impact of SSD and TPC on the uplink capacity of a 2D block spread DS-CDMA cellular system.  ... 
doi:10.1109/vetecf.2007.211 dblp:conf/vtc/LiuA07 fatcat:4cjjumb5sngnhd7y33c3bidh5i

Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big Data [chapter]

Chaitanya Baru, Milind Bhandarkar, Carlo Curino, Manuel Danisch, Michael Frank, Bhaskar Gowda, Hans-Arno Jacobsen, Huang Jie, Dileep Kumar, Raghunath Nambiar, Meikel Poess, Francois Raab (+6 others)
2015 Lecture Notes in Computer Science  
Furthermore, we discuss the relevancy of the workload from an industrial point of view and propose additional extensions to achieve extended coverage of typical big data processing use cases.  ...  The high demand and rapid development has led to a sizable ecosystem of big data processing systems.  ...  Acknowledgements Portions of the research in this paper use results obtained from the Pivotal Analytics Workbench, made available by Pivotal Software, Inc.  ... 
doi:10.1007/978-3-319-15350-6_4 fatcat:q7rrkhgv5vdnjpk5qozepsokqm

An Experimental Analysis of the Use of Different Storage Technologies on a Relational DBMS

Francisco D. B. S. Praciano, Italo C. Abreu, Javam C. Machado
2020 Journal of Information and Data Management  
Different characteristics of these storage technologies may impact the performance of DBMSs.  ...  After, we discuss the reasons for the results obtained for each type of storage.  ...  Overall latency by running TPC-DS workload. Fig. 10. Accumulated latency by running TPC-DS workload. • 201 Fig. 11 . 20111 Fig. 11. Speed up of technologies on TPC-DS queries. • F. D. B. S.  ... 
doi:10.5753/jidm.2020.1868 fatcat:iu6chawgmrdwnhnjheztxzvjny

DarkSide-50: A WIMP Search with a Two-phase Argon TPC

P.D. Meyers, P. Agnes, D. Alton, K. Arisaka, H.O. Back, B. Baldin, K. Biery, G. Bonfini, M. Bossa, A. Brigatti, J. Brodsky, F. Budano (+124 others)
2015 Physics Procedia  
DarkSide-50 has a 50-kg active volume and will make use of underground argon low in 39 Ar.  ...  The expected sensitivity for WIMP-nucleon cross section is of the order of 10 −45 cm 2 for WIMP masses around 100 GeV/c 2 . The commissioning and performance of the detector are described.  ...  Center: the DS-50 TPC, 50 kg active/33 kg fiducial, now in operation at LNGS, with an expected sensitivity for the WIMP-nucleon cross section of about 10 −45 cm 2 in a three-year run.  ... 
doi:10.1016/j.phpro.2014.12.021 fatcat:r7vvfkbgkndhvikoe73p3h7efi

DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees [article]

R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic
2020 arXiv   pre-print
We view the problem as one of sequential decision making under uncertainty, specifically within the bandit learning setting.  ...  We propose a self-driving approach to online index selection that eschews the DBA and query optimiser, and instead learns the benefits of viable structures through strategic exploration and direct performance  ...  , TPC-DS and IMDb benchmarks.  ... 
arXiv:2010.09208v2 fatcat:567uvwlv45da3b5a2353bmnvby
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