A study of PosDB performance in a distributed environment

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A study of PosDB performance in a distributed environment. / Chernishev, George ; Galaktionov, Vyacheslav ; Grigorev, Valentin ; Klyuchikov, Evgeniy ; Smirnov, Kirill.

In: CEUR Workshop Proceedings, Vol. 1864, 01.09.2017.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{9630275b437f43f69359da751d022bc4,

title = "A study of PosDB performance in a distributed environment",

abstract = "PosDB is a new disk-based distributed column-store relational engine aimed for research purposes. It uses the Volcano pull-based model and late materialization for query processing, and join indexes for internal data representation. In its current state PosDB is capable of both local and distributed processing of all SSB (Star Schema Benchmark) queries. Data, as well as query plans, can be distributed among network nodes in our system. Data distribution is performed by horizontal partitioning. In this paper we experimentally evaluate the performance of our system in a distributed environment. We analyze system performance and report a number of metrics, such as speedup and scaleup. For our evaluation we use the standard benchmark - the SSB.",

author = "George Chernishev and Vyacheslav Galaktionov and Valentin Grigorev and Evgeniy Klyuchikov and Kirill Smirnov",

year = "2017",

month = sep,

day = "1",

language = "English",

volume = "1864",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "RWTH Aahen University",

note = "2nd Conference on Software Engineering and Information Management, SEIM 2017 ; Conference date: 21-04-2017",

}

RIS

TY - JOUR

T1 - A study of PosDB performance in a distributed environment

AU - Chernishev, George

AU - Galaktionov, Vyacheslav

AU - Grigorev, Valentin

AU - Klyuchikov, Evgeniy

AU - Smirnov, Kirill

PY - 2017/9/1

Y1 - 2017/9/1

N2 - PosDB is a new disk-based distributed column-store relational engine aimed for research purposes. It uses the Volcano pull-based model and late materialization for query processing, and join indexes for internal data representation. In its current state PosDB is capable of both local and distributed processing of all SSB (Star Schema Benchmark) queries. Data, as well as query plans, can be distributed among network nodes in our system. Data distribution is performed by horizontal partitioning. In this paper we experimentally evaluate the performance of our system in a distributed environment. We analyze system performance and report a number of metrics, such as speedup and scaleup. For our evaluation we use the standard benchmark - the SSB.

AB - PosDB is a new disk-based distributed column-store relational engine aimed for research purposes. It uses the Volcano pull-based model and late materialization for query processing, and join indexes for internal data representation. In its current state PosDB is capable of both local and distributed processing of all SSB (Star Schema Benchmark) queries. Data, as well as query plans, can be distributed among network nodes in our system. Data distribution is performed by horizontal partitioning. In this paper we experimentally evaluate the performance of our system in a distributed environment. We analyze system performance and report a number of metrics, such as speedup and scaleup. For our evaluation we use the standard benchmark - the SSB.

UR - http://www.scopus.com/inward/record.url?scp=85025131897&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85025131897

VL - 1864

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 2nd Conference on Software Engineering and Information Management, SEIM 2017

Y2 - 21 April 2017

ER -

ID: 35273073