Factory: Master node high-availability for Big Data applications and beyond

Ivan Gankevich, Yuri Tipikin, Vladimir Korkhov, Vladimir Gaiduchok, Alexander Degtyarev, Alexander Bogdanov

Research output

2 Citations (Scopus)
Original languageEnglish
Pages (from-to)379-389
JournalLecture Notes in Computer Science
Volume9787
DOIs
Publication statusPublished - 2016

Cite this

Gankevich, Ivan ; Tipikin, Yuri ; Korkhov, Vladimir ; Gaiduchok, Vladimir ; Degtyarev, Alexander ; Bogdanov, Alexander. / Factory: Master node high-availability for Big Data applications and beyond. In: Lecture Notes in Computer Science. 2016 ; Vol. 9787. pp. 379-389.
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title = "Factory: Master node high-availability for Big Data applications and beyond",
author = "Ivan Gankevich and Yuri Tipikin and Vladimir Korkhov and Vladimir Gaiduchok and Alexander Degtyarev and Alexander Bogdanov",
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Gankevich, I, Tipikin, Y, Korkhov, V, Gaiduchok, V, Degtyarev, A & Bogdanov, A 2016, 'Factory: Master node high-availability for Big Data applications and beyond', Lecture Notes in Computer Science, vol. 9787, pp. 379-389. https://doi.org/10.1007/978-3-319-42108-7_29

Factory: Master node high-availability for Big Data applications and beyond. / Gankevich, Ivan; Tipikin, Yuri; Korkhov, Vladimir; Gaiduchok, Vladimir; Degtyarev, Alexander; Bogdanov, Alexander.

In: Lecture Notes in Computer Science, Vol. 9787, 2016, p. 379-389.

Research output

TY - JOUR

T1 - Factory: Master node high-availability for Big Data applications and beyond

AU - Gankevich, Ivan

AU - Tipikin, Yuri

AU - Korkhov, Vladimir

AU - Gaiduchok, Vladimir

AU - Degtyarev, Alexander

AU - Bogdanov, Alexander

PY - 2016

Y1 - 2016

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U2 - 10.1007/978-3-319-42108-7_29

DO - 10.1007/978-3-319-42108-7_29

M3 - Article

VL - 9787

SP - 379

EP - 389

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

Gankevich I, Tipikin Y, Korkhov V, Gaiduchok V, Degtyarev A, Bogdanov A. Factory: Master node high-availability for Big Data applications and beyond. Lecture Notes in Computer Science. 2016;9787:379-389. https://doi.org/10.1007/978-3-319-42108-7_29

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