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Alexander Nozdrin

dblp:204/3640 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 100%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › parallel database system
shared-nothing architecture
0.312017
Fiber-based architecture for NFV cloud databases · Proc. VLDB Endow. 2017
Operating systems › resource management › process management
user-level threads
0.312017
Fiber-based architecture for NFV cloud databases · Proc. VLDB Endow. 2017
Cloud and datacenter computing › virtualization › network virtualization
network function virtualization
0.112017
Fiber-based architecture for NFV cloud databases · Proc. VLDB Endow. 2017

Methods — techniques the papers use, named apart from their topics

shared-nothing partitioning · 0.9fibers · 0.9
YearPublicationVenuePosition
2017 Fiber-based architecture for NFV cloud databases
abstract
The telco industry is gradually shifting from using monolithic software packages deployed on custom hardware to using modular virtualized software functions deployed on cloudified data centers using commodity hardware. This transformation is referred to as Network Function Virtualization (NFV). The scalability of the databases (DBs) underlying the virtual network functions is the cornerstone for reaping the benefits from the NFV transformation. This paper presents an industrial experience of applying shared-nothing techniques in order to achieve the scalability of a DB in an NFV setup. The special combination of requirements in NFV DBs are not easily met with conventional execution models. Therefore, we designed a special shared-nothing architecture that is based on cooperative multi-tasking using user-level threads (fibers). We further show that the fiber-based approach outperforms the approach built using conventional multi-threading and meets the variable deployment needs of the NFV transformation. Furthermore, fibers yield a simpler-to-maintain software and enable controlling a trade-off between long-duration computations and real-time requests.
Vaidas Gasiunas, David Dominguez-Sal, Ralph Acker, Aharon Avitzur, Ilan Bronshtein, Eli Ginot, Norbert Martínez-Bazan, Alexander Nozdrin, Weijie Ou, Nir Pachter, Dima Sivov, Eliezer Levy
Proc. VLDB Endow.10