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2024 RoEduNet Conference: Networking in Education and Research

19–20 Sept 2024
University POLITEHNICA of Bucharest
Europe/Bucharest timezone

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Session

Grid, Cloud & High Performance Computing in Science

20 Sept 2024, 09:30
EC101

EC101

Conveners

Grid, Cloud & High Performance Computing in Science

  • Florin Bogdan MANOLACHE (Carnegie Mellon University)

Description

Grid, Cloud & High Performance Computing in Science

Presentation materials

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  1. 52. Remote Control of Datacenter Assets
    Florin Bogdan MANOLACHE (Carnegie Mellon University)
    20/09/2024, 09:30
    Grid, Cloud & High Performance Computing in Science
    Paper presentation

    Operating computers located in remote data centers
    poses a set of drawbacks, including workflow inefficiencies and
    slow response time in case of malfunction. This paper presents a
    set of solutions tested and currently in the prototyping stage
    at Carnegie Mellon University, for handling remote control
    of datacenter computing assets. Integration with the existing
    campus automation and...

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  2. 54. Cloud-Based Distributed Solution for Optimizing the Search for Tourist Destinations
    Adrian Alexandrescu (Gheorghe Asachi Technical University of Iasi), Dinu Turcanu (Technical University of Moldova)
    20/09/2024, 09:50
    Grid, Cloud & High Performance Computing in Science
    Paper presentation

    The proposed system offers users the ability to efficiently search for information about various tourist destinations, accommodation options, and other relevant details. Users can explore a wide range of destinations, filter results according to their preferences, and access information about tourist attractions or destinations. Through the crawling process, the solution ensures broader search...

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  3. 92. OLAP performance of distributed PostgreSQL and MongoDB on OpenStack. Preliminary Results on Smaller Scale Factors
    Mrs Cătălina BADEA (UAIC)
    20/09/2024, 10:10
    Grid, Cloud & High Performance Computing in Science
    Paper presentation

    Traditional relational or SQL database servers and document/JSON database servers are part of state-of-the-art data architectures. Comparing the database query (OLAP) performance of relational and document data stores is challenging because of myriads of options in data modeling, query features, data distribution, processing distribution, etc. Based on the TPC-H benchmark tools, this paper...

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  4. 96. Query Performance Comparison of PostgreSQL vs. Neo4j. A Basic Distributed Setup on OpenStack
    Codrin-Stefan Eșanu (UAIC)
    20/09/2024, 10:30
    Cloud Computing and Network Virtualisation
    Paper presentation

    Abstract—Among the NoSQL technologies, Neo4j is one of the most popular solutions for managing graph databases and an early adopter on transactions (contrary to other NoSQL Systems). Neo4j also provides a high-level data processing language – Cypher. Despite its popularity, there are no comprehensive studies on comparing the query performance of Neo4j relative to SQL or other NoSQL...

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