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BenchBox: A User-Driven Benchmarking Framework for Fat-Client Storage Systems

  • Identification data

    Identifier: imarina:6389373
    Authors:
    Gracia-Tinedo RZou CSanchez-Artigas MGarcia-Lopez P
    Abstract:
    © 1990-2012 IEEE. In many online storage services, end-users mainly interact with the system via 'fat' storage clients that integrate complex functionality. This means that to obtain a complete performance evaluation of one of such systems we may need to generate workloads on the client side that reproduce the behavior of real users. Unfortunately, this remains as an open research challenge today. We present BenchBox: A distributed performance evaluation framework for fat-client storage systems. On the one hand, BenchBox can generate workloads directly in storage clients that mimic users exhibiting a certain behavior, namely, user stereotypes. To this end, the framework enables to plug-in workload models and feed them with compact recipes that capture the behavior of user stereotypes (e.g., storage activity, type of file contents, data sharing links). On the other hand, BenchBox provides researchers with management and monitoring facilities to deploy experiments and analyze the performance of groups of storage clients. To demonstrate our framework, we equipped BenchBox with a 2-layer workload model that reproduces both the activity-e.g., types of operations, frequency-and data-e.g., file sizes, data types-of users in a Personal Cloud. We used this model to generate workloads based on user stereotypes that we identified in real traces (UbuntuOne). Our experiments with public providers show how distinct types of users impact on the performance and efficiency of Personal Clouds, which may guide their optimization.
  • Others:

    Author, as appears in the article.: Gracia-Tinedo R; Zou C; Sanchez-Artigas M; Garcia-Lopez P
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: García López, Pedro Antonio / GRACIA TINEDO, RAÚL / Sanchez Artigas, Marc
    Keywords: User modeling Personal clouds Performance evaluation Noves tecnologies de la informació i de la comunicació Client-centric benchmarking
    Abstract: © 1990-2012 IEEE. In many online storage services, end-users mainly interact with the system via 'fat' storage clients that integrate complex functionality. This means that to obtain a complete performance evaluation of one of such systems we may need to generate workloads on the client side that reproduce the behavior of real users. Unfortunately, this remains as an open research challenge today. We present BenchBox: A distributed performance evaluation framework for fat-client storage systems. On the one hand, BenchBox can generate workloads directly in storage clients that mimic users exhibiting a certain behavior, namely, user stereotypes. To this end, the framework enables to plug-in workload models and feed them with compact recipes that capture the behavior of user stereotypes (e.g., storage activity, type of file contents, data sharing links). On the other hand, BenchBox provides researchers with management and monitoring facilities to deploy experiments and analyze the performance of groups of storage clients. To demonstrate our framework, we equipped BenchBox with a 2-layer workload model that reproduces both the activity-e.g., types of operations, frequency-and data-e.g., file sizes, data types-of users in a Personal Cloud. We used this model to generate workloads based on user stereotypes that we identified in real traces (UbuntuOne). Our experiments with public providers show how distinct types of users impact on the performance and efficiency of Personal Clouds, which may guide their optimization.
    Thematic Areas: Signal processing Interdisciplinar Hardware and architecture Engineering, electrical & electronic Engenharias iv Computer science, theory & methods Computational theory and mathematics Ciências biológicas i Ciência da computação
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 10459219
    Author's mail: marc.sanchez@urv.cat pedro.garcia@urv.cat
    Author identifier: 0000-0002-9700-7318 0000-0002-9848-1492
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://ieeexplore.ieee.org/document/8325508
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Ieee Transactions On Parallel And Distributed Systems. 29 (10): 2191-2205
    APA: Gracia-Tinedo R; Zou C; Sanchez-Artigas M; Garcia-Lopez P (2018). BenchBox: A User-Driven Benchmarking Framework for Fat-Client Storage Systems. Ieee Transactions On Parallel And Distributed Systems, 29(10), 2191-2205. DOI: 10.1109/TPDS.2018.2819657
    Article's DOI: 10.1109/TPDS.2018.2819657
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Computational Theory and Mathematics,Computer Science, Theory & Methods,Engineering, Electrical & Electronic,Hardware and Architecture,Signal Processing
    User modeling
    Personal clouds
    Performance evaluation
    Noves tecnologies de la informació i de la comunicació
    Client-centric benchmarking
    Signal processing
    Interdisciplinar
    Hardware and architecture
    Engineering, electrical & electronic
    Engenharias iv
    Computer science, theory & methods
    Computational theory and mathematics
    Ciências biológicas i
    Ciência da computação
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