Autor según el artículo: Gracia-Tinedo R; Zou C; Sanchez-Artigas M; Garcia-Lopez P
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: García López, Pedro Antonio / GRACIA TINEDO, RAÚL / Sanchez Artigas, Marc
Palabras clave: User modeling Personal clouds Performance evaluation Noves tecnologies de la informació i de la comunicació Client-centric benchmarking
Resumen: © 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.
Áreas temáticas: 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
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 10459219
Direcció de correo del autor: pedro.garcia@urv.cat marc.sanchez@urv.cat
Identificador del autor: 0000-0002-9848-1492 0000-0002-9700-7318
Fecha de alta del registro: 2023-05-13
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://ieeexplore.ieee.org/document/8325508
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Ieee Transactions On Parallel And Distributed Systems. 29 (10): 2191-2205
Referencia de l'ítem segons les normes 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
DOI del artículo: 10.1109/TPDS.2018.2819657
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2018
Tipo de publicación: Journal Publications
Repositori URV