Memory hierarchy characterization of NoSQL applications through full-system simulation
Ver/ Abrir
Registro completo
Mostrar el registro completo DCAutoría
Colaso Diego, Adrián; Prieto Torralbo, Pablo; Herrero Velasco, José Ángel; Abad Fidalgo, Pablo; Gregorio Menezo, Lucía; Puente Varona, Valentín; Gregorio Monasterio, José ÁngelFecha
2018-05Derechos
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Publicado en
IEEE Transactions on Parallel and Distributed Systems (2018), Vol.29, N.5, pp.1161-1173
Editorial
IEEE Computer Society
Enlace a la publicación
Resumen/Abstract
In this work, we conduct a detailed memory characterization of a representative set of modern data-management software (Cassandra, MongoDB, OrientDB and Redis) running an illustrative NoSQL benchmark suite (YCSB). These applications are widely popular NoSQL databases with different data models and features such as in-memory storage. We compare how these data-serving applications behave with respect to other well-known benchmarks, such as SPEC CPU2006, PARSEC and NAS Parallel Benchmark. The methodology employed for evaluation relies on state-of-the-art full-system simulation tools, such as gem5. This allows us to
explore configurations unattainable using performance monitoring units in actual hardware, being able to characterize memory properties. The results obtained suggest that NoSQL application behavior is not dissimilar to conventional workloads. Therefore, some of the optimizations present in state-of-the-art hardware might have a direct benefit. Nevertheless, there are some common aspects that are distinctive of conventional benchmarks that might be sufficiently relevant to be considered in architectural design. Strikingly, we
also found that most database engines, independently of aspects such as workload or database size, exhibit highly uniform behavior. Finally, we show that different data-base engines make highly distinctive demands on the memory hierarchy, some being more stringent than others.
Colecciones a las que pertenece
- D30 Artículos [72]
- D30 Proyectos de Investigación [83]