Exploring Energy-Consistency Trade-offs in Cassandra Cloud Storage System
Publicado en:Proceedings - Symposium On Computer Architecture And High Performance Computing. 2016-January 146-153 - 2016-01-01 2016-January(), DOI: 10.1109/SBAC-PAD.2015.28
Autores: Chihoub, Houssem-Eddine; Ibrahim, Shadi; Li, Yue; Antoniu, Gabriel; Perez, Maria S.; Bouge, Luc;
Afiliaciones
Resumen
Apache Cassandra is an open-source cloud storage system that offers multiple types of operation-level consistency including eventual consistency with multiple levels of guarantees and strong consistency. It is being used by many datacenter applications (e.g., Facebook and AppScale). Most existing research efforts have been dedicated to exploring trade-offs such as: consistency vs. performance, consistency vs. latency and consistency vs. monetary cost. In contrast, a little work is focusing on the consistency vs. energy trade-off. As power bills have become a substantial part of the monetary cost for operating a data-center, this paper aims to provide a clearer understanding of the interplay between consistency and energy consumption. Accordingly, a series of experiments have been conducted to explore the implication of different factors on the energy consumption in Cassandra. Our experiments have revealed a noticeable variation in the energy consumption depending on the consistency level. Furthermore, for a given consistency level, the energy consumption of Cassandra varies with the access pattern and the load exhibited by the application. This further analysis indicates that the uneven distribution of the load amongst different nodes also impacts the energy consumption in Cassandra. Finally, we experimentally compare the impact of four storage configuration and data partitioning policies on the energy consumption in Cassandra: interestingly, we achieve 23% energy saving when assigning 50% of the nodes to the hot pool for the applications with moderate ratio of reads and writes, while applying eventual (quorum) consistency. This study points to opportunities for future research on consistency-energy trade-offs and offers useful insight into designing energy-efficient techniques for cloud storage systems.
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Indicios de calidad
Impacto bibliométrico. Análisis de la aportación y canal de difusión
El trabajo ha sido publicado en la revista Proceedings - Symposium On Computer Architecture And High Performance Computing debido a la progresión y el buen impacto que ha alcanzado en los últimos años, según la agencia Scopus (SJR), se ha convertido en una referencia en su campo. En el año de publicación del trabajo, 2016, se encontraba en la posición , consiguiendo con ello situarse como revista Q1 (Primer Cuartil), en la categoría Hardware and Architecture.
Desde una perspectiva relativa, y atendiendo al indicador del impacto normalizado calculado a partir del Field Citation Ratio (FCR) de la fuente Dimensions, arroja un valor de: 2.5, lo que indica que, de manera comparada con trabajos en la misma disciplina y en el mismo año de publicación, lo ubica como trabajo citado por encima de la media. (fuente consultada: Dimensions Jul 2025)
De manera concreta y atendiendo a las diferentes agencias de indexación, el trabajo ha acumulado, hasta la fecha 2025-07-17, el siguiente número de citas:
- WoS: 7
- Scopus: 8
Impacto y visibilidad social
Análisis de liderazgo de los autores institucionales
Este trabajo se ha realizado con colaboración internacional, concretamente con investigadores de: France.