Autor segons l'article: Eizaguirre, GT; Sánchez-Artigas, M
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Eizaguirre Suárez, Germán Telmo / Sanchez Artigas, Marc
Paraules clau: Shuffle Serverless computing Object storage I/o optimization
Resum: Serverless platforms offer high resource elasticity and pay-as-you-go billing, making them a compelling choice for data analytics. To craft a “pure” serverless solution, the common practice is to transfer intermediate data between serverless functions via serverless object storage (IBM COS; AWS S3). However, prior works have led to inconclusive results about the performance of object storage systems, since they have left large margin for optimization. To verify that object storage has been underrated, we devise a novel shuffle manager for serverless data analytics called SEER. Specifically, SEER dynamically chooses between two shuffle algorithms to maximize performance. The algorithm choice is made online based on some predictive models, and very importantly, without end users having to specify intermediate shuffle data sizes at the time of the job submission. We integrate SEER with PyWren-IBM [31], a well-known serverless analytics framework, and evaluate it against both serverful (e.g., Spark) and serverless systems (e.g., Google BigQuery, Caerus [46] and SONIC [22]). Our results certify that our new shuffle manager can deliver performance improvements over them.
Àrees temàtiques: Theoretical computer science Software Matemática / probabilidade e estatística Interdisciplinar Hardware and architecture Engenharias iv Engenharias iii Computer science, theory & methods Computer networks and communications Ciência da computação Artificial intelligence
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: germantelmo.eizaguirre@urv.cat marc.sanchez@urv.cat germantelmo.eizaguirre@urv.cat
Identificador de l'autor: 0000-0002-9700-7318
Data d'alta del registre: 2024-01-13
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0743731523001338
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Journal Of Parallel And Distributed Computing. 183
Referència de l'ítem segons les normes APA: Eizaguirre, GT; Sánchez-Artigas, M (2024). A Seer knows best: Auto-tuned object storage shuffling for serverless analytics. Journal Of Parallel And Distributed Computing, 183(), -. DOI: 10.1016/j.jpdc.2023.104763
DOI de l'article: 10.1016/j.jpdc.2023.104763
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2024
Tipus de publicació: Journal Publications
Repositori URV