RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems

Author:

Kruse Sebastian,Kaoudi Zoi,Contreras-Rojas Bertty,Chawla Sanjay,Naumann Felix,Quiané-Ruiz Jorge-Arnulfo

Abstract

AbstractData analytics are moving beyond the limits of a single platform. In this paper, we present the cost-based optimizer of Rheem, an open-source cross-platform system that copes with these new requirements. The optimizer allocates the subtasks of data analytic tasks to the most suitable platforms. Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. We extensively evaluate our optimizer under diverse real tasks. We show that our optimizer can perform tasks more than one order of magnitude faster when using multiple platforms than when using a single platform.

Funder

Technische Universität Berlin

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Reference64 articles.

1. Abadi, M., et al.: TensorFlow: a system for large-scale machine learning. In: USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp. 265–283 (2016)

2. Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D.J., Rasin, A., Silberschatz, A.: HadoopDB: an architectural hybrid of mapreduce and dbms technologies for analytical workloads. PVLDB 2(1), 922–933 (2009)

3. Agrawal, D., Ba, L., Berti-Equille, L., Chawla, S., Elmagarmid, A., Hammady, H., Idris, Y., Kaoudi, Z., Khayyat, Z., Kruse, S., Ouzzani, M., Papotti, P., Quiané-Ruiz, J.A., Tang, N., Zaki, M.J.: Rheem: enabling multi-platform task execution. In: SIGMOD, pp. 2069–2072 (2016)

4. Agrawal, D., Chawla, S., Contreras-Rojas, B., Elmagarmid, A.K., Idris, Y., Kaoudi, Z., Kruse, S., Lucas, J., Mansour, E., Ouzzani, M., Papotti, P., Quiané-Ruiz, J., Tang, N., Thirumuruganathan, S., Troudi, A.: RHEEM: enabling cross-platform data processing: may the big data be with you!. PVLDB 11(11), 1414–1427 (2018)

5. Agrawal, D., Chawla, S., Elmagarmid, A., Kaoudi, Z., Ouzzani, M., Papotti, P., Quiané-Ruiz, J.A., Tang, N., Zaki, M.J.: Road to freedom in big data analytics. In: EDBT, pp. 479–484 (2016)

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CLIC: An Extensible and Efficient Cross-Platform Data Analytics System;IEEE Transactions on Parallel and Distributed Systems;2024-01

2. Apache Wayang: A Unified Data Analytics Framework;ACM SIGMOD Record;2023-10-30

3. In-Situ Cross-Database Query Processing;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

4. Handling Iterations in Distributed Dataflow Systems;ACM Computing Surveys;2022-12-31

5. Operator Placement for Spatio-temporal Tasks;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3