Article

CLARINET: WAN-aware optimization for analytics queries

Authors:

Raajay Viswanathan,

Ganesh Ananthanarayanan,

Aditya AkellaAuthors Info & Claims

OSDI'16: Proceedings of the 12th USENIX conference on Operating Systems Design and Implementation

Pages 435 - 450

Published: 02 November 2016 Publication History

Abstract

Recent work has made the case for geo-distributed analytics, where data collected and stored at multiple datacenters and edge sites world-wide is analyzed in situ to drive operational and management decisions. A key issue in such systems is ensuring low response times for analytics queries issued against geo-distributed data. A central determinant of response time is the query execution plan (QEP). Current query optimizers do not consider the network when deriving QEPs, which is a key drawback as the geo-distributed sites are connected via WAN links with heterogeneous and modest bandwidths, unlike intra-datacenter networks. We propose CLARINET, a novel WAN-aware query optimizer. Deriving a WAN-aware QEP requires working jointly with the execution layer of analytics frameworks that places tasks to sites and performs scheduling. We design efficient heuristic solutions in CLARINET to make such a joint decision on the QEP. Our experiments with a real prototype deployed across EC2 datacenters, and large-scale simulations using production workloads show that CLARINET improves query response times by ≥ 50% compared to state-of-the-art WAN-aware task placement and scheduling.

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Shu JJin XMa YLiu XHuang GChiesa MChoffnes DMarkopoulou ABarcellos M(2021)Cost-effective data analytics across multiple cloud regionsProceedings of the SIGCOMM '21 Poster and Demo Sessions10.1145/3472716.3472842(1-3)Online publication date: 23-Aug-2021
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CLARINET: WAN-aware optimization for analytics queries
1. General and reference
  1. Cross-computing tools and techniques
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
    2. Machine learning theory
      1. Reinforcement learning

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Published In

cover image ACM Other conferences

OSDI'16: Proceedings of the 12th USENIX conference on Operating Systems Design and Implementation

November 2016

786 pages

ISBN:9781931971331

Program Chairs:
Kimberly Keeton
Hewlett Packard Labs
,
Timothy Roscoe
ETH Zurich

Sponsors

VMware
NetApp
Google Inc.
Microsoft: Microsoft
Facebook: Facebook

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

Publisher

USENIX Association

United States

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Published: 02 November 2016

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Cited By

Wolfrath JChandra A(2023)PlexusProceedings of the 2023 ACM Symposium on Cloud Computing10.1145/3620678.3624643(1-16)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1145/3620678.3624643
Shu JJin XMa YLiu XHuang GChiesa MChoffnes DMarkopoulou ABarcellos M(2021)Cost-effective data analytics across multiple cloud regionsProceedings of the SIGCOMM '21 Poster and Demo Sessions10.1145/3472716.3472842(1-3)Online publication date: 23-Aug-2021
https://dl.acm.org/doi/10.1145/3472716.3472842
Lai FYou JZhu XMadhyastha HChowdhury MBhagwan RPorter G(2020)SolProceedings of the 17th Usenix Conference on Networked Systems Design and Implementation10.5555/3388242.3388262(273-288)Online publication date: 25-Feb-2020
https://dl.acm.org/doi/10.5555/3388242.3388262
Yang YEo JKim GKim JLee SSeo JSong WChun BDan TDahlia M(2019)Apache nemoProceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference10.5555/3358807.3358824(177-190)Online publication date: 10-Jul-2019
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Abdi MMosayyebzadeh AHajkazemi MTurk AKrieger ODesnoyers PYadgar GNoh S(2019)Caching in the multiverseProceedings of the 11th USENIX Conference on Hot Topics in Storage and File Systems10.5555/3357062.3357087(19-19)Online publication date: 8-Jul-2019
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Hong RChandra ADelimitrou CPorts D(2019)DLionProceedings of the 11th USENIX Conference on Hot Topics in Cloud Computing10.5555/3357034.3357048(11-11)Online publication date: 8-Jul-2019
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Huang YShi YZhong ZFeng YCheng JLi JFan HLi CGuan TZhou J(2019)YugongProceedings of the VLDB Endowment10.14778/3352063.335213212:12(2155-2169)Online publication date: 1-Aug-2019
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Kumar DLi JChandra ASitaraman R(2019)A TTL-based Approach for Data Aggregation in Geo-distributed Streaming AnalyticsProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/3341617.33261443:2(1-27)Online publication date: 19-Jun-2019
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Shao WXu FChen LZheng HLiu F(2019)Stage Delay SchedulingProceedings of the 48th International Conference on Parallel Processing10.1145/3337821.3337872(1-11)Online publication date: 5-Aug-2019
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Michailidou AGounaris ADesai BAnagnostopoulos DManolopoulos YNikolaidou M(2019)A fast solution for bi-objective traffic minimization in geo-distributed data flowsProceedings of the 23rd International Database Applications & Engineering Symposium10.1145/3331076.3331107(1-10)Online publication date: 10-Jun-2019
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