research-article

Dhalion: self-regulating stream processing in heron

Authors:

Avrilia Floratou,

Ashvin Agrawal,

Karthik RamasamyAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 10, Issue 12

Pages 1825 - 1836

https://doi.org/10.14778/3137765.3137786

Published: 01 August 2017 Publication History

Abstract

In recent years, there has been an explosion of large-scale real-time analytics needs and a plethora of streaming systems have been developed to support such applications. These systems are able to continue stream processing even when faced with hardware and software failures. However, these systems do not address some crucial challenges facing their operators: the manual, time-consuming and error-prone tasks of tuning various configuration knobs to achieve service level objectives (SLO) as well as the maintenance of SLOs in the face of sudden, unpredictable load variation and hardware or software performance degradation.

In this paper, we introduce the notion of self-regulating streaming systems and the key properties that they must satisfy. We then present the design and evaluation of Dhalion, a system that provides self-regulation capabilities to underlying streaming systems. We describe our implementation of the Dhalion framework on top of Twitter Heron, as well as a number of policies that automatically reconfigure Heron topologies to meet throughput SLOs, scaling resource consumption up and down as needed. We experimentally evaluate our Dhalion policies in a cloud environment and demonstrate their effectiveness. We are in the process of open-sourcing our Dhalion policies as part of the Heron project.

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Cited By

Ravikumar DYeo AZhu YLakra ANagulapalli HRavindran SSuh SDutta NFogarty APark YKhushalani STarafdar AParekh KKrishnan S(2024)Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud ServiceProceedings of the VLDB Endowment10.14778/3654621.365462917:7(1618-1627)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.14778/3654621.3654629
Chatziliadis XZacharatou EEracar AZeuch SMarkl V(2024)Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed TopologiesProceedings of the VLDB Endowment10.14778/3648160.364818617:6(1501-1514)Online publication date: 1-Feb-2024
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Justen DRitter DFraser CLamb ALee ABodner THaddad MZeuch SMarkl VBoehm M(2024)POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least ResistanceProceedings of the VLDB Endowment10.14778/3648160.364817517:6(1350-1363)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.14778/3648160.3648175
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Dhalion: self-regulating stream processing in heron
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Information

Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 10, Issue 12

August 2017

427 pages

ISSN:2150-8097

Editors:
Peter Boncz
CWI
,
Ken Salem
University of Waterloo

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Publisher

VLDB Endowment

Publication History

Published: 01 August 2017

Published in PVLDB Volume 10, Issue 12

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Cited By

Ravikumar DYeo AZhu YLakra ANagulapalli HRavindran SSuh SDutta NFogarty APark YKhushalani STarafdar AParekh KKrishnan S(2024)Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud ServiceProceedings of the VLDB Endowment10.14778/3654621.365462917:7(1618-1627)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.14778/3654621.3654629
Chatziliadis XZacharatou EEracar AZeuch SMarkl V(2024)Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed TopologiesProceedings of the VLDB Endowment10.14778/3648160.364818617:6(1501-1514)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.14778/3648160.3648186
Justen DRitter DFraser CLamb ALee ABodner THaddad MZeuch SMarkl VBoehm M(2024)POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least ResistanceProceedings of the VLDB Endowment10.14778/3648160.364817517:6(1350-1363)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.14778/3648160.3648175
Glaze NMcNeely TZhu YGleeson MSerr HBhopi RKrishnan S(2024)Lorentz: Learned SKU Recommendation Using Profile DataProceedings of the ACM on Management of Data10.1145/36549522:3(1-25)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3654952
Geldenhuys MScheinert DKao OThamsen LBalsamo SKnottenbelt WAbad CShang W(2024)Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration OptimizationProceedings of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629526.3645048(142-153)Online publication date: 7-May-2024
https://dl.acm.org/doi/10.1145/3629526.3645048
Pfister BScheinert DGeldenhuys MKao OBalsamo SKnottenbelt WAbad CShang W(2024)Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing SystemsProceedings of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629526.3645042(130-141)Online publication date: 7-May-2024
https://dl.acm.org/doi/10.1145/3629526.3645042
Siachamis GChristodoulou GPsarakis KFragkoulis Mvan Deursen AKatsifodimos A(2024)Evaluating Stream Processing AutoscalersProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3666036(110-122)Online publication date: 24-Jun-2024
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Zhang ZJin PXie XWang XLiu RWan S(2024)Online Nonstop Task Management for Storm-Based Distributed Stream Processing EnginesJournal of Computer Science and Technology10.1007/s11390-021-1629-939:1(116-138)Online publication date: 1-Feb-2024
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Vogel ADanelutto MTorquati MGriebler DFernandes L(2024)Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicoresThe Journal of Supercomputing10.1007/s11227-024-06191-w80:15(22213-22244)Online publication date: 1-Oct-2024
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Fragkoulis MCarbone PKalavri VKatsifodimos A(2024)A survey on the evolution of stream processing systemsThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-023-00819-833:2(507-541)Online publication date: 1-Mar-2024
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