survey

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions

Authors:

Samodha Pallewatta,

Vassilis Kostakos,

Rajkumar BuyyaAuthors Info & Claims

ACM Computing Surveys, Volume 55, Issue 14s

Article No.: 321, Pages 1 - 43

https://doi.org/10.1145/3592598

Published: 17 July 2023 Publication History

Abstract

The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained devices at the edge of the network for efficient deployment of latency-critical and bandwidth-hungry IoT application services. Moreover, MicroService Architecture (MSA) is increasingly adopted to keep up with the rapid development and deployment needs of fast-evolving IoT applications. Due to the fine-grained modularity of the microservices and their independently deployable and scalable nature, MSA exhibits great potential in harnessing Fog and Cloud resources, thus giving rise to novel paradigms like Osmotic computing. The loosely coupled nature of the microservices, aided by the container orchestrators and service mesh technologies, enables the dynamic composition of distributed and scalable microservices to achieve diverse performance requirements of the IoT applications using distributed Fog resources. To this end, efficient placement of microservice plays a vital role, and scalable placement algorithms are required to utilise the said characteristics of the MSA while overcoming novel challenges introduced by the architecture. Thus, we present a comprehensive taxonomy of recent literature on microservices-based IoT applications placement within Fog computing environments. Furthermore, we organise multiple taxonomies to capture the main aspects of the placement problem, analyse and classify related works, identify research gaps within each category, and discuss future research directions.

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Cited By

Chen STang HZhao MChen YYang XHu K(2024)Efficient Scheduling of Energy-Constrained Tasks in Internet of Things Edge Computing NetworksInternational Journal of Swarm Intelligence Research10.4018/IJSIR.35022115:1(1-17)Online publication date: 17-Sep-2024
https://dl.acm.org/doi/10.4018/IJSIR.350221
Umamaheswari P(2024)From Theory to PracticeAdvanced Applications in Osmotic Computing10.4018/979-8-3693-1694-8.ch005(73-89)Online publication date: 29-Mar-2024
https://doi.org/10.4018/979-8-3693-1694-8.ch005
Arcas GCioara TAnghel ILazea DHangan A(2024)Edge Offloading in Smart GridSmart Cities10.3390/smartcities70100287:1(680-711)Online publication date: 19-Feb-2024
https://doi.org/10.3390/smartcities7010028
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Index Terms

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. General and reference
  1. Document types
    1. General literature

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Fog computing paradigm has created innovation opportunities within Internet of Things (IoT) domain by extending cloud services to the edge of the network. Due to the distributed, heterogeneous and resource constrained nature of the Fog computing nodes, ...
QoS-aware placement of microservices-based IoT applications in Fog computing environments
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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 55, Issue 14s

December 2023

1355 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3606253

Editor:
Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 17 July 2023

Online AM: 12 April 2023

Accepted: 02 April 2023

Revised: 28 March 2023

Received: 05 January 2023

Published in CSUR Volume 55, Issue 14s

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Cited By

Chen STang HZhao MChen YYang XHu K(2024)Efficient Scheduling of Energy-Constrained Tasks in Internet of Things Edge Computing NetworksInternational Journal of Swarm Intelligence Research10.4018/IJSIR.35022115:1(1-17)Online publication date: 17-Sep-2024
https://dl.acm.org/doi/10.4018/IJSIR.350221
Umamaheswari P(2024)From Theory to PracticeAdvanced Applications in Osmotic Computing10.4018/979-8-3693-1694-8.ch005(73-89)Online publication date: 29-Mar-2024
https://doi.org/10.4018/979-8-3693-1694-8.ch005
Arcas GCioara TAnghel ILazea DHangan A(2024)Edge Offloading in Smart GridSmart Cities10.3390/smartcities70100287:1(680-711)Online publication date: 19-Feb-2024
https://doi.org/10.3390/smartcities7010028
Souza DIwashima GFarias da Costa VBarbosa Cde Souza JZimbrão G(2024)Architectural Trends in Collaborative Computing: Approaches in the Internet of Everything EraFuture Internet10.3390/fi1612044516:12(445)Online publication date: 29-Nov-2024
https://doi.org/10.3390/fi16120445
Tomer VSharma SDavis M(2024)Resilience in the Internet of Medical Things: A Review and Case StudyFuture Internet10.3390/fi1611043016:11(430)Online publication date: 20-Nov-2024
https://doi.org/10.3390/fi16110430
Šatkauskas NVenčkauskas A(2024)Multi-Agent Dynamic Fog Service Placement ApproachFuture Internet10.3390/fi1607024816:7(248)Online publication date: 13-Jul-2024
https://doi.org/10.3390/fi16070248
Zhang XLiang JLu YZhang PBi Y(2024)Differentiated Security Requirements: An Exploration of Microservice Placement Algorithms in Internet of VehiclesElectronics10.3390/electronics1308159713:8(1597)Online publication date: 22-Apr-2024
https://doi.org/10.3390/electronics13081597
El Akhdar ABaidada CKartit A(2024)Adaptability of Microservices Architecture in IoT Systems : A Comprehensive ReviewProceedings of the 7th International Conference on Networking, Intelligent Systems and Security10.1145/3659677.3659734(1-9)Online publication date: 18-Apr-2024
https://dl.acm.org/doi/10.1145/3659677.3659734
Herrera JBerrocal JForti SBrogi AMurillo J(2024)Multi-Layered Continuous Reasoning for Cloud-IoT Application ManagementIEEE Transactions on Services Computing10.1109/TSC.2024.3451239(1-14)Online publication date: 2024
https://doi.org/10.1109/TSC.2024.3451239
Bai HXu MYe KBuyya RXu C(2024)DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based ClustersIEEE Transactions on Services Computing10.1109/TSC.2024.3433388(1-12)Online publication date: 2024
https://doi.org/10.1109/TSC.2024.3433388
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