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FADE: FaaS-inspired application decomposition and Energy-aware function placement on the Edge

Authors:

Achilleas Tzenetopoulos,

Charalampos Marantos,

Giannos Gavrielides,

Sotirios Xydis,

Dimitrios SoudrisAuthors Info & Claims

SCOPES '21: Proceedings of the 24th International Workshop on Software and Compilers for Embedded Systems

Pages 7 - 10

https://doi.org/10.1145/3493229.3493306

Published: 13 November 2021 Publication History

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Abstract

Lately, more and more applications are deployed on heterogeneous, power-constrained edge-computing devices. Bringing computation closer to the data, contributes both to latency and energy consumption reduction due to the elimination of excessive data transfers. However, while the main concern in such environments is the minimization of energy consumption, the heterogeneity in compute resources found at the edge may lead to Quality of Service (QoS) violations. At the same time, Serverless computing, the next frontier of Cloud computing has emerged to offer unprecedented elasticity by utilizing fine-grained, stateless functions. The reduction in the execution time and the modest memory footprint of such decomposed applications, allow for fine-grained resource multiplexing. In this work, we propose a methodology for application decomposition into fine-grained functions and energy-aware function placement on a cluster of edge devices subject to user-specified QoS guarantees.

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Cited By

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Raith PRattihalli GDhakal AChalamalasetti SMilojicic DFrachtenberg ENastic SDustdar S(2024)Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid59990.2024.00042(299-306)Online publication date: 6-May-2024
https://doi.org/10.1109/CCGrid59990.2024.00042
Hudson NKhamfroush HBaughman MLucani DChard KFoster I(2024)QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computingFuture Generation Computer Systems10.1016/j.future.2024.03.035157(250-263)Online publication date: Aug-2024
https://doi.org/10.1016/j.future.2024.03.035
Serrano-Gutierrez PAyala I(2024)Using Energy Consumption for Self-adaptation in FaaSReuse and Software Quality10.1007/978-3-031-66459-5_8(123-134)Online publication date: 19-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-66459-5_8
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FADE: FaaS-inspired application decomposition and Energy-aware function placement on the Edge

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Published In

SCOPES '21: Proceedings of the 24th International Workshop on Software and Compilers for Embedded Systems

November 2021

48 pages

ISBN:9781450391665

DOI:10.1145/3493229

Editor:
Sander Stuijk
Eindhoven University of Technology, The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

EDAA: European Design Automation Association
SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2021

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SCOPES '21

SCOPES '21: 24th International Workshop on Software and Compilers for Embedded Systems

November 1 - 2, 2021

Eindhoven, Netherlands

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SCOPES '21 Paper Acceptance Rate 7 of 15 submissions, 47%;

Overall Acceptance Rate 38 of 79 submissions, 48%

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Cited By

View all

Raith PRattihalli GDhakal AChalamalasetti SMilojicic DFrachtenberg ENastic SDustdar S(2024)Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid59990.2024.00042(299-306)Online publication date: 6-May-2024
https://doi.org/10.1109/CCGrid59990.2024.00042
Hudson NKhamfroush HBaughman MLucani DChard KFoster I(2024)QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computingFuture Generation Computer Systems10.1016/j.future.2024.03.035157(250-263)Online publication date: Aug-2024
https://doi.org/10.1016/j.future.2024.03.035
Serrano-Gutierrez PAyala I(2024)Using Energy Consumption for Self-adaptation in FaaSReuse and Software Quality10.1007/978-3-031-66459-5_8(123-134)Online publication date: 19-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-66459-5_8
Serrano-Gutierrez PAyala IFuentes L(2022)FUSPAQ: A Function Selection Platform to Adjust QoS in a FaaS ApplicationService-Oriented Computing – ICSOC 2022 Workshops10.1007/978-3-031-26507-5_20(249-260)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-26507-5_20
Serrano-Gutierrez PAyala IFuentes L(2022)A FaaS Approach for Long-Term Monitoring in RehabilitationProceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022)10.1007/978-3-031-21333-5_44(437-448)Online publication date: 21-Nov-2022
https://doi.org/10.1007/978-3-031-21333-5_44

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