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https://doi.org/10.21256/zhaw-29619| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Toward sustainable serverless computing |
| Authors: | Patros, Panos Spillner, Josef Papadopoulos, Alessandro V. Varghese, Blesson Rana, Omer Dustdar, Schahram |
| et. al: | No |
| DOI: | 10.1109/MIC.2021.3093105 10.21256/zhaw-29619 |
| Published in: | IEEE Internet Computing |
| Volume(Issue): | 25 |
| Issue: | 6 |
| Page(s): | 42 |
| Pages to: | 50 |
| Issue Date: | 1-Nov-2021 |
| Publisher / Ed. Institution: | IEEE |
| ISSN: | 1089-7801 1941-0131 |
| Language: | English |
| Subjects: | Serverless; Sustainability; Green computing |
| Subject (DDC): | 004: Computer science |
| Abstract: | Although serverless computing generally involves executing short-lived "functions", the increasing migration to this computing paradigm requires careful consideration of energy and power requirements. Serverless computing is also viewed as an economically-driven computational approach, often influenced by the cost of computation, as users are charged for per-sub-second use of computational resources rather than the coarse-grained charging that is common with virtual machines and containers. To ensure that the startup times of serverless functions do not discourage their use, resource providers need to keep these functions hot, often by passing in synthetic data. We describe the real power consumption characteristics of serverless, based on execution traces reported in the literature, and describe potential strategies (some adopted from existing VM and container-based approaches) that can be used to reduce the energy overheads of serverless execution. Our analysis is, purposefully, biased towards the use of machine learning workloads as: (i) such workloads are increasingly being used widely across different applications; (ii) functions that implement machine learning algorithms can range in complexity from long-running (deep learning) vs. short-running (inference only), enabling us to consider serverless across a variety of possible execution behaviours. The general findings are also easily translatable to other domains. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/29619 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_Patros-etal_Towards-sustainable-serverless-computing_IEEE_AAM.pdf | Accepted Version | 352.59 kB | Adobe PDF |  View/Open |
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Patros, P., Spillner, J., Papadopoulos, A. V., Varghese, B., Rana, O., & Dustdar, S. (2021). Toward sustainable serverless computing. IEEE Internet Computing, 25(6), 42–50. https://doi.org/10.1109/MIC.2021.3093105
Patros, P. et al. (2021) ‘Toward sustainable serverless computing’, IEEE Internet Computing, 25(6), pp. 42–50. Available at: https://doi.org/10.1109/MIC.2021.3093105.
P. Patros, J. Spillner, A. V. Papadopoulos, B. Varghese, O. Rana, and S. Dustdar, “Toward sustainable serverless computing,” IEEE Internet Computing, vol. 25, no. 6, pp. 42–50, Nov. 2021, doi: 10.1109/MIC.2021.3093105.
PATROS, Panos, Josef SPILLNER, Alessandro V. PAPADOPOULOS, Blesson VARGHESE, Omer RANA und Schahram DUSTDAR, 2021. Toward sustainable serverless computing. IEEE Internet Computing. 1 November 2021. Bd. 25, Nr. 6, S. 42–50. DOI 10.1109/MIC.2021.3093105
Patros, Panos, Josef Spillner, Alessandro V. Papadopoulos, Blesson Varghese, Omer Rana, and Schahram Dustdar. 2021. “Toward Sustainable Serverless Computing.” IEEE Internet Computing 25 (6): 42–50. https://doi.org/10.1109/MIC.2021.3093105.
Patros, Panos, et al. “Toward Sustainable Serverless Computing.” IEEE Internet Computing, vol. 25, no. 6, Nov. 2021, pp. 42–50, https://doi.org/10.1109/MIC.2021.3093105.
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