Abstract
Serverless is an emerging paradigm that greatly simplifies the usage of cloud resources providing unprecedented auto-scaling, simplicity, and cost-efficiency features. Thus, more and more individuals and organizations adopt it, to increase their productivity and focus exclusively on the functionality of their application. Additionally, the cloud is expanding towards the deep edge, forming a continuum in which the event-driven nature of the serverless paradigm seems to make a perfect match. The extreme heterogeneity introduced, in terms of diverse hardware resources and frameworks available, requires systematic approaches for evaluating serverless deployments. In this paper, we propose a methodology for evaluating serverless frameworks deployed on hybrid edge-cloud clusters. Our methodology focuses on key performance knobs of the serverless paradigm and applies a systematic way for evaluating these aspects in hybrid edge-cloud environments. We apply our methodology on three open-source serverless frameworks, OpenFaaS, Openwhisk, and Lean Openwhisk respectively, and we provide key insights regarding their performance implications over resource-constrained edge devices.
This work is partially funded by the EU Horizon 2020 research and innovation programme, under project EVOLVE, grant agreement No 825061 and under project AIatEDGE, grant agreement No 101015922.
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References
Apache kafka. https://kafka.apache.org/
AWS lambda. https://aws.amazon.com/lambda/
Google cloud functions. https://cloud.google.com/functions
Lightweight kubernetes - k3s. https://k3s.io/
Loadtest. https://github.com/alexfernandez/loadtest
Openfaas. https://www.openfaas.com/
Prometheus. https://prometheus.io. Accessed 7 Apr 2021
Serverless architecture market. https://www.marketsandmarkets.com/PressReleases/serverless-architecture.asp
Agache, A., et al.: Firecracker: Lightweight virtualization for serverless applications. In: 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2020), pp. 419–434 (2020)
Aslanpour, M.S., et al.: Serverless edge computing: vision and challenges. In: 2021 Australasian Computer Science Week Multiconference, pp. 1–10 (2021)
Baldini, I., et al.: Cloud-native, event-based programming for mobile applications. In: Proceedings of the International Conference on Mobile Software Engineering and Systems, pp. 287–288 (2016)
Breitgand, D.: Lean openwhisk. https://medium.com/openwhisk/lean-openwhisk-open-source-faas-for-edge-computing-fb823c6bbb9b. Accessed 7 Apr 2021
Copik, M., Kwasniewski, G., Besta, M., Podstawski, M., Hoefler, T.: SEBS: a serverless benchmark suite for function-as-a-service computing. arXiv preprint arXiv:2012.14132 (2020)
Gadepalli, P.K., Peach, G., Cherkasova, L., Aitken, R., Parmer, G.: Challenges and opportunities for efficient serverless computing at the edge. In: 2019 38th Symposium on Reliable Distributed Systems (SRDS), pp. 261–2615. IEEE (2019)
Hall, A., Ramachandran, U.: An execution model for serverless functions at the edge. In: Proceedings of the International Conference on Internet of Things Design and Implementation, pp. 225–236 (2019)
Jonas, E., et al.: Cloud programming simplified: a Berkeley view on serverless computing. arXiv preprint arXiv:1902.03383 (2019)
Lee, H., Satyam, K., Fox, G.: Evaluation of production serverless computing environments. In: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), pp. 442–450. IEEE (2018)
Li, J., Kulkarni, S.G., Ramakrishnan, K., Li, D.: Understanding open source serverless platforms: Design considerations and performance. In: Proceedings of the 5th International Workshop on Serverless Computing, pp. 37–42 (2019)
Nikolos, O.L., Papazafeiropoulos, K., Psomadakis, S., Nanos, A., Koziris, N.: Extending storage support for unikernel containers. In: Proceedings of the 5th International Workshop on Serverless Computing, pp. 31–36 (2019)
Park, M., Bhardwaj, K., Gavrilovska, A.: Toward lighter containers for the edge. In: 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 2020) (2020)
Pfandzelter, T., Bermbach, D.: TinyFaas: a lightweight FaaS platform for edge environments. In: 2020 IEEE International Conference on Fog Computing (ICFC), pp. 17–24. IEEE (2020)
Rausch, T., Hummer, W., Muthusamy, V., Rashed, A., Dustdar, S.: Towards a serverless platform for edge AI. In: 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 2019) (2019)
Rausch, T., Rashed, A., Dustdar, S.: Optimized container scheduling for data-intensive serverless edge computing. Future Gener. Comput. Syst. 114, 259–271 (2021)
Shahrad, M., Balkind, J., Wentzlaff, D.: Architectural implications of function-as-a-service computing. In: Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, pp. 1063–1075 (2019)
Wang, L., Li, M., Zhang, Y., Ristenpart, T., Swift, M.: Peeking behind the curtains of serverless platforms. In: 2018 USENIX Annual Technical Conference (USENIX ATC 2018), pp. 133–146 (2018)
Xiong, Y., Sun, Y., Xing, L., Huang, Y.: Extend cloud to edge with KubeEdge. In: 2018 IEEE/ACM Symposium on Edge Computing (SEC), pp. 373–377. IEEE (2018)
Yu, T., et al.: Characterizing serverless platforms with serverlessbench. In: Proceedings of the 11th ACM Symposium on Cloud Computing, pp. 30–44 (2020)
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Tzenetopoulos, A. et al. (2021). FaaS and Curious: Performance Implications of Serverless Functions on Edge Computing Platforms. In: Jagode, H., Anzt, H., Ltaief, H., Luszczek, P. (eds) High Performance Computing. ISC High Performance 2021. Lecture Notes in Computer Science(), vol 12761. Springer, Cham. https://doi.org/10.1007/978-3-030-90539-2_29
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