Analisis Komprehensif Arsitektur Serverless Container dan Edge v8 Isolate pada Penerapan Industri
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Jun 18, 2026
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Edge Computing, Serverless; Latensi, Waktu Respons, Cold Start, Hono.js
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Penelitian ini menyajikan analisis komparatif performa waktu respons antara arsitektur Serverless (berbasis kontainer AWS Lambda) dan Edge Computing (berbasis V8 Isolate). Evaluasi difokuskan pada penanganan beban komputasi CPU menggunakan framework Hono.js melalui eksekusi 1.000 request konkuren per platform. Pengukuran berpusat pada Client-Side Round Trip Time (RTT) untuk memastikan perbandingan yang objektif, mengabaikan latensi server-side akibat restriksi keamanan kuantisasi waktu pada lingkungan V8 Isolate. Hasil uji empiris menunjukkan bahwa Vercel mencatatkan rata-rata RTT sebesar 432,40 ms, 76,29% lebih cepat dibandingkan Cloudflare Workers yang mencapai 762,29 ms. Uji signifikansi Mann-Whitney U mengonfirmasi perbedaan ini secara statistik (p < 0.05). Lebih lanjut, analisis konsistensi (CV) menempatkan Vercel jauh lebih stabil dengan nilai 0,116 dibandingkan Cloudflare yang bernilai 0,527. Cloudflare juga memperlihatkan selisih latensi cold start yang lebih besar pada fase warm-up (28,03 ms) dibandingkan Vercel (7,16 ms). Kesimpulan penelitian ini mengindikasikan bahwa untuk beban komputasi terpusat berbasis REST API, arsitektur container-based memberikan stabilitas, latensi tail (P99) yang lebih rendah, dan efisiensi total yang lebih superior dibandingkan Edge Isolate, mematahkan asumsi teoretis mengenai keunggulan absolut jaringan Edge dalam skenario industri.
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Harpanda, A., Nawaf Akbar, M., & Hidayat, R. (2026). Analisis Komprehensif Arsitektur Serverless Container dan Edge v8 Isolate pada Penerapan Industri. JITSI : Jurnal Ilmiah Teknologi Sistem Informasi, 7(2), 97 - 104. https://doi.org/10.62527/jitsi.7.2.569
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Referensi
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[20] A. Alanda, H. A. Mooduto, H. Amnur and M. Fadhel, "Scaling Kubernetes Architectures for High Availability in Cloud," 2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI), Jakarta, Indonesia, 2025, pp. 818-823, doi: 10.1109/ICoCSETI63724.2025.11020084.
[21] S. Ristov, R. Farahani, and R. Prodan, “Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaS,” in Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, Coimbra Portugal: ACM, Apr. 2023, pp. 227–231. doi: 10.1145/3578245.3585333.
[22] M. S. Aslanpour et al., “Serverless Edge Computing: Vision and Challenges,” in 2021 Australasian Computer Science Week Multiconference, Dunedin New Zealand: ACM, Feb. 2021, pp. 1–10. doi: 10.1145/3437378.3444367.
[23] T. Rausch, A. Rashed, and S. Dustdar, “Optimized container scheduling for data-intensive serverless edge computing,” Future Generation Computer Systems, vol. 114, pp. 259–271, Jan. 2021, doi: 10.1016/j.future.2020.07.017
[24] R. Firman, Yuhefizar, and H. Amnur, “Implementasi Openstack untuk Private Cloud pada mata kuliah Administrasi server”, jitsi, vol. 1, no. 2, pp. 75 - 79, Jun. 2020.
[25] S. Ristov, C. Hollaus, and M. Hautz, “Colder Than the Warm Start and Warmer Than the Cold Start! Experience the Spawn Start in FaaS Providers,” in Proceedings of the 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems, Salerno Italy: ACM, Jul. 2022, pp. 35–39. doi: 10.1145/3524053.3542751
[2] C. Marcelino, N. Krennmair, T. W. Pusztai, and S. Nastic, “Lumos: Performance Characterization of WebAssembly as a Serverless Runtime in the Edge-Cloud Continuum,” in Proceedings of the 15th International Conference on the Internet of Things, Vienna Austria: ACM, Nov. 2025, pp. 113–121. doi: 10.1145/3770501.3770515.
[3] C. Marcelino, J. Shahhoud, and S. Nastic, “GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum,” in Proceedings of the 14th International Conference on the Internet of Things, Oulu Finland: ACM, Nov. 2024, pp. 56–64. doi: 10.1145/3703790.3703797.
[4] C. Marcelino and S. Nastic, “CWASI: A WebAssembly Runtime Shim for Inter-function Communication in the Serverless Edge-Cloud Continuum,” in Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing, Wilmington DE USA: ACM, Dec. 2023, pp. 158–170. doi: 10.1145/3583740.3626611.
[5] P. Raith, S. Nastic, and S. Dustdar, “Serverless Edge Computing Where We Are and What Lies Ahead,” IEEE Internet Comput., vol. 27, no. 3, pp. 50–64, May 2023, doi: 10.1109/MIC.2023.3260939.
[6] M. S. Aslanpour, A. N. Toosi, M. A. Cheema, and R. Gaire, “Energy-Aware Resource Scheduling for Serverless Edge Computing,” in 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Taormina, Italy: IEEE, May 2022, pp. 190–199. doi: 10.1109/CCGrid54584.2022.00028.
[7] S. Pan, H. Zhao, Z. Cai, D. Li, R. Ma, and H. Guan, “Sustainable Serverless Computing with Cold-start Optimization and Automatic Workflow Resource Scheduling,” IEEE Trans. Sustain. Comput., pp. 1–12, 2024, doi: 10.1109/TSUSC.2023.3311197.
[8] K. R. Rajput, C. D. Kulkarni, B. Cho, W. Wang, and I. K. Kim, “EdgeFaaSBench: Benchmarking Edge Devices Using Serverless Computing,” in 2022 IEEE International Conference on Edge Computing and Communications (EDGE), Barcelona, Spain: IEEE, Jul. 2022, pp. 93–103. doi: 10.1109/EDGE55608.2022.00024.
[9] M. Ghorbian and M. Ghobaei-Arani, “A survey on the cold start latency approaches in serverless computing: an optimization-based perspective,” Computing, vol. 106, no. 11, pp. 3755–3809, Nov. 2024, doi: 10.1007/s00607-024-01335-5.
[10] V. Kjorveziroski and S. Filiposka, “Kubernetes distributions for the edge: serverless performance evaluation,” J Supercomput, vol. 78, no. 11, pp. 13728–13755, Jul. 2022, doi: 10.1007/s11227-022-04430-6.
[11] V. Kjorveziroski and S. Filiposka, “WebAssembly as an Enabler for Next Generation Serverless Computing,” J Grid Computing, vol. 21, no. 3, p. 34, Sep. 2023, doi: 10.1007/s10723-023-09669-8.
[12] V. Kjorveziroski and S. Filiposka, “WebAssembly Orchestration in the Context of Serverless Computing,” J Netw Syst Manage, vol. 31, no. 3, p. 62, Jul. 2023, doi: 10.1007/s10922-023-09753-0.
[13] S. Kounev et al., “Serverless Computing: What It Is, and What It Is Not?,” Commun. ACM, vol. 66, no. 9, pp. 80–92, Sep. 2023, doi: 10.1145/3587249.
[14] Z. Li, L. Guo, J. Cheng, Q. Chen, B. He, and M. Guo, “The Serverless Computing Survey: A Technical Primer for Design Architecture,” ACM Comput. Surv., vol. 54, no. 10s, pp. 1–34, Jan. 2022, doi: 10.1145/3508360.
[15] H. Shafiei, A. Khonsari, and P. Mousavi, “Serverless Computing: A Survey of Opportunities, Challenges, and Applications,” ACM Comput. Surv., vol. 54, no. 11s, pp. 1–32, Jan. 2022, doi: 10.1145/3510611.
[16] S. Subedi, S. Kumar, N. Jawad, and A. L. Kor, “Energy-Aware Latency Optimization for Scheduling Serverless Workload in Edge Computing Environment,” in Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, France France: ACM, Dec. 2025, pp. 1–10. doi: 10.1145/3773274.3774276.
[17] M. Ghorbian, M. Ghobaei-Arani, and L. Esmaeili, “Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge,” Sci Rep, vol. 15, no. 1, p. 24173, Jul. 2025, doi: 10.1038/s41598-025-04214-x.
[18] M. Golec et al., “MASTER: Machine Learning-Based Cold Start Latency Prediction Framework in Serverless Edge Computing Environments for Industry 4.0,” IEEE J. Sel. Areas Sensors, vol. 1, pp. 36–48, 2024, doi: 10.1109/JSAS.2024.3396440.
[19] A. Sherawat, S. B. Nath, and S. K. Addya, “Optimizing Completion Time of Requests in Serverless Computing,” J Netw Syst Manage, vol. 32, no. 2, p. 28, Apr. 2024, doi: 10.1007/s10922-024-09800-4.
[20] A. Alanda, H. A. Mooduto, H. Amnur and M. Fadhel, "Scaling Kubernetes Architectures for High Availability in Cloud," 2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI), Jakarta, Indonesia, 2025, pp. 818-823, doi: 10.1109/ICoCSETI63724.2025.11020084.
[21] S. Ristov, R. Farahani, and R. Prodan, “Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaS,” in Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, Coimbra Portugal: ACM, Apr. 2023, pp. 227–231. doi: 10.1145/3578245.3585333.
[22] M. S. Aslanpour et al., “Serverless Edge Computing: Vision and Challenges,” in 2021 Australasian Computer Science Week Multiconference, Dunedin New Zealand: ACM, Feb. 2021, pp. 1–10. doi: 10.1145/3437378.3444367.
[23] T. Rausch, A. Rashed, and S. Dustdar, “Optimized container scheduling for data-intensive serverless edge computing,” Future Generation Computer Systems, vol. 114, pp. 259–271, Jan. 2021, doi: 10.1016/j.future.2020.07.017
[24] R. Firman, Yuhefizar, and H. Amnur, “Implementasi Openstack untuk Private Cloud pada mata kuliah Administrasi server”, jitsi, vol. 1, no. 2, pp. 75 - 79, Jun. 2020.
[25] S. Ristov, C. Hollaus, and M. Hautz, “Colder Than the Warm Start and Warmer Than the Cold Start! Experience the Spawn Start in FaaS Providers,” in Proceedings of the 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems, Salerno Italy: ACM, Jul. 2022, pp. 35–39. doi: 10.1145/3524053.3542751