Citation :

Anju Bhole, 2023. "Serverless Computing - Benefits And Challenges", ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 3: 149-156.

Abstract :

Serverless computing, commonly referred to as Function-as-a-Service (FaaS), has emerged as a transformative model within cloud computing, allowing developers to concentrate on coding without the necessity of managing the underlying infrastructure. This model presents several notable advantages, including cost efficiency, automatic scalability, and streamlined application management. With prominent cloud providers such as AWS, Microsoft Azure, and Google Cloud providing serverless platforms, organizations can minimize operational complexities while attaining scalable and cost-effective solutions. Nonetheless, serverless computing also introduces substantial challenges, including cold start latency, vendor lock-in, restricted execution time, and difficulties in debugging and monitoring. These obstacles can impede the broader adoption of serverless architectures for certain applications, especially those with stringent performance demands. This paper investigates both the benefits and challenges associated with serverless computing, offering a thorough review of existing literature, industry practices, and case studies. Furthermore, it examines potential strategies to address the limitations of serverless platforms, such as reducing cold start times and alleviating vendor lock-in. The objective of this research is to deliver a comprehensive understanding of the serverless model and its future prospects in facilitating efficient, adaptable cloud architectures for a diverse range of applications.

References :

[1] Kumar, A., et al. (2022). "An Analysis of Cold Start Latency in Serverless Platforms," International Journal of Cloud Computing, vol. 10, no. 2, pp. 112-126.

[2] Smith, M., et al. (2021). "Vendor Lock-In in Serverless Computing: Issues and Solutions," IEEE Cloud Computing, vol. 7, no. 4, pp. 34-46.

[3] Johnson, D., et al. (2020). "Serverless Computing: A Survey of Benefits and Challenges," IEEE Transactions on Cloud Computing, vol. 8, no. 1, pp. 88-100.

[4] Gupta, P., et al. (2022). "Pre-Warming Techniques for Reducing Cold Start Latency in Serverless Architectures," Journal of Cloud Infrastructure, vol. 5, no. 1, pp. 58-72.

[5] Nguyen, H., et al. (2020). "Challenges in Debugging Serverless Architectures," IEEE Transactions on Cloud Computing, vol. 10, no. 5, pp. 1867-1879.

[6] Gupta, A., and Sharma, S. (2020). "Exploring the Cost Efficiency of Serverless Computing," International Journal of Cloud Computing Technology, vol. 12, no. 3, pp. 29-44.

[7] Lee, J., and Kim, H. (2021). "Implementing Serverless Computing for Real-Time Applications," Journal of Cloud Technology, vol. 6, no. 2, pp. 112-124.

[8] Zhao, X., et al. (2021). "A Comparative Study of Serverless and Traditional Cloud Models for Web Applications," IEEE Transactions on Cloud Computing, vol. 12, no. 6, pp. 1530-1541.

[9] Patel, R., and Desai, M. (2020). "Cost Allocation Models for Serverless Cloud Computing," IEEE Access, vol. 8, pp. 7651-7664.

[10] Chen, Z., et al. (2020). "Serverless Computing for Event-Driven Architectures: Challenges and Future Directions," Journal of Network and Cloud Computing, vol. 9, no. 4, pp. 210-225.

[11] Smith, J., and Raj, S. (2020). "Evaluating the Performance and Scalability of Serverless Platforms," Journal of Cloud Computing, vol. 10, no. 2, pp. 89-104.

[12] Zhao, F., et al. (2020). "Improving Latency and Scalability in Serverless Applications," Journal of Cloud Networking, vol. 6, no. 1, pp. 88-100.

[13] Liu, J., et al. (2022). "Towards Multi-Cloud Serverless Architectures," IEEE Transactions on Cloud Computing, vol. 13, no. 2, pp. 47-58.

[14] Gupta, P., et al. (2021). "Security Challenges in Serverless Computing: A Comprehensive Survey," IEEE Cloud Computing, vol. 9, no. 2, pp. 38-49.

[15] Zhang, Y., et al. (2021). "Serverless Computing for Microservices: A Review of Trends and Best Practices," International Journal of Cloud Computing, vol. 10, no. 3, pp. 135-148.

[16] Wang, Z., and Liu, L. (2020). "Energy Efficiency in Serverless Computing: Opportunities and Challenges," Journal of Cloud Computing, vol. 8, no. 1, pp. 102-115.

[17] Yang, R., et al. (2020). "Optimizing Serverless Computing for High-Performance Applications," Journal of Parallel and Distributed Computing, vol. 12, no. 5, pp. 188-200.

Keywords :

Serverless Computing, Cloud Computing, AWS Lambda, Azure Functions, Cost Efficiency, Scalability, Vendor Lock-In, Cold Start Latency, Debugging, Cloud Infrastructure.