A Framework for Optimizing Cloud Deployment

The serverless computing and cloud platforms drastically changed the pace of modern web application deployment and management. Vercel is a kind of platform that promises easy deployment, scaling, and hosting by using serverless functions and containerization. This research would focus on optimizing the use of cloud resources, improving the scalability, and reducing costs for the operational activities of a Vercel-like platform. By exploring techniques such as load balancing, caching, and intelligent resource allocation, the study will contribute to the design of more efficient, scalable, and costeffective cloud-native platforms.

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Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/rait65068.2025.11089058
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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A Framework for Optimizing Cloud Deployment

Abhishek Kandel, Sushant Jhingran, Jagannath Aryal, Roshish Dahal et al.
Cloud Computing and Resource Management
article

A Framework for Optimizing Cloud Deployment

Abhishek Kandel, Sushant Jhingran, Jagannath Aryal, Roshish Dahal, Samadesh Poudel
article en

Abstract

The serverless computing and cloud platforms drastically changed the pace of modern web application deployment and management. Vercel is a kind of platform that promises easy deployment, scaling, and hosting by using serverless functions and containerization. This research would focus on optimizing the use of cloud resources, improving the scalability, and reducing costs for the operational activities of a Vercel-like platform. By exploring techniques such as load balancing, caching, and intelligent resource allocation, the study will contribute to the design of more efficient, scalable, and costeffective cloud-native platforms.

Purbanchal University (NP), Sharda University (IN)
Openalex Percentile: Top 73%
Cloud Computing and Resource Management
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