Cloud Provisioning: A Highly Optimized, Cost-effective, and Efficient Deployment Model

In a push towards cloud migration, many organizations provide landing platforms to host custom-built solutions. Unfortunately, this approach is primarily based on IaaS architecture, resulting in very high costs. Selecting the right subset/mix of cloud services is a complex and non-intuitive process. We have developed an AWS-hosted PaaS solution which efficiently integrates over a dozen cloud services to provide a high-availability serverless platform requiring little to no maintenance at a fraction of the cost of traditional cloud solutions. This highly optimized platform can be easily tailored to any small to medium- size web application for quick deployment without compromising performance. This paper presents the rationale behind selection of chosen services, and solutions used to overcome integration and optimization challenges.

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Published
2024-11-01
DOI
https://doi.org/10.1145/3704304.3704307
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Cloud Provisioning: A Highly Optimized, Cost-effective, and Efficient Deployment Model

Sunil Suresh Kulkarni, Abhishek Arora, Waqar Haque
Cloud Computing and Resource Management
article

Cloud Provisioning: A Highly Optimized, Cost-effective, and Efficient Deployment Model

Sunil Suresh Kulkarni, Abhishek Arora, Waqar Haque
article en

Abstract

In a push towards cloud migration, many organizations provide landing platforms to host custom-built solutions. Unfortunately, this approach is primarily based on IaaS architecture, resulting in very high costs. Selecting the right subset/mix of cloud services is a complex and non-intuitive process. We have developed an AWS-hosted PaaS solution which efficiently integrates over a dozen cloud services to provide a high-availability serverless platform requiring little to no maintenance at a fraction of the cost of traditional cloud solutions. This highly optimized platform can be easily tailored to any small to medium- size web application for quick deployment without compromising performance. This paper presents the rationale behind selection of chosen services, and solutions used to overcome integration and optimization challenges.

University of Northern British Columbia (CA)
Openalex Percentile: Top 58%
Cloud Computing and Resource Management
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