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Feature and performance based comparative study on serverless framework among AWS, GCP, azure and fission

Citation

Abstract

Cloud computing is one of the most flourishing technologies in today’s internet based world and the upcoming trend for the future. It has roughly been a decade of the development on this field. The first initiative had been taken by the world class companies like Amazon, IBM, Microsoft, Google etc. And in a matter of time the average companies, brands and enterprises has adopted this revolutionary technology by building their own cloud platform. One of the very recent technology of cloud is the serverless technology. Here the server side management is conducted by the cloud providers and the clients’ only need to deploy their codes once in the server. This system prevents a great deal of unessential consumption of power and is a Payas-you-go service. This technology has added a great impact on the software and application development. But the major obstacle to this development field is that there are not enough documentation on how the big companies provide this facility and how their architecture is build. However many developers can not decide suitable platform for their required application. Also documentation on privately built serverless architecture is not available. This can be done through massive documentation on comparison and evaluation on the existing cloud platforms on which the companies can run their own serverless applications and embrace the hybrid world. Therefore, our research purpose is to focus on the serverless architecture of the existing platforms. A comparative study with necessary measures can be effective and efficient to use for further serverless implementation. So, we and others can follow our research for understanding the technical complexity. We will emphasize on the actual characteristics of serverless throughout our work. Furthermore, our goal is to come up with effective analogy on how different serverless platforms behaves in different Use cases.

Description

Cataloged from PDF version of thesis.
Includes bibliographical references (page 48-50).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

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Thesis