Serverless Computing Platform for Big Data Storage | Zendy

Annie Christina .A | Zendy; A. R. Kavitha | Zendy

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Serverless Computing Platform for Big Data Storage

Author(s) -

Annie Christina .A,

A. R. Kavitha

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.c5471.098319

Subject(s) - cloud computing , big data , computer science , metric (unit) , distributed computing , computer data storage , scaling , distributed data store , cloud storage , data science , database , operating system , engineering , operations management , geometry , mathematics

This paper describes various challenges faced by the Big Data cloud providers and the challenges encountered by its users. This foreshadows that the Serverless computing as the feasible platform for Big Data application’s data storages. The literature research undertaken focuses on various Serverless computing architectural designs, computational methodologies, performance, data movement and functions. The framework for Serverless cloud computing is discussed and its performance is tested for the metric of scaling in the Serverless cloud storage for Big Data applications. The results of the analyses and its outcome are also discussed. Thus suggesting that the scaling of Serverless cloud storage for data storage during random load increase as the optimal solution for cloud provider and Big Data application user.

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