Open AccessServerless 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
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 data store , computer data storage , cloud storage , distributed computing , scaling , database , data science , 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.