Serverless Computing Platform for Big Data Storage
Annie Christina. A1, A.R. Kavitha2
1Annie Christina .A, Computer Science and Engineering, Vel Tech Multitech Dr.Rangarajan Dr.Sakunthala Engg. College, Chennai, India
2Kavitha A. R., Computer Science and Engineering, Saveetha Engineering College, Chennai, India.
Manuscript received on 21 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 6592-6595 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5471098319/2019©BEIESP | DOI: 10.35940/ijrte.C5471.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Serverless computing, Big Data, Data Storage, Big Data Cloud, Serverless cloud
Scope of the Article: Cloud Computing