Efficient Scheduling Mechanisms for Secured Cloud Data Environment
S. Selvi1, R. Sri Devi2
1S. Selvi, Professor, PSG College of Arts & Science, Coimbatore (Tamil Nadu), India.
2R. Sri Devi, Professor, PSG College of Arts & Science, Coimbatore (Tamil Nadu), India.
Manuscript received on 13 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 02 November 2019 | PP: 1019-1023 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11710982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1171.0982S1119
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Big Data has won heaps of intrigue in light of the tremendous degree it presents for a higher comprehension of the business and decision making strategy for an enterprise. There has been a broad scope of looks into happening far and wide on this to make the most out of it and entirely some of specialized stages are to be need to the analysis for enormous records . However, Scientists and organizations had the option to expand frameworks that could deal with the enormous measurements and perform investigation on it, the security segments remain immensely immaculate. And misfortune can be a reason for significant data loss while applying hybrid security. As if information changes, then it is not valuable. So here is a need to adopt proper scheduling mechanism in cloud computing to avoid process delay. This paper expounds some encryption strategies and proper scheduling mechanisms. Hyper elliptic curve cryptography (HECC) towards verified enormous record analyses is embraced here to describe with proper scheduling.
Keywords: Big data Analytics, HECC, Homomorphic Encryption and Public-Key Encryption (PKE.).
Scope of the Article: Cloud Computing and Networking