A Novel Node Management in Hadoop Cluster by Using DNA

A Novel Node Management in Hadoop Cluster by Using DNA

Balaraju J., P.V.R.D. Prasada Rao
DOI: 10.4018/IJITPM.2021100104
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Abstract

This paper proposes a novel node management for the distributed system using DNA hiding and generating a unique key by combing a unique physical address (MAC) of node and hostname. This mechanism provides better node management for the Hadoop cluster providing adding and deletion node mechanism by using limited computations and providing better node security from hackers. The objective of this paper is to design an algorithm to implement node-sensitive data hiding using DNA sequences and provide security to the node and its data from hackers.
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1. Introduction

Distributed Computing (DC) (Yang & Lee, 2019) furnishes a practical edge work with productive execution of an answer on various PCs associated with a system. For conveyed Computing DC, huge undertakings are partitioned into littler issues which would then be able to be executed on various PCs simultaneously free of one another. The assignment must be separated into free issues to limit the PC's correspondence. In any case, dispersed figuring won't be powerful. In the course of recent years, the intermixing of software engineering and the multifaceted nature of science has lead to the prosperous field of bioinformatics. Advances in atomic science and innovation for huge bits of genomes in different species. Today PCs have made clinical examination more effective and exact, by utilizing equal and conveyed PCs and complex organic displaying. Bioinformatics (Al-Masri et al., 2019) is one of the more up to date territories and has made us fully aware of a totally different universe of science. The combination of PCs and science has helped researchers study species, particularly people. With the guide of the PCs, we have taken in a lot about hereditary qualities, however, there still stand numerous unanswered inquiries that are being investigated today. Deoxyribonucleic Acid (DNA) (Roy, 2020) arrangement investigation can be a protracted cycle going from a few hours to numerous days. This paper manufactures a dispersed framework that gives the answer for some bioinformatics related applications. The general objective of this paper is to assemble a Distributed Bioinformatics Computing System for hereditary succession examination of DNA. This framework is equipped for looking and distinguishing quality examples in a given DNA grouping. To process, we put away a huge no. of DNA succession utilizing Different lengths of DNA arrangements were utilized for the sequential and nonconsecutive example search to think about the framework's reaction time acquired utilizing single and numerous PCs. Furthermore, various lengths of DNA arrangements were likewise utilized for the example ID to think about its reaction time watched utilizing a solitary PC and numerous PCs. A few diverse disseminated usages of search calculations have been accounted for in the writing. It tends to be seen that the majority of the current methodologies require superior equal processors and are not executed on inexactly coupled conveyed organize. Besides, the majority of them require specific programming language for their execution on these equal processors. The particular target of the proposed disseminated calculation for investigation of DNA successions are 1. Build up a viable disseminated DNA arrangement examination calculations for design coordinating of DNA Gene grouping and sub-successions recognizable proof. 2. Execute them on an approximately coupled appropriated system, for example, customary neighborhood and wide territory organize utilizing standard programming language.

The principal focus of this paper is to propose a calculation to actualize information covering up in DNA groupings to expand the multifaceted nature and making disarray to the programmers. By using some fascinating highlights of DNA arrangements, the usage of data stowing away is applied. The calculation which has been proposed here depends on parallel coding and the corresponding pair rules.

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