Opportunities and Challenges of Data Migration in Cloud

Engineering International

View Publication Info
 
 
Field Value
 
Title Opportunities and Challenges of Data Migration in Cloud
 
Creator Amin, Ruhul
Vadlamudi, Siddhartha
Rahaman, Md. Mahbubur
 
Subject data migration
cloud computing
cloud
enterprise systems
 
Description Cloud data migration is the process of moving data, localhost applications, services, and data to the distributed cloud processing framework. The success of this data migration measure is relying upon a few viewpoints like planning and impact analysis of existing enterprise systems. Quite possibly the most widely recognized process is moving locally stored data in a public cloud computing environment. Cloud migration comes along with both challenges and advantages, so there are different academic research and technical applications on data migration to the cloud that will be discussed throughout this paper. By breaking down the research achievement and application status, we divide the existing migration techniques into three strategies as indicated by the cloud service models essentially. Various processes should be considered for different migration techniques, and various tasks will be included accordingly. The similarities and differences between the migration strategies are examined, and the challenges and future work about data migration to the cloud are proposed. This paper, through a research survey, recognizes the key benefits and challenges of migrating data into the cloud. There are different cloud migration procedures and models recommended to assess the presentation, identifying security requirements, choosing a cloud provider, calculating the expense, and making any essential organizational changes. The results of this research paper can give a roadmap for data migration and can help decision-makers towards a secure and productive migration to a cloud computing environment.
 
Publisher Asian Business Consortium
 
Date 2021-04-25
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://abc.us.org/ojs/index.php/ei/article/view/529
10.18034/ei.v9i1.529
 
Source Engineering International; Vol. 9 No. 1 (2021): January - June Issue; 41-50
2409-3629
10.18034/ei.v9i1
 
Language eng
 
Relation https://abc.us.org/ojs/index.php/ei/article/view/529/1030
 
Rights Copyright (c) 2021 Ruhul Amin, Siddhartha Vadlamudi, Md. Mahbubur Rahaman
https://creativecommons.org/licenses/by-nc/4.0
 

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