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A Middleware for Polyglot Persistence and Data Portability of Big Data PaaS Cloud Applications

Computers, Materials & Continua 2020年第11期65卷 1625-1647页

作者： kiranbir kaur Sandeep Sharma Karanjeet Singh Kahlon Department of Computer Engineering and Technology Guru Nanak Dev UniversityAmritsar143001India Department of Computer Science and Applications Guru Nanak Dev UniversityAmritsar143001India

Vendor lock-in can occur at any layer of the cloud stack-Infrastructure,Platform,and *** paper covers the vendor lock-in issue at Platform as a Service(PaaS)level where applications can be created,deployed,and managed without worrying about the underlying *** applications and their persisted data on one PaaS provider are not easy to port to another *** overcome this issue,we propose a middleware to abstract and make the database services as *** middleware supports several SQL and NoSQL data stores that can be hosted and ported among disparate PaaS *** facilitates the developers with data portability and data migration among relational and NoSQL-based cloud *** databases are fundamental to endure Big Data applications as they support the handling of an enormous volume of highly variable data while assuring fault tolerance,availability,and *** implementation of the middleware depicts that using it alleviates the efforts of rewriting the application code while changing the backend database system.A working protocol of a migration tool has been developed using this middleware to facilitate the migration of the database(move existing data from a database on one cloud to a new database even on a different cloud).Although the middleware adds some overhead compared to the native code for the cloud services being used,the experimental evaluation on Twitter(a Big Data application)data set,proves this overhead is negligible.

关键词： Cloud computing platform as a service middleware polyglot persistence SQL NoSQL data migration tool Twitter data set

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