A data replication strategy for document-oriented NoSQL systems

Abstract

Cloud providers aim to maximise their profits while satisfying tenant requirements, e.g., performance. The relational database management systems face many obstacles in achieving this goal. Therefore, the use of NoSQL databases becomes necessary when dealing with heterogeneous workloads and voluminous data. In this context, we propose a new data replication strategy that balances the workload of nodes and dynamically adjusts the number of replicas while the provider profit is taken into account. Result analysis shows that the proposed strategy reduces the resource consumption, which improves the provider profit while satisfying the tenant performance requirement.

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

“…Some of the latest research to enhance the replication strategies in other distributed architecture are addressed in Reference [51] for Cloud-P2P environments, Reference [52] for document-oriented (Not only SQL) NoSQL (Not only SQL) systems, Reference [53] for replica selection in Internet of Things (IoT), Reference [54] for cost aware heterogeneous cloud data centers, and Reference [55] for mobile ad hoc networks structures.…”

“…Replication Strategy Advantage and Disadvantages [52] Year 2019 Description: A data replication strategy for MongoDB. The main aim is to provide the performance requirement for the tenants, while the provider's profit is not ignored.…”

“…From Table 5, we have observed that some of the strategies, like Refs. [3,52], are included in the fault tolerance category and are also included in the performance category; the same had happened with Refs. [100,102], which are included in both fault tolerance and reliability section.…”

“…There are other, same examples in Refs. [52,101,113,114], found in the performance and availability category, and also Reference [112] is included in scalability, elasticity, and cost category because all these strategies are addressing primary and secondary target objectives in a single replication strategy, with each target objective having its priority. In other words, these strategies address both categories of target objectives simultaneously.…”

“…These other issues are as important as that of two major issues in replication [145]. Hence, the total of four important issues of any data replication strategy is determined as ( 1) what data should be replicated, (2) where to place a new replica, (3) when a replica should be created or deleted, and (4) how many replicas to create [52].…”