Experimental Performance Evaluation of MongoDB Under Different Geographic Deployment Architectures and Consistency Levels Using YCSB
DOI:
https://doi.org/10.59743/jbs.v39i3.363Keywords:
mongo DB, NO SQL Data Base, Distributed systems, cloud computing, Data consistency, through put, LatencyAbstract
deployment scenarios in the Google Cloud Platform (GCP) environment, considering increasing use of non-relational NoSQL databases for processing large volumes of information. Research Focus: The paper considers the effect of consistency level and number of replicas on two major performance metrics – latency and throughput. To measure read/write performance, the authors used the Yahoo Cloud Serving Benchmark (YCSB) tool. Key Findings: Experiments showed that the highest level of performance is achieved in the case of single region deployment, while multi-region deployments result in significant loss of performance. The latency can grow to 480 ms in the case of enabling strong consistency level settings, which represents a rather heavy burden for real-time applications.Practical Significance: The study helps to guide developers and engineers in building MongoDB clouds in the cloud environment with appropriate trade-offs between consistency, availability, and performance.
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