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Resource Utilization of Distributed Databases in Edge-Cloud Environment
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AI
DOI：10.1109/JIOT.2023.3235360.png)
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Abstract
En 中文
A benchmark study of modern distributed databases (DDBs) (e.g., Cassandra, MongoDB, Redis, and MySQL) is an important source of information for selecting the right technology for managing data in edge-cloud deployments. While most of the existing studies have investigated the performance and scalability of DDBs in cloud computing, there is a lack of focus on resource utilization (e.g., energy, bandwidth, and storage consumption) of workload offloading for DDBs deployed in edge-cloud environments. For this purpose, we conducted experiments on various physical and virtualized computing nodes, including variously powered servers, Raspberry Pi, and hybrid cloud (OpenStack and Azure). Our extensive experimental results reveal insights into which database under which offloading scenario is more efficient in terms of energy, bandwidth, and storage consumption.
Keywords:
Databases
Distributed databases
Servers
Cloud computing
Bandwidth
Task analysis
Time factors
cloud computing
distributed databases (DDBs)
edge computing
energy
storage
Journal
IF:
8.9
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1.4W
Citations:
7.8W