Scaling Robotics Operations Using Multi-Cloud Architectures
Keywords:
multi-cloud architectures, scalability, robotics systems, cloud computing, fault toleranceAbstract
Complex robotic processes need scalable solutions as robotics technology develops. Large robotics systems with computing, storage, and networks may benefit from multi-cloud architectures. Multi-cloud systems may raise dependability, scalability, and flexibility in robotics. We investigate fault tolerance, load balancing, and resource orchestration in robot multi-cloud systems. Furthermore, discussed are distributed cloud infrastructure redundancy, data processing, and real-time analytics on robotic system sensor data. Additionally included in the research were data security, cloud service interoperability, and robot-cloud resource communication. This study investigates multi-cloud robotics solutions to provide scalable and strong robotic systems.
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References
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