the reference answer GPT ᴼ ᴾ ᴱ ᴺ ᴬ ᴵ
- Task decomposition and scheduling: task decomposition and scheduling is the core of the whole system, which needs to consider the way of task division and distribution, node selection and load balancing. According to the characteristics and requirements of tasks, a suitable distributed computing framework and message queue can be selected to provide efficient task scheduling and allocation.
- Parameter passing and result summary: For each subtask, input parameters and calculation results need to be passed to and collected from the compute node. Tools such as message queues or distributed file systems can be used to pass parameters and results to ensure reliability and efficiency.
- Node management and monitoring: Node management and monitoring is an important part to ensure system reliability and scalability. Container technology can be used to deploy and manage compute nodes, load balancing technology can be used to balance node loads, monitoring and logging tools can be used to monitor node status and performance indicators, and problems can be discovered and resolved in a timely manner.
- Security and authentication: In distributed systems, security and authentication are of Paramount importance. Technologies such as encrypted communication and access control can be used to ensure system security and reliability, as well as to prevent unauthorized access and attacks.
- Performance tuning and optimization: Performance tuning and optimization is an ongoing process that requires continuous analysis and optimization of system performance and resource utilization. Techniques like caching and GPU acceleration can be used to improve computing performance, and tools like resource monitoring and load testing can be used to analyze and optimize system performance and bottlenecks.
