This invention discloses a distributed
message processing system based on dynamic sliding windows and intelligent scheduling, aiming to solve the problems of
processing latency, resource waste, and insufficient
scalability caused by fixed grouping and
polling strategies in traditional
message processing technologies. It is suitable for dynamic message scheduling and load balancing in high-
concurrency, high-
throughput scenarios. A four-layer collaborative architecture is adopted, with a distributed
message queue layer, a sliding grouping module, an intelligent scheduling module, and a cluster of
processing units working together to form a closed-
loop control through a state feedback mechanism. The
system designs a
hybrid sliding window and dynamic triggering grouping mechanism, a two-way feedback intelligent
scheduling system, and a multi-dimensional elastic control strategy, which can dynamically optimize
resource allocation based on message traffic fluctuations and
processing unit load status, balancing processing timeliness and transaction consistency. It can be widely applied to scenarios such as
financial transaction clearing, e-commerce flash sale traffic
smoothing, and IoT
data processing, achieving adaptive
throughput improvement and efficient
resource utilization, and possesses strong practicality and promotional value.