Data transmission strategies for resource monitoring in cloud computing platforms

This paper proposes three data transmission strategies for resource monitoring in cloud computing platforms, which are dynamic periodic push strategy, window-based event-driven push strategy, and window-based hybrid push strategy, respectively. The dynamic periodic push strategy periodically pushes resource status information at a dynamic time interval that is dynamically updated by considering the change degree of resource status information. The window-based event-driven push strategy pushes resource status information if the change degree of resource status information is larger than a threshold that is dynamically updated by using the exponentially weighted moving average. The window-based hybrid push strategy combines the dynamic periodic push strategy and the window-based event-driven push strategy and then further reduces the communication overhead and improves the data coherence. Experimental results show that the window-based hybrid push strategy performs better than previous data transmission strategies in terms of the number of data transmissions and the data coherence.