Federal Synergy Computing Model Based on Network Interconnection
To solve the shortage problem of the computing power provided by a single machine or small cluster system in scientific research, we offer a collaborative computing system for users. This system has massive operation ability. It introduces a scalable mixed collaborative computing model. Through the internet and heterogeneous computing equipment, the system uses the task decomposition model. This system can solve the research and development problem of the shortage of local computing power. To test the model, a subtask decomposition example is used. The results of the example analysis show that the computing work can obtain the shortest computation time when the number of calculation nodes is more than the number of subtasks; maximum calculation efficiency can be achieved when the number of the calculating nodes approaches the number of subtasks. Through joint collaborative computing, the extensible mixed collaborative computing mode can effectively solve the mass computing problem for the system with heterogeneous hardware and software. This paper provides the reference for the system, which provides large scale computing power through the Internet and addresses the research problems due to the lack of computing
Keywords: Federal Computing, Task Decomposition, Task Scheduling, Data Communication
H. Wang, "Federal Synergy Computing Model Based on Network Interconnection", Engineering
Intelligent Systems, vol. 29 no. 4, pp. 241-252, 2021.