A scheduling strategy based on multi-objective continuous bidding game is proposed to solve the problem that it is difficult to make a quick and reasonable scheduling plan for compute-intensive task-flow in a generalized-cluster with many computing nodes. To ensure the rationality of the optimal solution, a multi-objective optimal scheduling model is established, the dimensions of multi-objective optimization function are reduced, and the multi-objective optimization function is converted into a sum-objective function using the linear weighting method. For improving the search speed of the optimal solution, the ETC matrix is introduced for expressing the form of optimal solution, and continuous bidding game algorithm is designed. By simulating real scenarios and comparing with similar algorithms, it is proved that the scheduling strategy has obvious advantages regarding response speed, resource cost performance and total cost expenditure in the generalized-cluster.