Optimization of Task Scheduling Algorithms in Heterogeneous Environment

摘要

Workflow system is the best choice for projects with complex business logic, and cloud workflow technology has emerged because many applications need to join large data processing. This paper first introduces the workflow and MapReduce technology briefly, and then proposes to use agent mode to solve the engine centralization problem of traditional cloud workflow architecture. Finally, this paper describes the workflow scheduling model and algorithm based on MapReduce, which makes full use of time fragmentation by using task segmentation to improve efficiency.