Ensuring end-to-end delays meet deadlines is a key challenge in Industrial Internet of Things (IIoT), as it directly affects control performance. To reduce end-to-end delays, traditional methods focus on message scheduling under the Time Division Multiple Access (TDMA) protocol. However, with the increasing adoption of complex control algorithms in industry, neglecting task scheduling on the controller can lead to missed deadlines for control applications. This paper investigates the co-scheduling problem of messages and tasks, aiming to satisfy the end-to-end deadline constraints of all control applications in IIoT. Since the preemptive controller introduces an unknown number of task scheduling decision variables, the Early Deadline First (EDF) strategy is employed to generate task schedules. To generate message schedules aligned with task schedules, we reformulate the co-scheduling problem, making it solvable by numerical solvers. Moreover, we propose a heuristic algorithm, SECDS, for efficient scheduling in large-scale IIoT. Simulation results show the superior applicability and performance of the proposed methods compared to baseline algorithms.