As an efficient development for industrial and scientific applications, workflow technologies have received substantial attention in recent decades. To address the issue of workflow scheduling in a state-of-the-art cloud environment, based on analysis of a decentralized architecture for workflow scheduling, a dependable scheduling strategy with active replica placement (DS-ARP) is proposed in this paper. In this proposal, by analyzing control/data dependencies in a workflow, a game-theory-based active replica placement model is first developed to achieve reasonable replica placement; then, a dependable scheduling algorithm is proposed to enhance the system reliability and security. With five well-known workflow applications, CloudSim-based simulations are performed, and the analytical results are shown to demonstrate the performance of DS-ARP on an average number of initiated replicas, costs resulting from canceled replicas, makespans, deadline violation rates and resource utilization rates.

中文翻译：

---

依赖感知的可靠调度工作流应用程序，在云中放置活动副本

作为工业和科学应用的有效发展，工作流技术在近几十年来受到了广泛关注。为了解决最先进的云环境中的工作流调度问题，基于对工作流调度的分散架构的分析，本文提出了一种具有主动副本放置（DS-ARP）的可靠调度策略。在该提议中，通过分析工作流中的控制/数据依赖性，首先开发基于博弈论的主动副本放置模型以实现合理的副本放置；然后，提出了一种可靠的调度算法，以提高系统的可靠性和安全性。使用五个著名的工作流应用程序，执行基于 CloudSim 的模拟，