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A Novel Throughput Based Temporal Violation Handling Strategy for Instance-Intensive Cloud Business Workflows

机译：基于新的基于吞吐量的时间违规处理策略，例如强化云业务工作流程

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Temporal violations take place during the batch-mode execution of instance-intensive business workflows running in the cloud environments which may significantly affect the QoS (Quality of Service) of cloud workflow system. However, currently most research in the area of workflow temporal QoS focuses on single scientific workflow rather than business workflow with a batch of parallel workflow instances. Therefore, how to handle temporal violations of instance-intensive cloud business workflows is a new challenge. To address such a problem, in this paper, we propose a novel throughput based temporal violation handling strategy. Specifically, firstly we present a definition of throughput based temporal violation handling point to determine where temporal violation handling should be conducted, and secondly we design a new method for adding necessary cloud computing resources for recovering detected temporal violations. Experimental results show that our temporal violation handling strategy can effectively handle temporal violations in cloud business workflow and thus guarantee satisfactory on-time completion rate.
机译：在云环境中运行的实例密集型业务工作流程的批量模式执行期间发生时间违规，这可能会显着影响云工作流系统的QoS（服务质量）。然而，目前在工作流时间QoS领域的大多数研究侧重于单一科学工作流，而不是一批并行工作流程的业务工作流程。因此，如何处理时间违反实例 - 密集型云业务工作流程是一个新的挑战。要解决此类问题，请在本文中提出基于新的吞吐量的时间违规处理策略。具体地，首先，我们介绍了基于吞吐量的时间违规处理点的定义，以确定应进行时间违规处理的位置，其次是我们设计一种用于添加必要的云计算资源以便恢复检测到的时间违规的新方法。实验结果表明，我们的时间违规处理策略可以有效处理云业务工作流程中的时间违规，从而保证令人满意的准时完成率。

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