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Selecting an Optimal Fault Tolerance Strategy for Reliable Service-Oriented Systems with Local and Global Constraints

机译:为具有局部和全局约束的可靠的面向服务的系统选择最佳的容错策略

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Functionally equivalent web services can be composed to form more reliable service-oriented systems. However, the choice of fault tolerance strategy can have a significant effect on the quality-of-service (QoS) of the resulting service-oriented systems. In this paper, we investigate the problem of selecting an optimal fault tolerance strategy for building reliable service-oriented systems. We formulate the user requirements as local and global constraints and model the selection of fault tolerance strategy as an optimization problem. A heuristic algorithm is proposed to efficiently solve the optimization problem. Fault tolerance strategy selection for semantically related tasks is also investigated in this paper. Large-scale real-world experiments are conducted to illustrate the benefits of the proposed approach. The experimental results show that our problem modeling approach and the proposed selection algorithm make it feasible to manage the fault tolerance of complex service-oriented systems both efficiently and effectively.
机译:功能上等效的Web服务可以组成更可靠的面向服务的系统。但是,容错策略的选择可能对最终的面向服务的系统的服务质量(QoS)产生重大影响。在本文中,我们研究了为构建可靠的面向服务的系统选择最佳容错策略的问题。我们将用户需求表述为局部和全局约束,并将容错策略的选择建模为优化问题。提出了一种启发式算法来有效地解决优化问题。本文还研究了语义相关任务的容错策略选择。进行了大规模的实际实验,以说明该方法的好处。实验结果表明,我们的问题建模方法和所提出的选择算法使有效且高效地管理复杂的面向服务系统的容错性成为可能。

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