Cloud computing is the fastest emerging technology that proposes several resources under various pricing strategies that are specified based on temporal constraints. The main aim of cloud computing is to enhance the performance level and minimize operating costs. Thus, organizations looking towards optimizing their spending on IT infrastructure find such pricing strategies very attractive, especially, to deploy their business process models. However, discovering the optimal deployment cost of a business process in cloud resources proposed under various pricing strategies becomes a highly challenging problem. So, the objective of the present paper is to present an approach that assists business process designers in finding an optimal assignment or scheduling based on the variety of pricing strategies. We use linear programming models with an objective function under a set of constraints. Besides, we propose an extension of the famous cloud simulator provided in the market, CloudSim, to simulate the cloud resources consumed to deploy a business process model. The experimental results show the feasibility, effectiveness, and performance of our approach.

中文翻译：

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云资源中的最优业务流程部署成本

云计算是最快的新兴技术，它在基于时间约束指定的各种定价策略下提出多种资源。云计算的主要目标是提高性能水平和最小化运营成本。因此，希望优化 IT 基础架构支出的组织发现此类定价策略非常有吸引力，尤其是部署其业务流程模型时。然而，在各种定价策略下发现云资源中业务流程的最佳部署成本成为一个极具挑战性的问题。因此，本文的目的是提出一种方法，帮助业务流程设计人员根据各种定价策略找到最佳分配或调度。我们使用具有一组约束条件下的目标函数的线性规划模型。此外，我们提出了对市场上著名的云模拟器 CloudSim 的扩展，以模拟部署业务流程模型所消耗的云资源。实验结果表明了我们方法的可行性、有效性和性能。