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arXiv 2103.08675cs.SEcs.DC
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多云环境下成本敏感的集成过程建模

Cost-aware Integration Process Modeling in Multiclouds

Daniel Ritter

摘要:

集成即服务(INTaaS)是当前企业、云和设备集成流程的核心。因此,集成模式的组合将所需的集成逻辑表示为集成流程,当前运行在单一云中。虽然多云设置变得越来越重要,但它们承诺的为特定问题选择最佳选项的自由目前尚未实现,并且INTaaS供应商以成本密集的方式处理安全约束,导致安全与成本目标冲突,并且对流程建模者不透明。在这项工作中,我们提出了一个设计时的安排,在多云的过程是成本最优的INTaaS问题的大小,并尊重他们的客户可配置的安全约束。为了使解决方案易于处理,更大的生产INTaaS流程,它通过使用局部搜索启发式来放松,并通过保持正确性的模型分解来补充。这允许从流程建模者的角度对成本感知流程建模进行新的视角。多云进程放置在现实世界的集成过程中的成本和运行时效率方面进行了评估,并讨论了有趣的权衡。基于新的成本感知建模流程研究了流程建模师的观点,该流程通过临时多云成本计算和保持正确性的流程成本降低建议来实现用户与INTaaS供应商之间的交互。

英文摘要:

Integration as a service (INTaaS) is the centrepiece of current corporate, cloud and device integration processes. Thereby, compositions of integration patterns denote the required integration logic as integration processes, currently running in single-clouds. While multicloud settings gain importance, their promised freedom of selecting the best option for a specific problem is currently not realized as well as security constraints are handled in a cost-intensive manner for the INTaaS vendors, leading to security vs. costs goal conflicts, and intransparent to the process modeler. In this work, we propose a design-time placement for processes in multiclouds that is cost-optimal for INTaaS problem sizes, and respects configurable security constraints of their customers. To make the solution tractable for larger, productive INTaaS processes, it is relaxed by using a local search heuristic, and complemented by correctness-preserving model decomposition. This allows for a novel perspective on cost-aware process modeling from a process modeler's perspective. The multicloud process placement is evaluated on real-world integration processes with respect to cost- and runtime-efficiency, and discusses interesting trade-offs. The process modeler's perspective is investigated based on a new cost-aware modeling process, featuring the interaction between the user and the INTaaS vendor through ad-hoc multicloud cost calculation and correctness-preserving, process cost reduction proposals.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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