Using MCDM and FaaS in Automating the Eligibility of Business Rules in the Decision-Making

[摘要] Serverless Computing, also named Function as a Service (FaaS) in the Azure cloud provider, is a new feature of cloudcomputing. This is another brick, after managed and fully managed services, allowing to provide on-demand services instead ofprovisioned resources and it is used to strengthen the company’s ability in order to master its IT system and consequently tomake its business processes more profitable. Knowing that decision making is one of the important tasks in business processes,the improvement of this task was the concern of both the industry and the academy communities. Those efforts have led to severalmodels, mainly the two Object Management Group (OMG) models: Business Process Model and Notation (BPMN) and DecisionModel and Notation (DMN) in order to support this need. The DMN covers the decision-making task in business processesmainly the eligibility of business rules. This eligibility can be automated in order to help designers in the mastering of thisimportant task by the running of an algorithm or a method such as the Multiple Criteria Decision Making (MCDM). This featurecan be designed and implemented and deployed in various architectures to integrate it in existing Business Process ManagementSystems (BPMS). It could then improve supporting several business areas such as the Business Intelligence (BI) process. In thispaper, our main contribution is the enrichment of the DMN model by the automation of the business rules eligibility throughTechnique for Order of Preference by Similarity to Ideal Solution (TOPSIS) using FaaS to further streamline the decision- making task in business processes. Results show to strengthen business-IT alignment and reduce the gap between the real worldand associated IT solutions.

[学科分类] 计算机科学（综合）

[关键词] Serverless computing;FaaS;BPMN;DMN;decision-making;business-rule;MCDM;TOPSIS