Abstract
Under the infrastructure of three gradually deepening layers consisting of System, Service and Software, the information entropy of the Trustworthy Workflow Management System (TWfMS) will evolve from being more precise to more undetermined, due to a series of exception event X occurring on certain components (ExCs), along with the life cycle of TWfMS, experienced in its phased original, as-is, to-be, and agile-consistent stages, and recover, more precisely again, by turning back to the original state from the agile-consistent stage, due to its self-autonomous improvement. With a special emphasis on the system layer, to assure the trustworthiness of WfMS, this paper firstly introduces the preliminary knowledge of the hierarchical information entropy model with correlation theories. After illustrating the fundamental principle, the transformation rule is deduced, step by step, followed by a case study, which is conducive to generating discussions and conclusions in the different research areas of TWfMS. Overall, in this paper, we argue that the trustworthiness maintenance of WfMS could be analyzed and computational, through the viewpoint that all the various states of TWfMS can be considered as the transformation between WfMS and its trustworthiness compensate components, whose information entropy fluctuate repeatedly and comply with the law of the dissipative structure system.
Highlights
As one of the chaotic effective metrics of the member systems that belongs to the workflow management system (WfMS), information entropy reflects the uncertainty of its trustworthiness, covered with gradually deepening layers from top to bottom, i.e., system engineering [1], service computing [2], and software engineering [3,4]
These unavoidable exception events of service combination, parameter configuration, performance optimization, and healing data (EsCs, event of the parameter configuration components (EcCs), EoCs, and event of the healing data components (EhCs)) will result in the decrease of the trustworthiness of WfMS, the management and monitor tool will start the related activities implemented from WfMS-#11 back to WfMS-#5, which correspond to Equation (20) in Section 4, in order to solve the problem of local resilience engineering (LRE)
Process Management System (BPMS) will evolve into a Workflow Management System (WfMS) by Computer Aided Software Engineering (CASE) experimental and development environment, via semi automation pattern mixed with manual intervention and, the WfMS will evolve into Trustworthy WfMS (TWfMS), because of its continuously disappearing high-entropy information and gaining of low-entropy through the work of “compensation” N, which refers to the de S, i.e., the exchange of entropy from the outside of the whole system, in other words, the environment
Summary
As one of the chaotic effective metrics of the member systems that belongs to the workflow management system (WfMS), information entropy reflects the uncertainty of its trustworthiness, covered with gradually deepening layers from top to bottom, i.e., system engineering [1], service computing [2], and software engineering [3,4]. The Entity (E*) and Agents (A*) are intertwined with each other, covering the real world and information world with the Trust_Workflow (T_W) based on the Trust_Service (T_S), into business processes among the users and service developers or providers. With the digitalization evolution in the Real World, some entities undertake mechanized repetitive operations These are selected out and changed into intelligent agents, which results in the emergence of the Real and Information World. Gives the case study on the course timetabling problems from the case-based reasoning (CBR) system viewpoint; and Section 6 summarizes future research areas, with discussions and conclusions
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