Abstract The usage of process choreographies and decentralized Business Process Management Systems has been named as an alternative to centralized business process orchestration. In choreographies, control over a process instance is shared between independent parties, and no party has full control or knowledge during process runtime. Nevertheless, it is necessary to monitor and verify process instances during runtime for purposes of documentation, accounting, or compensation. To achieve business process runtime verification, this work explores the suitability of the Bitcoin blockchain to create a novel solution for choreographies. The resulting approach is realized in a fully-functional software prototype. This software solution is evaluated in a qualitative comparison. Findings show that our blockchain-based approach enables a seamless execution monitoring and verification of choreographies, while at the same time preserving anonymity and independence of the process participants. Furthermore, the prototype is evaluated in a performance analysis.
The monitoring of choreographies has been investigated from different angles. argue that as a foundation for choreography monitoring, it is first necessary to negotiate a contract between the parties involved @cite_14 . For this, a markup language is provided which supports the exchange of choreography contracts. This language allows to define what monitoring information should be provided by which choreography participant and how this information is shared and accessed.
@cite_14
2131386763 2073201241 2888164449 2120883746
Cross-organizational business processes gain more and more attention in the scientific community. For modeling these processes, choreographies are an adequate solution to describe the observable behavior for each business participant and the corresponding protocols between them. Nevertheless, current approaches mainly focus on modeling and conformance checking before runtime. In contrast, this contribution concentrates on the runtime validation of choreographies and will thus propose a monitoring infrastructure that supports this validation. We will sketch the requirements for a monitoring infrastructure as well as the solutions in order to meet these requirements. Without such a reliable monitoring framework, a runtime validation framework simply would not be able to correctly validate the interactions. Business process monitoring in the area of service oriented computing is typically performed using business activity monitoring technology in an intra-organizational setting. Due to outsourcing and the increasing need for companies to work together to meet their joint customer demands, there is a need for monitoring of business processes across organizational boundaries. Thereby, partners in a choreography have to exchange monitoring data, in order to enable process tracking and evaluation of process metrics. In this paper, we describe an event-based monitoring approach based on BPEL4Chor service choreography descriptions. We show how to define monitoring agreements specifying events each partner in the choreography has to provide. We distinguish between resource events and complex events for calculation of process metrics using complex event processing technology. We present our implementation and evaluate the concepts based on a scenario. This paper presents a simple method for "do as I do" motion transfer: given a source video of a person dancing, we can transfer that performance to a novel (amateur) target after only a few minutes of the target subject performing standard moves. We approach this problem as video-to-video translation using pose as an intermediate representation. To transfer the motion, we extract poses from the source subject and apply the learned pose-to-appearance mapping to generate the target subject. We predict two consecutive frames for temporally coherent video results and introduce a separate pipeline for realistic face synthesis. Although our method is quite simple, it produces surprisingly compelling results (see video). This motivates us to also provide a forensics tool for reliable synthetic content detection, which is able to distinguish videos synthesized by our system from real data. In addition, we release a first-of-its-kind open-source dataset of videos that can be legally used for training and motion transfer. Meaningfully automating sociotechnical business collaboration promises efficiency-, effectiveness-, and quality increases for realizing next-generation decentralized autonomous organizations. For automating business-process aware cross-organizational operations, the development of existing choreography languages is technology driven and focuses less on sociotechnical suitability and expressiveness concepts and properties that recognize the interaction between people in organizations and technology in workplaces. This gap our suitability- and expressiveness exploration fills by means of a cross-organizational collaboration ontology that we map as a proof-of-concept evaluation to the eSourcing Markup Language (eSML). The latter we test in a feasibility case study to meaningfully support the automation of business collaboration. The developed eSourcing ontology and eSML is replicable for exploring strengths and weaknesses of other choreography languages.