edUFlow: An Event-Driven Ubiquitous Flow Management System

Jung, Jae‐Yoon; Rosales, Pablo; Oh, Kyuhyup; Kim, Kyuri

doi:10.1007/978-3-642-28108-2_41

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…Existing event streaming schemes [116,78,26] were designed for specific scenarios. There is a lack of generic BP model for defining the streaming type activities for both intra-organisational, inter-organisational and edge networks.…”

Section: Run-time Monitoring and Event Streamingmentioning

confidence: 99%

“…• edUFlow [116] is a practical integration framework that composes the open-source Esper event correlation engine and GlassFish Message Queue to enable an IoT-driven event stream processing platform. The project also provides a GUI-based editor for the process configuration and runtime monitoring.…”

Section: Other Related Frameworkmentioning

confidence: 99%

“…Intelligence in BPMS4IoT involves challenges in efficient collecting and preprocessing data. These topics involve wise decision-making strategies supported either by the tools such as Complex Event Processing tool-open-source Esper engine used in edUFlow [116] and as a part of the integration framework-LinkSmart used in EBBITS [115], Tibco (http://www.tibco.com), Drools (http: //www.drools.org) or other machine learning, data mining, artificial intelligence techniques. Since Cabanillas et al [142] have discussed a list of major challenges in the event stream monitoring of BPMS for logistics that involves both cloud-side ERP system and the front-end vehicle-based mobile nodes, their work can serve as a guidance for the research in this direction.…”

Section: Intelligencementioning

confidence: 99%

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Mobile Cloud Business Process Management System for the Internet of Things

2016

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The Internet of Things (IoT) represents a comprehensive environment that consists of a large number of smart devices interconnecting heterogeneous physical objects to the Internet. Many domains such as logistics, manufacturing, agriculture, urban computing, home automation, ambient assisted living and various ubiquitous computing applications have utilised IoT technologies. Meanwhile, Business Process Management Systems (BPMS) have become a successful and efficient solution for coordinated management and optimised utilisation of resources/entities. However, past BPMS have not considered many issues they will face in managing large scale connected heterogeneous IoT entities. Without fully understanding the behaviour, capability and state of the IoT entities, the BPMS can fail to manage the IoT integrated information systems. In this paper, we analyse existing BPMS for IoT and identify the limitations and their drawbacks based on Mobile Cloud Computing perspective. Later, we discuss a number of open challenges in BPMS for IoT.

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Section: Run-time Monitoring and Event Streamingmentioning

confidence: 99%

Section: Other Related Frameworkmentioning

confidence: 99%

Section: Intelligencementioning

confidence: 99%

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Mobile Cloud Business Process Management System for the Internet of Things

2016

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“…One proof-of-concept even utilizes data models during process runtime in order to observe the probability of certain complex events (Schief et al, 2011). In contrast, another research prototype couples the CEP component with a BRE and, thereby, allows for the automatic initiation of specific reactions ( Jung et al, 2012). 4.1.5 Cluster 5: compliance, conformance and risk management.…”

Section: Synthesizing and Analyzing The Current State Of Researchmentioning

confidence: 99%

“…In contrast, the interactions with the process engine are mostly limited to request-based interface calls or require further hardwiring with some BRE. Such an interaction has been implemented by a single research prototype for integrating the sensor technology into BPM ( Jung et al, 2012). The same applies to the possible involvement of predictive capabilities in terms of EDPA whose results in turn only serve as a basis for a human-centric decision support (Schief et al, 2011).…”

Section: General Findingsmentioning

confidence: 99%

Event-Driven Business Process Management: where are we now?

Krumeich

Weis

Werth

et al. 2014

Business Process Mgmt Journal

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Purpose – The business operations of today's enterprises are heavily influenced by numerous of internal and external business events. With the Event Driven Architecture and particularly the Complex Event Processing (CEP), the technology required for identifying complex correlations in these large amounts of event data right after its appearance has already emerged. The resulting gain in operational transparency builds the foundation for (near) real-time reactions. This motivated extensive research activities especially in the field of Business Process Management (BPM), which essentially coined the term Event-Driven BPM (EDBPM). Now, several years after the advent of this new concept, the purpose of this paper is to shed light to the question: where are we now on our way towards a sophisticated adoption of the CEP technology within BPM? Design/methodology/approach – The research methodology of this paper is a structured literature analysis. It basically follows the procedure proposed by vom Brocke et al. (2009). This verified five-step process – entitled “Reconstructing the giant” – allowed a rigorous study. As a result, various research clusters were derived, whose state-of-the-art exposed existing research gaps within EDBPM. Findings – First of all, the paper provides a concise conceptual basis on different application possibilities of EDBPM. Afterwards, it synthesizes current research into six clusters and highlights most significant work within them. Finally, a research agenda is proposed to tackle existing research gaps to pave the way towards fully realizing the potentials of the paradigm. Originality/value – So far, a comparable study of the current state-of-the-art within EDBPM is non-existent. The findings of this paper, e.g. the proposed research agenda, help scholars to focus their research efforts on specific aspects that need to be considered in order to advance the adoption of the CEP technology within BPM.

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