• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.87-96
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• 2019

In this paper, we propose a MapReduce-supported clustering technique for collecting and classifying distributed workflow enactment event logs as a preprocessing tool. Especially, we would call the distributed workflow enactment event logs as Workflow BIG-Logs, because they are satisfied with as well as well-fitted to the 5V properties of BIG-Data like Volume, Velocity, Variety, Veracity and Value. The clustering technique we develop in this paper is intentionally devised for the preprocessing phase of a specific workflow process mining and analysis algorithm based upon the workflow BIG-Logs. In other words, It uses the Map-Reduce framework as a Workflow BIG-Logs processing platform, it supports the IEEE XES standard data format, and it is eventually dedicated for the preprocessing phase of the ${\rho}$-Algorithm that is a typical workflow process mining algorithm based on the structured information control nets. More precisely, The Workflow BIG-Logs can be classified into two types: of activity-based clustering patterns and performer-based clustering patterns, and we try to implement an activity-based clustering pattern algorithm based upon the Map-Reduce framework. Finally, we try to verify the proposed clustering technique by carrying out an experimental study on the workflow enactment event log dataset released by the BPI Challenges.

• IE interfaces
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• v.16 no.spc
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• pp.49-54
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• 2003

In e-business environment, business processes inevitably get more entangled and entail collaboration between distributed and heterogeneous platforms that are not easy to manage. Therefore, systematic and automated management of business process execution has drawn a great concern among companies that necessitate collaborative business processes. The concept of workflow inheritance enables abstraction, polymorphism and reusability of processes, and therefore contributes to extending and executing the processes effectively. We analyze various types of interoperation between business processes, and identify 6 primitive interoperability patterns. We propose a method for extensible collaborative process composition using workflow inheritance and provide collaborative workflow between business processes using web services.

• The Journal of Society for e-Business Studies
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• v.15 no.2
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• pp.191-203
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• 2010

Recently applications of RFID technologies in production and logistics systems are expanding. In this research, we deal with workflow modeling methods for handling RFID-tagged parts. We verified that the material flow processes in a RFID system can be designed and assessed using workflow modeling notations, and suggested available process patterns using BPMN. In addition, we proposed an algorithm to monitor the exact status of flows and determine whether some of the events are ghost reads or not by referring predefined workflow definitions. The major contribution of this research is that it has demonstrated how well-established workflow modeling methods can be applied to RFID-based systems.

• International Journal of Contents
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• v.16 no.4
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• pp.16-25
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• 2020

The size of observation data in astronomy has been increasing exponentially with the advents of wide-field optical telescopes. This means the needs of changes to the way used for large-scale astronomy data analysis. The complexity of analysis tools and the lack of extensibility of computing environments, however, lead to the difficulty and inefficiency of dealing with the huge observation data. To address this problem, this paper proposes a workflow execution system for analyzing large-scale astronomy data efficiently. The proposed system is composed of two parts: 1) a workflow execution manager and its RESTful endpoints that can automate and control data analysis tasks based on workflow templates and 2) an elastic resource manager as an underlying mechanism that can dynamically add/remove virtualized computing resources (i.e., virtual machines) according to the analysis requests. To realize our workflow execution system, we implement it on a testbed using OpenStack IaaS (Infrastructure as a Service) toolkit and HTCondor workload manager. We also exhaustively perform a broad range of experiments with different resource allocation patterns, system loads, etc. to show the effectiveness of the proposed system. The results show that the resource allocation mechanism works properly according to the number of queued and running tasks, resulting in improving resource utilization, and the workflow execution manager can handle more than 1,000 concurrent requests within a second with reasonable average response times. We finally describe a case study of data reduction system as an example application of our workflow execution system.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.605-606
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• 2010

• IE interfaces
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• v.25 no.1
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• pp.79-86
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• 2012

Traditional business process management systems provide verification tools of process models to deploy and automate the models. However, there are not so many studies on how to maintain systematically collaborative process models such as supply chain processes when companies are willing to change and update the collaborative process models. In this paper, we analyze change patterns of collaborative processes and declare 19 change patterns. In addition, we apply the change patterns to the process interoperability patterns in order to identify the change problems in case of independent process changes of collaborative processes. As a result, we devise an independency checking algorithm of process changes in collaborative processes.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.537-539
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• 1999

jFlow는 OMG에 의해서 표준으로 제정된 워크플로우 관리 시스템이다. 이 표준안은 객체지향 패러다임으로 설계되어져 있으나 효과적인 표현 방법을 사용하지 않아서 제정된 시스템에 대한 이해가 용이하지 않다. 본 논문에서는 표준안인 jFlow의 내용을 수용하는 객체지향 워크플로우 관리 시스템 설계와 구현에 있어서 디자인 패턴이 효율적인 접근 방법임을 보인다. 이를 위해서 본 논문에서는 디자인 패턴을 이용하여 설계되고 구현하고 있는 한우리/TFlow 워크플로우 관리 시스템을 간단히 소개하고 프로세스 생성과 변경등에서의 jFlow와 한우리/TFlw 시스템의 클래스 구성방식을 비교 분석한다.

• Journal of KIISE:Databases
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• v.32 no.6
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• pp.603-615
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• 2005

As recent business environments are changed and become complex, a more efficient and effective business process management are needed. This paper proposes a new approach to the automatic execution of business processes using Event-Condition-Action (ECA) rules that can be automatically triggered by an active database. First of all, we propose the concept of blocks that can classify process flows into several patterns. A block is a minimal unit that can specify the behaviors represented in a process model. An algorithm is developed to detect blocks from a process definition network and transform it into a hierarchical tree model. The behaviors in each block type are modeled using ACTA formalism. This provides a theoretical basis from which ECA rules are identified. The proposed ECA rule-based approach shows that it is possible to execute the workflow using the active capability of database without users' intervention.

• The Journal of Society for e-Business Studies
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• v.11 no.3
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• pp.73-88
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• 2006

As a computerized application for controlling enterprise processes, BPM(Business Process Management) has been received such concerns that many solution vendors developed their own process definition and storage methods. The fact causes the needs of process modeling standards for process model exchange and at the same time, requires the appropriate methodology for adopting the global standards. In this paper, we propose a transformation methodology of BPMN-based file into XMI(XML Metadata Interchange)-based neutral file format. We devised translation templates for 21 workflow patterns, and compared the results with BPEL4WS(Business Process Execution Language for Web Services) translation. As a result, our XMI transformation model enables more complete translation of process model in comparison with existing model, and thus can be practically utilized to the BPM vendors adopting BPMN standards.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1148-1161
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• 2017

The success of a business process management system stands or falls on the quality of the business processes. Many experiments therefore have been devoting considerable attention to the modeling and analysis of business processes in process-centered organizations. One of those experiments is to apply the probabilistic theories to the analytical evaluations of business process models in order to improve their qualities. In this paper, we excogitate a conceptual way of applying a probability theory of proportions into modeling business processes. There are three types of routing patterns such as sequential, disjunctive, conjunctive and iterative routing patterns in modeling business processes, into which the proportion theory is applicable. This paper focuses on applying the proportion theory to the disjunctive routing patterns, in particular, and formally named proportional information control net that is the formal representation of a corresponding business process model. In this paper, we propose a conceptual approach to discover a proportional information control net from the enactment event histories of the corresponding business process, and describe the details of a series of procedural frameworks and operational mechanisms formally and graphically supporting the proposed approach. We strongly believe that the conceptual approach with the proportional information control net ought to be very useful to improve the quality of business processes by adapting to the reengineering and redesigning the corresponding business processes.