Seonghun Ham, Hyun Ahn, Kwanghoon Pio Kim, Journal of Internet Computing and Services, Vol. 20, No. 5, pp. 49-55, Oct. 2019
10.7472/jksii.2019.20.5.49, Full Text:  HTML
Keywords: Workflow Process, NoSQL, Process Mining, Event Log, Hadoop, Process Discovery

Abstract

Organizations design and operate business process models to achieve their goals efficiently and systematically. With the advancement of IT technology, the number of items that computer systems can participate in and the process becomes huge and complicated. This phenomenon created a more complex and subdivide flow of business process.The process instances that contain workcase and events are larger and have more data. This is an essential resource for process mining and is used directly in model discovery, analysis, and improvement of processes. This event log is getting bigger and broader, which leads to problems such as capacity management and I / O load in management of existing row level program or management through a relational database. In this paper, as the event log becomes big data, we have found the problem of management limit based on the existing original file or relational database. Design and apply schemes to archive and analyze large event logs through Hadoop, an open source distributed file system, and HBase, a NoSQL database system.

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