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Automatic distribution analysis of business processes for cloud-based BPM

Tesfay, Tesfahun Aregawy (2013) Automatic distribution analysis of business processes for cloud-based BPM.

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Abstract:Business Process Management (BPM) has been used to organize, visualize, analyze, optimize and continuously improve the business processes of organizations. BPM supports the composition of Service-Oriented Architecture (SOA) services and human tasks into complete organizational business processes at the level of business process modeling. Many of these business process models involve several on-premise computation-intensive activities and data, requiring expensive massive computing power and data storage. In recent years, cloud computing emerged to offer opportunities, such as reducing the upfront investments in infrastructure and taking advantage of a vast amount of cheaper computational capacity and data storage resources. As a result, organizations considered migrating total or parts of on-premise business processes to cloud-based BPM as a favorable alternative for business process improvement. However, organizations face challenges regarding the identification and selection of distribution options of business processes into collaborating in-cloud and on-premise engines considering multiple cloud migration decision factors, such as cost benefits and privacy risks. Our main research objective in this thesis is to identify the most relevant cloud migration drivers and barriers, investigate how they should relate to business processes, and define algorithms that can be used to automatically identify and rank distribution options for Cloud-based BPM. The results of our research facilitate the automatic identification and selection of distribution options of business processes into collaborating in-cloud and on-premise engines, and their consequences. As a proof-of-concept implementation, we have developed an annotation language and automated system for identifying and ranking distribution options of business processes and their consequences by representing cost benefits and privacy risks for Cloud-based BPM in the BiZZdesign Architect modeling tool.
Item Type:Essay (Master)
Clients:
BiZZdesign, the Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:https://purl.utwente.nl/essays/63861
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