Process mining‐constrained scheduling in the hybrid cloud

Summary Hybrid cloud, typically a combination of public and private cloud deployment models, is a rising paradigm due to the benefits it offers: full control of data and applications in the private cloud and elastic computing resource availability in the public cloud. This combination however brings...

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Bibliographic Details
Published in:Concurrency and computation 2021-02, Vol.33 (4), p.n/a
Main Authors: Azumah, Kenneth K., Sørensen, Lene T., Montella, Raffaele, Kosta, Sokol
Format: Article
Language:English
Subjects:
Algorithms
Business
Clouds
Complexity
Constraints
Data processing
event calculus
hybrid cloud computing
Modulus of elasticity
process mining
process‐awareness
Schedules
Task scheduling
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Summary:Summary Hybrid cloud, typically a combination of public and private cloud deployment models, is a rising paradigm due to the benefits it offers: full control of data and applications in the private cloud and elastic computing resource availability in the public cloud. This combination however brings an extra layer of complexity that can potentially erode the benefits and present serious challenges if not managed well. Among the challenges, ensuring business constraint compliance across the combination of cloud deployment models is a growing concern. Our article brings a sensitive, data‐ and process‐aware framework to bear on task scheduling in hybrid clouds with compliance to business constraints. Our proposed approach utilizes data from a real hybrid cloud‐based hospital billing system that is governed by complex and dynamic data processing rules. Our system successfully employs a process mining controlled algorithm to schedule tasks in the hybrid cloud to comply with the given set of business constraints.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.6025