#3342. Time-preference-based on-spot bundled cloud-service provisioning

October 2026publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Arts and Humanities (miscellaneous);
Developmental and Educational Psychology;
Management Information Systems;
Information Systems;
Information Systems and Management;
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Abstract:
The cloud computing spot instance is one offering that vendors are leveraging to provide differentiated service to an expanding pay-per-use computing market. Spot instances have cost advantages, albeit at a trade-off of interruptions that can occur when the users bid price falls below the spot price. We propose a behavioral-economic model in the form of time-preference-based bids, wherein users are willing to use and bid for services at other times if the vendor cannot provide the resources at the preferred time. We develop a time-preference-based optimization model. Since the optimization model is NP-Hard, we develop rule-based genetic algorithms. The results provide evidence for the viability of our approach for online service-provisioning problems.
Keywords:
Behavioral-economic model; Binary integer programming; Cloud computing; Genetic algorithms; Spot Market; Time-preference

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