Abstract
Recently, the adoption of cloud computing for e-business has become standardized and began evolving into further execution models, such as serverless computing. One of the features of cloud computing is to provide computational resources on a pay-as-you-go model, where users pay only for what they use. These managed and serviced resources have characteristics that make them suitable for cost estimation in the early stages of business. This paper proposes a rapid cost estimation method for serverless computing using directed acyclic graph- (DAG) based formalization and matrix operations. Using a case study, we demonstrate that cost estimation under serverless computing can be effective in the early stages of business. Furthermore, we show that the cost estimation of serverless computing is more proportional to the required computational resources than the virtual machine- (VM) based cost estimation method.
Published Version
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