Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Predicting Service Composition Costs with Complex Cost Behavior

Authors: Robson W. A. Medeiros; Nelson S. Rosa; Luís Ferreira Pires;

Predicting Service Composition Costs with Complex Cost Behavior

Abstract

Nowadays, many companies expose their competencies as services on the Internet to facilitate the cooperation with their customers. This situation has created a new marketplace where services have been provided with similar functionality but different qualities such as cost, performance, and reliability. In this scenario, service composition providers have faced the challenge of choosing services that fulfill an expected quality without compromising a planned budget. This challenge is even more stringent when services have different cost behaviors. As a consequence, services can be less expensive than others in a scenario and be more expensive in others. Several approaches have been proposed to address cost analysis of service compositions. However, these approaches have not considered all classes of possible cost behaviors, e.g., Fixed, variable, mixed and step cost. This paper addresses this limitation by proposing a solution to analyze costs of service compositions taking into account service reliability and all classes of cost behaviors. In order to evaluate the proposed solution, we carried out some experiments that show its effectiveness.

Country
Netherlands
Keywords

Cost, Service Composition Management, Reliability, SCS-Services, Cost Management, Service oriented computing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!