Model-Based Methods for Quality Evaluation of Cloud Services
| Autor: | Kaliappa Ravindran, Arun Adiththan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Distributed computing Software as a service Quality of service System identification 020206 networking & telecommunications Cloud computing 02 engineering and technology System under test Server 0202 electrical engineering electronic engineering information engineering Resource allocation 020201 artificial intelligence & image processing Data as a service business |
| Zdroj: | DASC/PiCom/DataCom/CyberSciTech |
| DOI: | 10.1109/dasc/picom/cbdcom/cyberscitech.2019.00130 |
| Popis: | The issue of less-than-100% reliability and trustworthiness of third-party controlled cloud components (e.g., IaaS and SaaS components from different vendors) may lead to laxity in the QoS guarantees offered by a service-support system S to various applications. Our goal is to assess how well the internal mechanisms of S are geared to offer a required level of service to the applications. Our external assessment of QoS provisioning involves the construction of a computational model of the actual system under test. We employ system identification technique that uses the computational model to determine the feasible resource allocation for an externally observed behavior and use it to infer the actual system parameters. Our external system assessment methodology delineates domain-knowledge of the system from the assessment process at a meta-level and hence allows re-use of the technique across different systems. We illustrate our QoS assessment method using a replicated data service case study. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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