Performance Isolation in Cloud-Based Big Data Architectures
Bedir Tekinerdogan⁎; Alp Oral⁎,† ⁎Wageningen University, Information Technology, Wageningen, The Netherlands†Microsoft, Vancouver, Canada
Abstract
Cloud-based big data systems usually have many different tenants that require access to the server's functionality. In a nonisolated cloud system, the different tenants can freely use the resources of the server. Hereby, disruptive tenants who exceed their limits can easily cause degradation of performance of the provided services for other tenants. To ensure performance demands of the multiple tenants and meet fairness criteria, various performance isolation approaches have been introduced including artificial delay, ...
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