Enabling Predictable Performance in Cloud Computing
(September 2018 onwards)
Cloud computing allows tenants to economically rent compute and storage resources from providers. To enable low resource prices, providers consolidate multiple tenants onto a single physical server. However, this sharing of physical resources among tenants often leads to contention, resulting in unpredictable performance. Worse, tenants cannot observe resource contention due to the opaque nature of cloud computing. This project will develop novel performance models to estimate resource contention in opaque cloud deployments. These models will then be leveraged to develop solutions for cloud tenants that mitigate performance variation, thus enabling predictable performance in clouds.
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