Cloud computing is a paradigm that ensures the flexible, convenient and on-demand\nprovisioning of a shared pool of configurable network and computing resources. Its services can\nbe offered by either private or public infrastructures, depending on who owns the operational\ninfrastructure. Much research has been conducted to improve a cloudâ??s resource provisioning\ntechniques. Unfortunately, sometimes an abrupt increase in the demand for cloud services results in\nresource shortages affecting both providers and consumers. This uncertainty of resource demands\nby users can lead to catastrophic failures of cloud systems, thus reducing the number of accepted\nservice requests. In this paper, we present Bouncer--a workload admission control scheme for cloud\nservices. Bouncer works by ensuring that cloud services do not exceed the cloud infrastructureâ??s\nthreshold capacity. By adopting an application-aware approach, we implemented Bouncer on\nsoftware-defined network (SDN) infrastructure. Furthermore, we conduct an extensive study to\nevaluate our frameworkâ??s performance. Our evaluation shows that Bouncer significantly outperforms\nthe conventional service admission control schemes, which are still state of the art.
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