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Key-value stores (e.g., Memcached) and web servers (e.g., NGINX) are widely used by cloud providers. As interactive services, they have strict service-level objectives, with typical 99th-percentile tail latencies on the order of a few milliseconds. Unlike average latency, tail latency is more sensitive to changes in usage load and traffic patterns, system configurations, and resource availability...
Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services. However, the difficulty lies in the facts that these objectives, e.g., throughput and cost, can be naturally conflicted; and the QoS of cloud-based services often interfere due to the shared infrastructure in cloud...
With more parallel and distributed applications moving to Cloud and data centers, it is challenging to provide predictable and controllable resources to multiple tenants, and thus guarantee application performance. In this paper, we propose an integrated QoS-aware resource provisioning platform based on virtualization technology for computing, storage and network resources. Coarse-grained CPU mapping...
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