{"id":569568,"date":"2019-02-25T08:24:36","date_gmt":"2019-02-25T16:24:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=569568"},"modified":"2019-02-25T08:24:36","modified_gmt":"2019-02-25T16:24:36","slug":"slim-os-kernel-support-for-a-low-overhead-container-overlay-network","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/slim-os-kernel-support-for-a-low-overhead-container-overlay-network\/","title":{"rendered":"Slim: OS Kernel Support for a Low-Overhead Container Overlay Network"},"content":{"rendered":"

Containers have become the de facto method for hosting large-scale distributed applications. Container overlay networks are essential to providing portability for containers, yet they impose significant overhead in terms of throughput, latency, and CPU utilization. The key problem is a reliance on packet transformation to implement network virtualization. As a result, each packet has to traverse the network stack twice in both the sender and the receiver\u2019s host OS kernel. We have designed and implemented Slim, a low-overhead container overlay network that implements network virtualization by manipulating connection-level metadata. Our solution maintains compatibility with today\u2019s containerized applications. Evaluation results show that Slim improves the throughput of an in-memory key-value store by 66% while reducing the latency by 42%. Slim reduces the CPU utilization of the in-memory key-value store by 54%. Slim also reduces the CPU utilization of a web server by 28%-40%, a database server by 25%, and a stream processing framework by 11%.<\/p>\n","protected":false},"excerpt":{"rendered":"

Containers have become the de facto method for hosting large-scale distributed applications. Container overlay networks are essential to providing portability for containers, yet they impose significant overhead in terms of throughput, latency, and CPU utilization. The key problem is a reliance on packet transformation to implement network virtualization. As a result, each packet has to 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