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Data-parallel applications, especially those associated with user-facing web services, have struggled to enhance their worst case performance. It is therefore important to improve the minimum amount of resources guaranteed for applications in a cluster. Existing cluster management frameworks, however, provide isolation for computation resources (such as CPU) only, and are oblivious to network isolation guarantees. In this paper, we design, implement and evaluate Libra, a new cluster management framework that helps to maximize the isolation guarantee for the bandwidth requirements from applications. We start with a theoretical analysis of the network sharing problem, which contains two key steps: container placement and bandwidth allocation. By collecting the status of access links and the bandwidth demand of applications, we coordinate the placement of containers to minimize the system bottleneck such …