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For many networking applications, recent data is more significant than olderdata, motivating the need for sliding window solutions. Various capabilities,such as DDoS detection and load balancing, require insights about multiplemetrics including Bloom filters, per-flow counting, count distinct and entropyestimation.  In this work, we present a unified construction that solves all the aboveproblems in the sliding window model. Our single solution offers a better spaceto accuracy tradeoff than the state-of-the-art for each of these individualproblems! We show this both analytically and by running multiple real Internetbackbone and datacenter packet traces.

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