2 research outputs found

    An equation of state for insect swarms

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    Collective behaviour in flocks, crowds, and swarms occurs throughout the biological world. Animal groups are generally assumed to be evolutionarily adapted to robustly achieve particular functions, so there is widespread interest in exploiting collective behaviour for bio-inspired engineering. However, this requires understanding the precise properties and function of groups, which remains a challenge. Here, we demonstrate that collective groups can be described in a thermodynamic framework. We define an appropriate set of state variables and extract an equation of state for laboratory midge swarms. We then drive swarms through “thermodynamic” cycles via external stimuli, and show that our equation of state holds throughout. Our findings demonstrate a new way of precisely quantifying the nature of collective groups and provide a cornerstone for potential future engineering design

    TCP Connection Management for Stateful Container Migration at the Network Edge - MedComNet2023

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    The "TCP Connection Management for Stateful Container Migration at the Network Edge" presentation was delivered by Yenchia Yu (POLITO) in the 21st Mediterranean Communication and Computer Networking Conference (MedComNet 2023) held on the 13-15 of June 2023, in Ponza, Italy. The full conference paper is available here
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