Load　balancing　technique　plays　a　fundamental　role　in　distribution,　while　facing　numerous　challenges.　It　is　difficult　for　ordinary　load　algorithms　to　cope　with　complex　scenarios,　and　it　is　likely　that　uneven　load　will　lead　to　downtime　of　a　single　server,　thus　causing　an　avalanche　effect　and　eventually　breaking　down　the　whole　cluster.　This　paper　proposes　a　load　balancing　strategy　based　on　improved　ant　colony　algorithm,　considers　the　influence　of　task　length　and　processing　efficiency　in　the　algorithm　based　on　the　original　ant　colony　algorithm,　and　takes　the　load　rate　of　nodes　as　an　important　index　for　ants　to　select　path.　In　addition,　the　load　coefficient　includes　CPU,　memory,　IO,　and　network　bandwidth　into　the　calculation　range,　which　makes　the　obtained　server　load　condition　more　accurate.　Finally,　test　data　of　different　algorithms　are　obtained　through　experiments,　and　the　advantages　and　disadvantages　of　this　load　balancing　strategy　are　verified　after　horizontal　comparison.　©　Published　under　licence　by　IOP　Publishing　Ltd.