In　recent　years,　the　development　of　edge　computing　technology　has　brought　many　conveniences　to　people’s　lives　and　many　outstanding　works　have　been　proposed.　However,　these　efforts　do　not　focus　on　the　selection　and　routing　problem　of　computing　nodes.　In　this　paper,　an　algorithm　is　designed　to　integrate　and　downscale　the　link　adjacency　matrix　and　computing　resource　table　of　multiple　moments　to　one　dimension,　changing　the　multi-layer　topology　into　a　single-layer　topology.　Based　on　this,　a　model　of　resource　evaluation　is　proposed,　which　can　evaluate　the　availability　of　link　and　node　resources　more　accurately.　Specifically,　a　bandwidth　and　computing　resource　fusion　method　based　on　network　topology　is　proposed.　On　this　basis,　an　anycast　scheduling　method　is　proposed,　which　features:　1)　using　a　resource　evaluation　model　evaluate　computing　and　bandwidth　resources;　2)　introducing　auxiliary　points　to　achieve　computing　and　bandwidth　resource　fusion,　integrating　resource　availability　evaluation　values　into　the　same　topology　and　performing　routing　and　resource　scheduling;　3)　updating　the　resource　evaluation　table　in　real　time,　thus　achieving　load　balancing.　Meanwhile　the　edge　computing　network　scenario　is　established　to　realize　the　simulation　of　dynamic　processes　such　as　background　flow　and　anycast　service.　On　this　basis,　the　performance　of　the　traditional　anycast　scheduling　method　and　the　scheduling　method　proposed　in　this　paper　are　compared.　The　experimental　results　show　that　the　algorithm　has　excellent　performance　in　terms　of　blocking　rate　and　utilization,　and　has　good　practicality　and　superiority　to　meet　the　computing　offloading　tasks　between　nodes　in　edge　computing　networks.　©　2023,　ICST　Institute　for　Computer　Sciences,　Social　Informatics　and　Telecommunications　Engineering.