With　the　continuous　innovation　of　information　technology,　the　Internet　of　Everything　(IoE)　is　gradually　being　realized,　and　more　IoT　application　scenarios　have　increasingly　urgent　requirements　for　high-performance　computing　and　low-latency　response.　To　address　the　bottleneck　of　insufficient　computing　power　and　energy　constraints　of　terminal　devices,　edge　computing　can　effectively　enhance　the　task　processing　capability　of　terminal　devices　and　improve　service　quality.　However,　existing　edge　computing　network　architectures,　which　often　provide　a　single　edge　server　computing　capability　based　on　terrestrial　networks,　cannot　meet　the　task　offloading　requirements　of　terminal　devices　in　ubiquitous　network　environments.　This　paper　designs　a　cloud-edge-end　collaboration　space-air-ground　integration　multi-layer　edge　computing　network　architecture　(CEEC-SAGIN),　and　based　on　this　architecture,　a　heterogeneous　network　system　of　terminal　devices,　multi-layer　edge　computing　services　and　cloud　computing　services　are　constructed.　Then,　a　task　processing　model　is　constructed　with　the　optimization　objective　of　minimizing　the　task　processing　delay　of　the　system,　taking　into　account　the　task　offloading　ratio,　computational　resources　and　transmission　resources　involved　in　the　task　processing　process　of　the　terminal　devices　of　the　system.　Further,　a　multi-layer　task　offloading　and　resource　allocation　algorithm　(MTORA)　is　proposed　to　realize　the　optimal　allocation　of　resources　in　system　task　processing.　Finally,　simulation　experiments　show　that　the　CEEC-AGIN　architecture　proposed　in　this　paper　can　meet　the　requirements　of　more　applications,　and　the　proposed　model　can　improve　the　system　task　processing　efficiency　by　up　to　roughly　15%　and　reduce　the　system　task　processing　latency　by　up　to　approximately　10%　compared　with　other　resource　allocation　strategies.　©　2024　IEEE.