Although　mobile　cloud　computing　can　provide　flexible　services　to　computation-intensive　applications,　its　wide　network　span　makes　low　latency　a　thorny　problem.　By　deploying　cloud　resources　on　the　edge　of　the　network,　mobile　edge　computing　has　an　inherent　advantage　in　providing　quality　of　services　due　to　the　proximity　to　mobile　devices.　However,　the　capability　of　computing　resources　deployed　on　edge　servers　is　usually　much　less　than　that　of　the　remote　cloud　servers.　Current　researches　mainly　investigate　how　to　accommodate　computation　offloading　tasks　with　optimal　caching　and/or　offloading　strategies,　which　overlook　the　interplay　between　computing　and　caching.　Therefore,　this　paper　focuses　on　the　effect　of　caching　on　alleviating　the　pressure　of　computing　resources　and　attempts　to　reveal　how　caching　can　play　a　role　in　reducing　computing　resources　usage.　It　is　worth　noting　that　by　caching　computation　output　data　on　the　edge　and　mobile　devices,　contention　for　computing　resources　can　be　avoid　during　peak　times.　A　joint　computing　and　bandwidth　resource　allocation　problem　with　power　constraints　is　formulated　to　minimize　the　weighted　sum　of　energy　consumption　and　computing　resource　usage.　A　successive　convex　approximation　(SCA)　algorithm　is　adopted　and　simulation　results　proves　the　effectiveness　of　the　proposed　scheme　in　saving　computing　resources.　©　2021　IEEE.