Attracted　by　the　inherent　security　and　privacy　protection　of　the　blockchain,　incorporating　blockchain　into　Internet　of　Things　(IoT)　has　been　widely　studied　in　these　years.　However,　the　mining　process　requires　high　computational　power,　which　prevents　IoT　devices　from　directly　participating　in　blockchain　construction.　For　this　reason,　edge　computing　service　is　introduced　to　help　build　the　IoT　blockchain,　where　IoT　devices　could　purchase　computational　resources　from　the　edge　servers.　In　this　paper,　we　consider　the　case　that　IoT　devices　also　have　other　tasks　that　need　the　help　of　edge　servers,　such　as　data　analysis　and　data　storage.　The　profits　they　can　get　from　these　tasks　is　closely　related　to　the　amounts　of　resources　they　purchased　from　the　edge　servers.　In　this　scenario,　IoT　devices　will　allocate　their　limited　budgets　to　purchase　different　resources　from　different　edge　servers,　such　that　their　profits　can　be　maximized.　Moreover,　edge　servers　will　set　＂best＂　prices　such　that　they　can　get　the　biggest　benefits.　Accordingly,　there　raise　a　pricing　and　budget　allocation　problem　between　edge　servers　and　IoT　devices.　We　model　the　interaction　between　edge　servers　and　IoT　devices　as　a　multileader　multi-follower　Stackelberg　game,　whose　objective　is　to　reach　the　Stackelberg　Equilibrium　(SE).　We　prove　the　existence　and　uniqueness　of　the　SE　point,　and　design　efficient　algorithms　to　reach　the　SE　point.　In　the　end,　we　verify　our　model　and　algorithms　by　performing　extensive　simulations,　and　the　results　show　the　correctness　and　effectiveness　of　our　designs.