In　this　paper,　we　introduce　a　strongly　strategy-proof　combinatorial　auction-based　grid　resource　allocation　system,　called　PheonixMarket.　The　key　advantages　of　PheonixMarket　are　that　it　makes　the　scheduling　with　the　time-varying　job　value　information;　guarantees　the　combinatorial　allocation　of　heterogeneous　resources,　incents　users　to　reveal　true　value　information　of　their　jobs,　encourages　users　to　contribute　their　redundant　resources　and　avoids　exceeding　resource　use　by　the　baleful　users.　In　the　performance　experiments,　the　economic　efficiency　of　PheonixMarket　is　analyzed.　We　then　measure　the　price　sensitivity　of　PheonixMarket　and　make　the　load　balance　experiment　based　on　its　price　＇signal＇.　Finally,　the　issue　of　taking　the　funding　as　a　form　of　priority　is　measured　in　the　experiments.