Enabled to provide pervasive access to distributed resources in parallel ways

heterogeneous scheduling is extensively applied in large-scaled computing system for high performance.Conventional real-time scheduling algorithms

however

disregard energy-efficiency in addition to stringent timing constraints.In recognition of green computing

an energy-aware model is firstly presented.Secondly

inspired by multi disciplines

the meta-heuristic is addressed based on the supercomputer hybrid architecture.On the other hand

some technological breakthroughs are achieved

including boundary conditions for different heterogeneous computing and grid scheduling and descriptions of real-time variation of scheduling indexes (stringent timing constraints and energy-efficiency).Extensive simulator and simulation experiments highlight higher efficacy and better scalability for the proposed approaches compared with the other three meta-heuristics;the overall improvements achieve 8%

15% and 17% for high-dimension instances

respectively.