Abstract: Cloud computing becomes more and more popular in large scale computing and data store recently because it enables the sharing of computing resources that are distributed all over the world．Cloud computing system is still facing many challenges in achieving low-cost,efficient,safe,easy-to-use computing．Saving computing resources energy has become a significant research topic which needs to be solved urgently．We proposed a subdeadline distribution approach to satisfy the deadline requirements of parallel tasks deadline．To achieve the goal of saving energy in the environment of the computing resources supply voltage to be dynamically adjusted,we proposed two energy-efficient scheduling algorithms—— energy first scheduling algorithm(Ssef) and energy genetic scheduling algorithm(Egsa) to satisfy subdeadline．Repeated experiments show that this two energy-efficient scheduling strategies can reduce the energy consumption considerably while meeting deadline constraints.

Key words: Cloud computing,Green computing,Subdeadline,Energy efficient scheduling