【摘要】 文中利用现有的自我感知技术,以及电源管理的策略,提出了服务计算当中电源管理的新方案。具体通过自我感知框架感知服务的运行状态,对电源进行动态管理。达到在满足服务性能要求的基础上,对电源资源进行优化管理,缓解如今服务计算当中能耗急速增加的问题。通过实验发现基于自我感知的电源管理方案,能够在满足目标程序性能的基础上,通过调整程序使用的计算节点数目,达到节约电源、优化电源管理的目的。自我感知技术能够从程序的角度更好地反映程序的需求,满足关键程序对性能和资源的需求问题。更多还原

【Abstract】 It uses existing self-awareness technology and power management strategy to provide a new scheme to manage power in service computing.Through self-aware framework,can dynamically get the state of running service and manage the power to optimize power resources management without performance sacrifice.This can be used to ease rapidly increasing energy consumption problem in service computing.Through experiments find that power management scheme proposed can save power by dynamically reducing computing nodes and meet the performance requirements of target programs.Self-aware technology can better reflect needs of program from the perspective of the program itself and satisfy the performance and resource needs of key program.更多还原