Energy Aware Processor Architecture for Effective Scheduling and Power Management in Cloud Using Inclusive Power-Cognizant Processor Controller  

作　　者：Suma Sira Jacob C. Kezi Selva Vijila Suma Sira Jacob;C. Kezi Selva Vijila(Department of Computer Science and Engineering, Christian College of Engineering and Technology, Dindigul, India;Department of Electronics and Communication Engineering, Christian College of Engineering and Technology, Dindigul, India)

机构地区：[1]Department of Computer Science and Engineering, Christian College of Engineering and Technology, Dindigul, India [2]Department of Electronics and Communication Engineering, Christian College of Engineering and Technology, Dindigul, India

出　　处：《Circuits and Systems》2016年第8期1822-1833,共13页电路与系统（英文）

摘　　要：The fast acceptance of cloud technology to industry explains increasing energy conservation needs and adoption of energy aware scheduling methods to cloud. Power consumption is one of the top of mind issues in cloud, because the usage of cloud storage by the individuals or organization grows rapidly. Developing an efficient power management processor architecture has gained considerable attention. However, the conventional power management mechanism fails to consider task scheduling policies. Therefore, this work presents a novel energy aware framework for power management. The proposed system leads to the development of Inclusive Power-Cognizant Processor Controller (IPCPC) for efficient power utilization. To evaluate the performance of the proposed method, simulation experiments inputting random tasks as well as tasks collected from Google Trace Logs were conducted to validate the supremacy of IPCPC. The research based on Real world Google Trace Logs gives results that proposed framework leads to less than 9% of total power consumption per task of server which proves reduction in the overall power needed.The fast acceptance of cloud technology to industry explains increasing energy conservation needs and adoption of energy aware scheduling methods to cloud. Power consumption is one of the top of mind issues in cloud, because the usage of cloud storage by the individuals or organization grows rapidly. Developing an efficient power management processor architecture has gained considerable attention. However, the conventional power management mechanism fails to consider task scheduling policies. Therefore, this work presents a novel energy aware framework for power management. The proposed system leads to the development of Inclusive Power-Cognizant Processor Controller (IPCPC) for efficient power utilization. To evaluate the performance of the proposed method, simulation experiments inputting random tasks as well as tasks collected from Google Trace Logs were conducted to validate the supremacy of IPCPC. The research based on Real world Google Trace Logs gives results that proposed framework leads to less than 9% of total power consumption per task of server which proves reduction in the overall power needed.

关 键 词：Energy Efficiency Power Management Task Scheduling Virtual Machine Processor Architecture 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]