TITLE:
Energy Aware Processor Architecture for Effective Scheduling and Power Management in Cloud Using Inclusive Power-Cognizant Processor Controller
AUTHORS:
Suma Sira Jacob, C. Kezi Selva Vijila
KEYWORDS:
Energy Efficiency, Power Management, Task Scheduling, Virtual Machine, Processor Architecture
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.8,
June
22,
2016
ABSTRACT: 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.