Nowadays power consumption has become a major concern in many areas. One of them is scheduling. Scheduling is frequently required in parallel systems (Distributed System, Embedded System and Multi -core System). There are various parallel systems in which some are hand held device such as laptop and some other such as distributed and embedded system that required energy saving for long life, be...

Please cite this article in press as: S.-G. Yoon et (2011), doi:10.1016/j.comnet.2011.02.019 Exploiting the multiuser diversity in wireless networks has a fundamental tradeoff between throughput and energy saving. To balance the tradeoff, we reconsider the opportunistic scheduling in the aspect of energy saving, and propose a new energy-efficient opportunistic (EEFO) scheduling. Our goal is to ...

To achieve high energy efficiency and low response time in big data stream computing environments, it is required to model an energy-efficient resource scheduling and optimization framework. In this paper, we propose a real-time and energy-efficient resource scheduling and optimization framework, termed the Re-Stream. Firstly, the Re-Stream profiles a mathematical relationship among energy cons...

Energy consumption is a critical design issue in real-time systems, especially in batteryoperated systems. Maintaining high performance, while extending the battery life between charges is an interesting challenge for system designers. Dynamic Voltage Scaling (DVS) allows a processor to dynamically change speed and voltage at run time, thereby saving energy by spreading run cycles into idle tim...

Energy efficiency has become an important measurement of scheduling algorithms in virtualized data centers. One of the challenges of energy-efficient scheduling algorithms, however, is the trade-off between minimizing energy consumption and satisfying quality of service (e.g. performance, resource availability on time for reservation requests). We consider resource needs in the context of virtu...

Power-aware scheduling has been of great interest for systems whose energy consumption needs to be minimized. In this paper, we improve a voltage-scalingbased power-aware scheduling algorithm to reduce the task’s energy consumption at the cost of a slower execution rate. The improved algorithm allows multiple scaling voltage levels of individual tasks in a task precedence graph and attempts to ...

Cloud computing has been a champion in Information Technology (IT) world for supporting flexibility on-demand services. It is leveraged to instantly fulfill dynamic demands from heterogeneous environment. However, the massive demand for the Cloud computing services contributed to high energy consumption, thus affecting cost of service and processing components lifetime. Quite a portion of the e...