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Energy consumption and total cost of ownership are daunting challenges for Datacenters, because they scale disproportionately with performance. Datacenters running financial analytics may incur extremely high operational costs in order to meet performance and latency requirements of their hosted applications. Recently, ARM-based microservers have emerged as a viable alternative to high-end servers,...
Direct energy and energy dependent infrastructure costs are major contributors to the total cost of a data center. This paper evaluates the energy saving potential of the ARM Cortex-A9 MPCore processor, compared to more conventional Intel Xeon processors, when running certain server applications. The presented measurements show a three to eleven times better energy efficiency for ARM Cortex-A9 processors...
Existing computer systems do not allow the user to access the system when turning off the disk containing the OS for saving energy. Thus existing studies have focused on devising effective disk spin up/down schemes. This paper proposes the scheme to keep on providing limited services as well as to improve the energy consumption in computer system. To do so, we employ the method that moves the root...
The increasing computing requirements for GPUs (Graphics Processing Units) have favoured the design and marketing of commodity devices that nowadays can also be used to accelerate general purpose computing. Therefore, future high performance clusters intended for HPC (High Performance Computing) will likely include such devices. However, high-end GPU-based accelerators used in HPC feature a considerable...
Current trends in data-intensive applications increase the demand for larger physical memory, resulting in the memory subsystem consuming a significant portion of system's energy. Furthermore, data-intensive applications heavily rely on a large buffer cache that occupies a majority of physical memory. Subsequently, we are focusing on the power management for physical memory dedicated to the buffer...
The graphics processing unit (GPU) has emerged as a computational accelerator that dramatically reduces the time to discovery in high-end computing (HEC). However, while today's state-of-the-art GPU can easily reduce the execution time of a parallel code by many orders of magnitude, it arguably comes at the expense of significant power and energy consumption. For example, the NVIDIA GTX 280 video...
Since malwares in mobile devices are expected to follow the same evolution of malwares in PC environment, it seems useful to apply malware defense techniques in PC environment to mobile devices. However, the malware defense techniques have limitations in terms of energy efficiency and maintenance, so that it will be inefficient to use the techniques on mobile devices, especially if the number of mobile...
High energy consumption has become a critical challenge in all kinds of computer systems. Hardware-supported Dynamic Power Management (DPM) provides a mechanism to save disk energy by transitioning an idle disk to a low-power mode. However, the achievable disk energy saving is mainly dependent on the pattern of I/O requests received at the disk. In particular, for a given number of requests, a bursty...
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