The great amounts of energy consumed by large-scale computing and network systems,
such as data centers and supercomputers, have been a major source of concern in a society …

High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

To alleviate the complex communication problems that arise as the number of on-chip
components increases, network-on-chip (NoC) architectures have been recently proposed …

Energy-efficient designs have played import roles for hardware and software
implementations for a decade. With the advanced technology of VLSI circuit designs, energy …

The smartphone is a typical cyberphysical system (CPS). It must be low energy consuming
and highly reliable to deal with the simple but frequent interactions with the cloud, which …

All surfaces encountered in practice appear rough at some level of detail. Existing shape
recovery methods are effective when applied to smooth diffuse surfaces but produce sparse …

In this paper, we analyze a workload trace from the Google cloud cluster and characterize
the observed failures. The goal of our work is to improve the understanding of failures in …

Slowdown factors determine the extent of slowdown a computing system can experience
based on functional and performance requirements. Dynamic Voltage Scaling (DVS) of a …

In this paper, we propose a harvesting-aware power management algorithm that targets at
achieving good energy efficiency and system performance in energy harvesting real-time …