TJS
2010
13 years 7 months ago
2010
When the workflow application is executed in Service-Oriented Grid (SOG), performance issues such as service scheduling should be considered, to achieve high and stable performance...
TC
2010
13 years 7 months ago
2010
In this paper, we define and study a new class of capacity planning models called MAP queueing networks. MAP queueing networks provide the first analytical methodology to describe ...
TC
2010
13 years 7 months ago
2010
Dynamic voltage and frequency scaling (DVFS) is a well known and effective technique for reducing power consumption in modern microprocessors. An important concern though is to est...
TASLP
2010
13 years 7 months ago
2010
This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixt...
TASE
2010
IEEE
13 years 7 months ago
2010
IEEE
The feedforward compensation of nonlinearities, i.e., hysteresis and creep, and unwanted vibrations in micromanipulators is presented in this paper. The aim is to improve the gener...
SIGOPS
2010
13 years 7 months ago
2010
Modern chip-level multiprocessors (CMPs) contain multiple processor cores sharing a common last-level cache, memory interconnects, and other hardware resources. Workloads running ...
SIGOPS
2010
13 years 7 months ago
2010
Finding an efficient configuration for cluster-based multi-tier Internet services is often a difficult task. Moreover, even a good configuration could become obsolete, depending o...
SIGMETRICS
2010
ACM
13 years 7 months ago
2010
ACM
The prevalence of multicore architectures has made the performance analysis of multithreaded applications an intriguing area of inquiry. An understanding of locality effects and c...
PE
2010
Springer
13 years 7 months ago
2010
Springer
Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
JMLR
2010
13 years 7 months ago
2010
Reliable estimation of the classification performance of learned predictive models is difficult, when working in the small sample setting. When dealing with biological data it is ...