Resource Management for Improving Soft-Error and Lifetime Reliability of Real-Time MPSoCs

Author(s):  
Junlong Zhou ◽  
Jin Sun ◽  
Xiumin Zhou ◽  
Tongquan Wei ◽  
Mingsong Chen ◽  
...  
1995 ◽  
Author(s):  
Michael Davis ◽  
Elin L. Klaseen ◽  
Louis C. Schreier ◽  
Alan R. Downing ◽  
Jon Peha

Author(s):  
Xiaobin Xu ◽  
Hui Zhao ◽  
Chang Liu ◽  
Qi Wang ◽  
Shangguang Wang

Author(s):  
Youngmoon Lee ◽  
Hoon Sung Chwa ◽  
Kang G. Shin ◽  
Shige Wang

Big Data ◽  
2016 ◽  
pp. 848-886
Author(s):  
Nicola Cordeschi ◽  
Mohammad Shojafar ◽  
Danilo Amendola ◽  
Enzo Baccarelli

In this chapter, the authors develop the scheduler which optimizes the energy-vs.-performance trade-off in Software-as-a-Service (SaaS) Virtualized Networked Data Centers (VNetDCs) that support real-time Big Data Stream Computing (BDSC) services. The objective is to minimize the communication-plus-computing energy which is wasted by processing streams of Big Data under hard real-time constrains on the per-job computing-plus-communication delays. In order to deal with the inherently nonconvex nature of the resulting resource management optimization problem, the authors develop a solving approach that leads to the lossless decomposition of the afforded problem into the cascade of two simpler sub-problems. The resulting optimal scheduler is amenable of scalable and distributed adaptive implementation. The performance of a Xen-based prototype of the scheduler is tested under several Big Data workload traces and compared with the corresponding ones of some state-of-the-art static and sequential schedulers.


2009 ◽  
Vol 54 (1) ◽  
pp. 123-136 ◽  
Author(s):  
A. Gelonch ◽  
X. Revés ◽  
V. Marojevic ◽  
J. Nasreddine ◽  
J. Pérez-Romero ◽  
...  

Author(s):  
Daniel N. Mountjoy ◽  
Celestine A. Ntuen ◽  
Philip L. Yarbrough

As the Army prepares to move into the next century, it is exploring advances in technology that will enable U.S. military forces to obtain more complete data regarding its mission, enemy and friendly troop locations, weather, and target status. Not only will this data be more accurate, it will be collected and transmitted in near real-time. Advanced displays must be developed that allow commanders to efficiently deal with large volumes of data so that effective decisions can be made in a timely manner. This paper describes an experiment comparing three methods of displaying battlefield resources and unit mobility: (1) a combination of alphanumerics and standard Army decision graphics, (2) a configural display (CD) representation, and (3) an associative configural display representation (ACD). Results indicate that performance benefits are realized from both the CD and ACD representations, but the CD proved to be the best overall.


Sign in / Sign up

Export Citation Format

Share Document