Monitoring and Self-awareness for Heterogeneous, Adaptive Computing Systems

2011 ◽  
pp. 163-177 ◽  
Author(s):  
David Kramer ◽  
Rainer Buchty ◽  
Wolfgang Karl
Keyword(s):  
Adaptive Computing ◽  
Self Awareness ◽  
Computing Systems

scholarly journals Reconfigurable Architectures for System Level Applications of Adaptive Computing

VLSI Design ◽  
2000 ◽  
Vol 10 (3) ◽  
pp. 265-279 ◽  
Author(s):  
Brian Schott ◽  
Stephen P. Crago ◽  
Robert H. Parker ◽  
Chen H. Chen ◽  
Lauretta C. Carter ◽  
...  
Keyword(s):  
Automatic Target Recognition ◽  
System Level ◽  
Reconfigurable Architectures ◽  
Synthetic Aperture ◽  
Adaptive Computing ◽  
Computing Systems ◽  
Systems Architecture ◽  
Network Cluster ◽  
Heterogeneous Fpga ◽  
Radar Automatic Target Recognition

The System Level Applications of Adaptive Computing (SLAAC) project is defining an open, distributed, scalable, adaptive computing systems architecture based on a highspeed network cluster of heterogeneous, FPGA-accelerated nodes. Two reference implementations of this architecture are being created. The Research Reference Platform (RRP) is a MyrinetTM cluster of PCs with PCI-based FPGA accelerators (SLAAC-1). The Deployable Reference Platform (DRP) is a Myrinet cluster of PowerPCTM nodes with VME-based FPGA accelerators (SLAAC-2) and a commercial 6U-VME quad- PowerPC board (CSPI M2641S) serving as the carrier. A key strategy proposed for successful ACS technology insertions is source-code compatibility between the RRP and DRP platforms. This paper focuses on the development of the SLAAC-1 and SLAAC-2 accelerators and how the network-centric SLAAC system-level architecture has shaped their designs. A preliminary mapping of a Synthetic Aperture Radar/Automatic Target Recognition (SAR/ATR) algorithm to SLAAC-2 is also discussed.

Role-Based Autonomic Systems

2010 ◽  
Vol 2 (3) ◽  
pp. 32-51 ◽  
Author(s):  
Haibin Zhu
Keyword(s):  
Autonomic Computing ◽  
Self Management ◽  
Self Awareness ◽  
Self Healing ◽  
Systems Management ◽  
Computing Systems ◽  
Computing Paradigm ◽  
Role Based ◽  
Coordination And Collaboration ◽  
Self Protection

Autonomic Computing is an emerging computing paradigm used to create computer systems capable of self-management in order to overcome the rapidly growing complexity of computing systems management. To possess self-* properties, there must be mechanisms to support self-awareness, that is an autonomic system should be able to perceive the abnormality of its components. After abnormality is checked, processes of self-healing, self-configuration, self-optimization, and self-protection must be completed to guarantee the system works correctly and continuously. In role-based collaboration (RBC), roles are the major media for interaction, coordination, and collaboration. A role can be used to check if a player behaves well or not. This paper investigates the possibility of using roles and their related mechanisms to diagnose the behavior of agents, and facilitate self-* properties of a system.

Unified Debug Environment for Adaptive Computing Systems

2003 ◽  
Author(s):  
Brad Hutchings ◽  
Brent Nelson ◽  
Mike Wirthlin ◽  
Doran Wilde
Keyword(s):  
Adaptive Computing ◽  
Computing Systems

scholarly journals A Survey of Self-Awareness and Its Application in Computing Systems

2011 ◽  
Author(s):  
Peter R. Lewis ◽  
Arjun Chandra ◽  
Shaun Parsons ◽  
Edward Robinson ◽  
Kyrre Glette ◽  
...  
Keyword(s):  
Self Awareness ◽  
Computing Systems
Sign in / Sign up

Export Citation Format

Share Document