Monitoring and Self-awareness for Heterogeneous, Adaptive Computing Systems

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.

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Algorithm analysis and mapping environment for adaptive computing systems (poster abstract)

Proceedings of the 2000 ACM/SIGDA eighth international symposium on Field programmable gate arrays - FPGA '00 ◽

10.1145/329166.329209 ◽

2000 ◽

Author(s):

Eric K. Pauer ◽

Paul D. Fiore ◽

John M. Smith ◽

Cory S. Myers

Keyword(s):

Algorithm Analysis ◽

Adaptive Computing ◽

Computing Systems ◽

Poster Abstract

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Role-Based Autonomic Systems

International Journal of Software Science and Computational Intelligence ◽

10.4018/jssci.2010070103 ◽

2010 ◽

Vol 2 (3) ◽

pp. 32-51 ◽

Cited By ~ 5

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.

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