Autonomic Computing
Towards an ASSL specification model for NASA swarm-based exploration missions
Proceedings of the 2008 ACM symposium on Applied computing
A Self-Scheduling Model for NASA Swarm-Based Exploration Missions Using ASSL
EASE '08 Proceedings of the Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems
COMPSAC '08 Proceedings of the 2008 32nd Annual IEEE International Computer Software and Applications Conference
Towards Security Hardening of Scientific Demand-Driven and Pipelined Distributed Computing Systems
ISPDC '08 Proceedings of the 2008 International Symposium on Parallel and Distributed Computing
ASSL Specification and Code Generation of Self-Healing Behavior for NASA Swarm-Based Systems
EASE '09 Proceedings of the 2009 Sixth IEEE Conference and Workshops on Engineering of Autonomic and Autonomous Systems
Autonomic specification of self-protection for distributed MARF with ASSL
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Modeling the Image-Processing Behavior of the NASA Voyager Mission with ASSL
SMC-IT '09 Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology
Towards a framework for specification and code generation of automatic systems
Towards a framework for specification and code generation of automatic systems
Choosing best algorithm combinations for speech processing tasks in machine learning using MARF
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
ASSL - Autonomic System Specification Language: A Framework for Specification and Code Generation of Autonomic Systems
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We discuss our research towards developing special properties that introduce autonomic behavior in distributed pattern-recognition systems. In our approach we use ASSL (Autonomic System Specification Language) to formally develop such properties for DMARF (Distributed Modular Audio Recognition Framework). These properties enhance DMARF with an autonomic middleware that manages the four stages of the framework's pattern-recognition pipeline. DMARF is a biologically inspired system employing pattern recognition, signal processing, and natural language processing helping us process audio, textual, or imagery data needed by a variety of scientific applications, e.g., biometric applications. In that context, the notion go autonomic DMARF (ADMARF) can be employed by autonomous and robotic systems that theoretically require less-to-none human intervention other than data collection for pattern analysis and observing the results. In this article, we explain the ASSL specification models for the autonomic properties of DMARF.