Dynamic Reconfiguration Architectures and Algorithms SERIES IN COMPUTER SCIENCE Series Editor: Rami G. Melhem University of Pittsburgh Pittsburgh.
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Extra info for Dynamic Reconfiguration: Architectures and Algorithms Series in Computer Science. For instance in lines 3—4, the processors participate simultaneously in a partitioning phase.
In lines 6—7, where the enabled processors carry out the communication phase, processors of line 7 read the values written by processors of line 6. We also assume that if no processor writes to a bus, then reading from that bus into a variable does not alter the contents of that variable.
dynamic reconfiguration architectures and algorithms (series in computer science)
Chapter 8 describes these topics in detail. Many R-Mesh algorithms trade efficiency for running time. Here we examine situations where this saving in R-Mesh size comes without any increase in the time complexity of the algorithm. Chapter 8 describes other trade-offs between speed and processor requirements of R-Mesh algorithms.
By Ramachandran Vaidyanathan Dynamic Reconfiguration: Chapter 10 addresses the use of fiber optic buses in reconfigurable architectures.
The book is well written and has ample illustrations and examples. Issues are addressed in both practical and theoretical terms. The book will be useful as a text at the graduate level and may also prove valuable to the research and industrial communities. Biologically inspired systems are currently of great interest to researchers in the software engineering and AI artificial intelligence fields for two reasons. The first is integration. Biological systems are highly integrated dispersed subsystems that work with great collaborative synchronization.
The second reason is self-maintenance.
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In the age of open networks and connected enterprises, self-maintenance is high on the agenda of both software engineers and users. This book focuses on immunity systems, which demonstrate both integration and self-maintenance. Introductory chapters cover the components of biological systems; the use of analogy and metaphor in system development, particularly in AI; and the different computationally oriented views of biological systems.
Subsequent chapters discuss the immunity-based system models. Sensor networks as self-organizing networks are also discussed, as well as the use of immunity-based systems in agents.
dynamic reconfiguration architectures and algorithms (series in computer - Tài liệu text
The book also covers the multi-agent framework and its applications; the concepts of the framework and an immune algorithm; and an application of this framework to neutralize noise. Later chapters describe the applications of immune-based systems in a slightly different field of distributed information systems.
At this stage, one might hope that security, as an important application of immune systems in developing distributed systems, would be discussed, but the author takes the agents and robots research viewpoint; hence, the focus is still on multi-agent systems.