Modern computing relies on future and emergent technologies which have been conceived via interaction between computer science, engineering, chemistry, physics and biology. This highly interdisciplinary book presents advances in the fields of parallel, distributed and emergent information processing and computation. The book represents major breakthroughs in parallel quantum protocols, elastic cloud servers, structural properties of interconnection networks, internet of things, morphogenetic collective systems, swarm intelligence and cellular automata, unconventionality in parallel computation, algorithmic information dynamics, localized DNA computation, graph-based cryptography, slime mold inspired nano-electronics and cytoskeleton computers.
Features
Truly interdisciplinary, spanning computer science, electronics, mathematics and biology
Covers widely popular topics of future and emergent computing technologies, cloud computing, parallel computing, DNA computation, security and network analysis, cryptography, and theoretical computer science
Provides unique chapters written by top experts in theoretical and applied computer science, information processing and engineering
From Parallel to Emergent Computing provides a visionary statement on how computing will advance in the next 25 years and what new fields of science will be involved in computing engineering. This book is a valuable resource for computer scientists working today, and in years to come.
Preface, Editor Bios
Editorial Boards of the International Journal of Parallel, Emergent and
Distributed Systems
Part 1 Networks and Parallel Computing
Chapter 1 On the Importance of Parallelism for the Security of Quantum
Protocols
Marius Nagy and Naya Nagy
Chapter 2 Analytical Modeling and Optimization of an Elastic Cloud Server
System
Keqin Li
Chapter 3 Towards an Opportunistic Software-Defined Networking Solution
Lefteris Mamatas, Alexandra Papadopoulou, and Vassilis Tsaoussidis
Chapter 4 Structural Properties and Fault Resiliency of Interconnection
Networks
Eddie Cheng, Rong-Xia Hao, Ke Qiu, and Zhizhang Shen
Part 2 Distributed Systems
Chapter 5 Dynamic State Transitions of Individuals Enhance Macroscopic
Behavioral Diversity of Morphogenetic Collective Systems
Hiroki Sayama
Chapter 6 Toward Modeling Regeneration via Adaptable Echo State Networks
Jennifer Hammelman, Hava Siegelmann, Santosh Manicka, and Michael Levin
Chapter 7 From Darwinian Evolution to Swarm Computation and Gamesourcing
Ivan Zelinka, Donald Davendra, Lenka Skanderová, Tomá Vantuch, Lumír
Kojecký, and Michal Bukáek
Chapter 8 A Scalable and Modular Software Architecture for Finite Elements on
Hierarchical Hybrid Grids
Nils Kohl, Dominik Thönnes, Daniel Drzisga, Dominik Bartuschat, and Ulrich
Rüde
Chapter 9 Minimal Discretised Agent-Based Modelling of the Dynamics of Change
in Reactive Systems
Tiago G. Correale and Pedro P.B. de Oliveira
Chapter 10 Toward a Crab-Driven Cellular Automaton
Yuta Nishiyama, Masao Migita, Kenta Kaito, and Hisashi Murakami
Chapter 11 Evolving Benchmark Functions for Optimization Algorithms
Yang Lou, Shiu Yin Yuen, and Guanrong Chen
Chapter 12 Do Ant Colonies Obey the Talmud?
Andrew Schumann
Chapter 13 Biomorphs with Memory
Ramón Alonso-Sanz
Chapter 14 Constructing Iterated Exponentials in Tilings of the Euclidean and
of the Hyperbolic Plane
Maurice Margenstern
Chapter 15 Swarm Intelligence for Area Surveillance Using Autonomous Robots
Tilemachos Bontzorlos, Georgios Ch. Sirakoulis, and Franciszek Seredynski
Part 3 Emergent Computing
Chapter 16 Unconventional Wisdom: Superlinear Speedup and Inherently Parallel
Computations
Selim G. Akl
Chapter 17 Algorithmic Information Dynamics of Emergent, Persistent, and
Colliding Particles in the Game of Life
Hector Zenil, Narsis A. Kiani, and Jesper Tegnér
Chapter 18 On Mathematics of Universal Computation with Generic Dynamical
Systems
Vasileios Athanasiou and Zoran Konkoli
Chapter 19 Localized DNA Computation
Hieu Bui and John Reif
Chapter 20 The Graph Is the Message: Design and Analysis of an Unconventional
Cryptographic Function
Selim G. Akl
Chapter 21 Computing via Self-optimising Continuum
Alexander Safonov
Chapter 22 Exploring Tehran with Excitable Medium
Andrew I. Adamatzky and Mohammad Mahdi Dehshibi
Chapter 23 Feasibility of Slime-Mold-Inspired Nano-Electronic Devices
Takahide Oya
Chapter 24 A Laminar Cortical Model for 3D Boundary and Surface
Representations of Complex Natural Scenes
Yongqiang Cao and Stephen Grossberg
Chapter 25 Emergence of Locomotion Gaits Through Sensory Feedback in a
Quadruped Robot
Paolo Arena, Andrea Bonanzinga, and Luca Patanè
Chapter 26 Towards Cytoskeleton Computers. A Proposal
Andrew I. Adamatzky, Jack Tuszynski, Jörg Pieper, Dan V. Nicolau, Rosaria
Rinaldi, Georgios Ch. Sirakoulis, Victor Erokhin, Jörg Schnauß, and David M.
Smith
Index
Andrew Adamatzky is Professor of Unconventional Computing and Director of the
Unconventional Computing Laboratory, Department of Computer Science, University
of the West of England, Bristol, United Kingdom. He does research in molecular computing,
reaction-diffusion computing, collision-based computing, cellular automata,
slime mould computing, massive parallel computation, applied mathematics, complexity,
nature-inspired optimisation, collective intelligence and robotics, bionics,
computational psychology, non-linear science, novel hardware, and future and emergent
computation. He authored seven books, including Reaction-Diffusion Computers
(Elsevier, 2005), Dynamics of Crowd-Minds (World Scientific, 2005), and Physarum
Machines (World Scientific, 2010), and edited 22 books in computing, including Collision
Based Computing (Springer, 2002), Game of Life Cellular Automata (Springer, 2010),
and Memristor Networks (Springer, 2014); he also produced a series of influential
artworks published in the atlas Silence of Slime Mould (Luniver Press, 2014). He is
founding editor-in-chief of the Journal of Cellular Automata (2005) and the Journal
of Unconventional Computing (2005) and editor-in-chief of the Journal of Parallel,
Emergent, Distributed Systems (2014) and Parallel Processing Letters (2018).
Selim G. Akl (Ph.D., McGill University, 1978) is a Professor at Queens University
in the Queens School of Computing, where he leads the Parallel and Unconventional
Computation Group. His research interests are primarily in the area of algorithm
design and analysis, in particular for problems in parallel computing and unconventional
computing. Dr. Akl is the author of Parallel Sorting Algorithms (Academic Press,
1985), The Design and Analysis of Parallel Algorithms (Prentice Hall, 1989), and
Parallel Computation: Models and Methods (Prentice Hall, 1997). He is co-author of
Parallel Computational Geometry (Prentice Hall, 1993), Adaptive Cryptographic Access
Control (Springer, 2010), and Applications of Quantum Cryptography (Lambert, 2016).
Georgios Ch. Sirakoulis is a Professor in Department of Electrical and Computer
Engineering at Democritus University of Thrace, Greece. His current research emphasis
is on complex electronic systems, future and emergent electronic devices, circuits,
models and architectures (memristors, quantum cellular automata, etc.), novel computing
devices and circuits, cellular automata, unconventional computing, high-performance
computing, cyber-physical and embedded systems, bioinspired computation and
bioengineering, FPGAs, modelling, and simulation. He co-authored two books, namely
Memristor-Based Nanoelectronic Computing Circuits and Architectures (Springer,
2016) and Artificial Intelligence and Applications (Krikos Publishing, 2010) and coedited
three books.
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