Autonomic Computing by Philippe Lalanda
This textbook provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.-
Modelling Computing Systems
-
Sets, Logic and Maths for Computing
-
Principles of Digital Image Processing
-
Introduction to Artificial Intelligence
-
A First Introduction to Quantum Computing and Information
-
Introduction to Data Science
-
A Practical Approach to Compiler Construction
-
A Concise Introduction to Languages and Machines
-
Fundamentals of Discrete Math for Computer Science
-
Data Structures and Algorithms with Python
-
Mathematics for Computer Graphics
-
A Beginners Guide to Python 3 Programming
-
Philosophical and Cultural Aspects of Computing
-
Principles of Data Mining
-
Pattern Recognition
-
Introduction to Deep Learning
-
Financial Software Engineering
-
Guide to Competitive Programming
-
Advanced Guide to Python 3 Programming
-
Introduction to Medical Image Analysis
-
Introduction to Video and Image Processing
-
Introduction to Software Quality
-
Multicore Programming Using the ParC Language
-
Introduction to HPC with MPI for Data Science
-
Computability and Complexity
-
Object-Oriented Programming Languages: Interpretation
-
Introduction to Parallel Computing
-
Concise Guide to Databases
-
Human-Centred Scientific Data Visualisation
-
Guide to Using Generative AI in Programming
-
Programming in HTML and PHP
-
Introduction to Cryptographic Definitions
-
Proofs and Algorithms
-
Introduction to Software Process Improvement
-
Rigorous Software Development
-
Sensing and Systems in Pervasive Computing
-
OCaml Scientific Computing
-
Applied Logic for Computer Scientists
-
Basic Graph Theory
Dr. Philippe Lalanda is a professor of software engineering at the Joseph Fourier University, Grenoble, France.
Dr. Julie A. McCann is a Reader in Computer Systems at Imperial College London, UK.
Dr. Ada Diaconescu is a lecturer (maître de conférences) in the Department of Computing and Networks at Télécom ParisTech, France.
| SKU | Unavailable |
| ISBN 13 | 9781447150060 |
| ISBN 10 | 1447150066 |
| Title | Autonomic Computing |
| Author | Philippe Lalanda |
| Series | Undergraduate Topics In Computer Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2013-05-28 |
| Number of pages | 288 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |