Autonomic Computing: Concepts, Infrastructure, and by Manish Parashar, Salim Hariri

By Manish Parashar, Salim Hariri

The complexity of contemporary machine networks and platforms, mixed with the tremendous dynamic environments within which they function, is starting to outpace our skill to control them. Taking one more web page from the biomimetics playbook, the autonomic computing paradigm mimics the human autonomic anxious process to loose procedure builders and directors from appearing and overseeing low-level initiatives. Surveying the present course towards this paradigm, Autonomic Computing: suggestions, Infrastructure, and Applications deals a entire evaluate of cutting-edge examine and implementations during this rising area.

This booklet starts off via introducing the thoughts and requisites of autonomic computing and exploring the architectures required to enforce this sort of method. the point of interest then shifts to the methods and infrastructures, together with control-based and recipe-based options, by means of allowing structures, applied sciences, and providers proposed for reaching a suite of "self-*" houses, together with self-configuration, self-healing, self-optimization, and self-protection. within the ultimate part, examples of real-world implementations replicate the opportunity of rising autonomic platforms, reminiscent of dynamic server allocation and runtime reconfiguration and repair.

Collecting state-of-the-art paintings and views from best specialists, Autonomic Computing: options, Infrastructure, and Applications unearths the development made and descriptions the longer term demanding situations nonetheless dealing with this interesting and dynamic box.

Show description

Read or Download Autonomic Computing: Concepts, Infrastructure, and Applications PDF

Similar computer science books

An Introduction to Formal Languages and Automata (3rd Edition)

An creation to Formal Languages and Automata offers an exceptional presentation of the cloth that's necessary to an introductory concept of computation direction. The textual content was once designed to familiarize scholars with the principles and ideas of machine technology and to bolster the students' skill to hold out formal and rigorous mathematical argument.

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

Genetic Algorithms and Genetic Programming: smooth ideas and sensible purposes discusses algorithmic advancements within the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to major combinatorial optimization difficulties and describes constitution id utilizing HeuristicLab as a platform for set of rules development.

The booklet makes a speciality of either theoretical and empirical features. The theoretical sections discover the real and attribute homes of the fundamental GA in addition to major features of the chosen algorithmic extensions constructed by way of the authors. within the empirical components of the textual content, the authors practice fuel to 2 combinatorial optimization difficulties: the touring salesman and capacitated motor vehicle routing difficulties. to spotlight the houses of the algorithmic measures within the box of GP, they examine GP-based nonlinear constitution identity utilized to time sequence and type difficulties.

Written via middle individuals of the HeuristicLab workforce, this booklet offers a greater realizing of the elemental workflow of fuel and GP, encouraging readers to set up new bionic, problem-independent theoretical techniques. through evaluating the result of common GA and GP implementation with a number of algorithmic extensions, it additionally indicates find out how to considerably raise a possibility answer quality.

Platform Ecosystems: Aligning Architecture, Governance, and Strategy

Platform Ecosystems is a hands-on consultant that gives an entire roadmap for designing and orchestrating bright software program platform ecosystems. not like software program items which are controlled, the evolution of ecosystems and their myriad members needs to be orchestrated via a considerate alignment of structure and governance.

Classical And Quantum Computing With C++ And Java Simulations

[i\Classical and Quantum Computing[/i] offers a self-contained, systematic and accomplished creation to all of the topics and methods very important in clinical computing. the fashion and presentation are quite simply obtainable to undergraduates and graduates. lots of examples, followed via whole C++ and Java code anywhere attainable, conceal each subject.

Extra info for Autonomic Computing: Concepts, Infrastructure, and Applications

Sample text

Again, the resulting models can be checked and enhanced through VSM and risk analyses. The discussion so far has argued for a top-down approach to the development of autonomic systems because of the need to understand and document the environment in which such systems operate. This approach can also ensure that the environment itself is in an appropriate form to accommodate an autonomic system. Specifically, this means that the environment should be organized as a viable system, sharing many of the properties expected of the autonomic computing system that it hosts.

13 This information can be used to validate installations (such as conducting the necessary dependency checks and downloading required patches or software prior to installation), support dynamic changes, and enable high availability. These are clearly the first steps in creating a uniform approach that enables the implementation of self-managing autonomic behavior across heterogeneous systems. Other standards currently in development include: • The specification of symptoms (patterns of events) in a common format for use by autonomic managers in problem determination and self-healing activities.

For organisms, S1 to S3 are automatic. With autonomic computing, the goal is to develop systems that support all of these activities to some extent. Further information on the use of VSM to assess SSM models may be found in [8]. 4 A Systems-oriented autonomic design process. Yet another way to validate and refine a conceptual model in a way that is sympathetic to autonomic computing is through risk analysis [13] [14]. Although some risks have already been identified in the environmental constraints in the root definition, there are many more potential problems to consider.

Download PDF sample

Rated 4.78 of 5 – based on 24 votes