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E-raamat: Autonomic Communication

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  • Ilmumisaeg: 23-Sep-2009
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9780387097534
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Autonomic CommunicationSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 23-Sep-2009
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9780387097534
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New paradigms for communication/networking systems are needed in order to tackle the emerging issues such as heterogeneity, complexity and management of evolvable infrastructures. In order to realize such advanced systems, approaches should become task- and knowledge-driven, enabling a service-oriented, requirement, and trust-driven development of communication networks. The networking and seamless integration of concepts, technologies and devices in a dynamically changing environment poses many challenges to the research community, including interoperability, programmability, management, openness, reliability, performance, context awareness, intelligence, autonomy, security, privacy, safety, and semantics.



This edited volume explores the challenges of technologies to realize the vision where devices and applications seamlessly interconnect, intelligently cooperate, and autonomously manage themselves, and as a result, the borders of virtual and real world vanish or become significantly blurred.
Part I Autonomic Communication Infrastructure
Bio-inspired Autonomic Structures: a middleware for Telecommunications Ecosystems
3(28)
Antonio Manzalini
Roberto Minerva
Corrado Moiso
Introduction
4(2)
State of Art
6(4)
Autonomic Frameworks
6(3)
Interaction Algorithms
9(1)
Bio-inpired Autonomic Structures
10(8)
Concept of Autonomic Structures
11(1)
BAS middleware
12(2)
Data Components interactions: primitives
14(1)
Components interactions: mechanisms and algorithms
15(3)
Engineer self-organization
18(5)
Game Theory for cross-layer design
20(2)
Auctions for optimized resource allocation
22(1)
Application scenarios
23(4)
Self-Management for Telecommunications Networks
23(1)
Cloud Computing
24(1)
Home Networking
25(2)
Conclusions
27(1)
References
28(3)
Social-based autonomic routing in opportunistic networks
31(38)
Chiara Boldrini
Marco Conti
Andrea Passarella
Introduction
32(1)
The opportunistic networking concept and its applications
33(3)
Opportunistic networking case studies and applications
35(1)
Social-based mobility
36(7)
CMM and HCMM: functional description
37(3)
HCMM vs. CMM: Controlling Node Positions
40(3)
Routing in opportunistic networks
43(5)
Context-oblivious routing
43(1)
Partially context-aware routing
44(2)
Fully context-aware routing
46(1)
The History-based Opportunistic Routing protocol
47(1)
Performance of opportunistic routing approaches under social mobility patterns
48(14)
Performance evaluation strategy
48(2)
Impact of collective groups' movements (reconfigurations)
50(4)
Impact of User Sociability
54(5)
Breaking Closed Groups
59(3)
Conclusions
62(3)
References
65(4)
A Collaborative Knowledge Plane for Autonomic Networks
69(24)
Maissa Mbaye
Francine Krief
Introduction
69(2)
Autonomic Networking
71(2)
Basic concepts
71(1)
Related Work
71(2)
Collaborative knowledge plane architecture
73(5)
Architecture overview
73(1)
Basic Concepts
74(2)
Knowledge plane building blocks
76(2)
Self-adaptation loop
78(5)
Machine learning algorithm for self-adaptation
78(1)
Study Case: self-adaptation of a DiffServ router
79(4)
Collaborative loop
83(7)
Situated View and Basic concepts
83(3)
Situated Knowledge sharing algorithm
86(2)
Performance and guarantees
88(2)
Conclusion
90(1)
References
90(3)
A Rate Feedback Predictive Control Scheme Based on Neural Network and Control Theory for Autonomic Communication
93(18)
Naixue Xiong
Athanasios V. Vasilakos
Laurence T. Yang
Fei Long
Lei Shu
Yingshu Li
Introduction
94(1)
Congestion Control Model
95(3)
The Predictive Control Model of a Bottleneck Buffer
95(3)
The Predictive Control Technique
98(1)
The BP Neural Network Architecture
98(1)
Multi-step Neural Predictive Technique
98(1)
The Simulation Results
99(6)
Conclusion
105(1)
References
106(5)
Part II Autonomic Communication Services and Middleware
Hovering Information --- Self-Organizing Information that Finds its Own Storage
111(36)
Alfredo A. Villalba Castro
Giovanna Di Marzo Serugendo
Dimitri Konstantas
Introduction
111(2)
Applications
113(3)
Hovering Information Concept
116(7)
Coordinates, Distances and Areas
116(1)
Mobile Nodes
116(2)
Hovering Information
118(2)
Notations
120(1)
Properties - Requirements
121(2)
Algorithms for Hovering Information
123(10)
Assumptions
124(1)
Safe, Risk and Relevant Areas
125(2)
Replication
127(2)
Caching
129(2)
Cleaning
131(2)
Evaluation
133(8)
Simulation Settings and Scenarios
133(1)
Metrics
134(1)
Results
135(6)
Related Works
141(2)
Conclusion
143(2)
Future Works
144(1)
References
145(2)
The CASCADAS Framework for Autonomic Communications
147(22)
Luciano Baresi
Antonio Di Ferdinando
Antonio Manzalini
Franco Zambonelli
Introduction
148(1)
Autonomic Communication Frameworks
149(2)
CASCADAS Framework
151(5)
ACE Component Model
153(3)
Semantic Self-Organization
156(2)
Situation-Awareness
158(2)
Pervasive Supervision
160(1)
Security and Self-Preservation
161(2)
Pervasive Behavioral Advertisement Scenario
163(2)
Conclusions
165(1)
References
166(3)
Autonomic Middleware for Automotive Embedded Systems
169(42)
Richard Anthony
DeJiu Chen
Martin Torngren
Detlef Scholle
Martin Sanfridson
Achim Rettberg
Tahir Naseer
Magnus Persson
Lei Feng
Introduction
169(1)
Automotive challenges and DySCAS
170(3)
Background and related work
173(2)
Middleware for distributed computer systems
173(1)
Policy-based configuration
174(1)
The DYSCAS Middleware Architecture
175(3)
The Component Model for DySCAS Middleware Services
178(7)
Policy-based configuration in the DySCAS component model
181(4)
Autonomic reconfiguration
185(9)
Task migration as an actuation mechanism
186(1)
Using policies for flexible reconfiguration mechanisms
186(1)
Algorithms and an approach for Dependability and Quality Management and Autonomic Configuration Management
186(3)
An Approach for Load Balancing
189(5)
A reference implementation of DySCAS
194(3)
Implementation of the DySCAS architecture
194(3)
A framework for modelling, designing and analysing dynamically configurable systems
197(8)
Simulation
199(1)
Safety analysis and formal verification
200(5)
Open issues and ongoing work
205(1)
Integration with a legacy statically reconfigurable platform
205(1)
Implementation on a resource-constrained platform
205(1)
Conclusions
206(1)
References
207(4)
Social Opportunistic Computing: Design for Autonomic User-Centric Systems
211(20)
Iacopo Carreras
David Tacconi
Arianna Bassoli
Introduction
211(2)
The Study
213(2)
First Phase: Understanding the Technological and User constraints
215(3)
Assessing contact opportunities of an office environment
215(2)
Assessing users expectations
217(1)
Opportunistic Content Distribution Application
218(6)
The Technological Dimension
219(3)
Evaluating User Preferences
222(2)
Phase 3: combining users and technological constraints
224(3)
Discussion
227(1)
Closing Remarks
228(1)
References
228(3)
Programming and Validation Techniques for Reliable Goal-driven Autonomic Software
231(20)
Damian Dechev
Nicolas Rouquette
Peter Pirkelbauer
Bjarne Stroustrup
Introduction
231(1)
Challenges for Mission Critical Autonomous Software
232(2)
Parallelism and Complexity
233(1)
Motivation and Contributions
233(1)
Temporal Constraint Networks
234(1)
Verification and Automatic Parallelization Framework
235(6)
The Problem of TCN Constraint Propagation
235(3)
Modeling, Formal Verification, and Automatic Parallelization
238(3)
Nonblocking Synchronization
241(3)
Practical Lock-Free Programming Techniques
242(1)
Overview of the Lock-free Operations
242(2)
Framework Application for Accelerated Testing
244(1)
Conclusion
245(1)
References
246(5)
Part III Applications to Ad-Hoc (Sensor) Networks and Pervasive Systems
Autonomic Communication in Pervasive Multimodal Multimedia Computing System
251(34)
Manolo Dulva Hina
Chakib Tadj
Amar Ramdane-Cherif
Nicole Levy
Introduction
252(1)
Related Works
253(1)
Contribution and Novel Approaches
254(1)
The Interaction Context
255(8)
Context Definition and Representation
255(1)
The Virtual Machine and the Incremental Interaction Context
256(6)
Context Storage and Dissemination
262(1)
Modalities, Media Devices and Context Suitability
263(5)
Classification of Modalities
263(1)
Classification of Media Devices
263(1)
Relationship between Modalities and Media Devices
264(1)
Measuring the Context Suitability of a Modality
264(1)
Optimal Modalities and Media Devices' Priority Rankings
265(2)
Rules for Priority Ranking of Media Devices
267(1)
Context Learning and Adaptation
268(12)
Specimen Interaction Context
268(3)
Scenarios and Case-Based Reasoning with Supervised Learning
271(5)
Assigning a Scenario's MDPT
276(1)
Finding Replacement to a Missing or Failed Device
277(1)
Media Devices' Priority Re-ranking due to a Newly-Installed Device
278(1)
Our Pervasive Multimodal Multimedia Computing System
279(1)
Conclusion
280(1)
References
281(4)
Self-healing for Autonomic Pervasive Computing
285(24)
Shameem Ahmed
Sheikh I. Ahamed
Moushumi Sharmin
Chowdhury S. Hasan
Introduction
285(2)
Motivation
287(1)
Characteristics of Self-healing Model
288(1)
Design Overview
288(4)
Self-healing System of Autonomic Pervasive Computing
288(2)
Classification of Fault
290(1)
Fault Detection
291(1)
Fault Notification
292(1)
Faulty Device Isolation
292(1)
Self Healing in Autonomic Pervasive Computing
292(5)
Fault Detection
292(2)
Fault Notification
294(1)
Faulty Device Isolation
295(1)
An Illustrative Example
295(2)
Attributes of Our Proposed Model
297(1)
Efficiency
297(1)
Transparency
298(1)
Infrastructure less
298(1)
Non degradable performance
298(1)
Related Work
298(2)
Evaluation
300(4)
Prototype Implementation
301(2)
Performance Measurement
303(1)
Application that Uses Self-healing Model
304(1)
Conclusion and Future Work
304(1)
References
305(4)
Map-based Design for Autonomic Wireless Sensor Networks
309(18)
Abdelmajid Khelil
Faisal Karim Shaikh
Piotr Szczytowski
Brahim Ayari
Neeraj Suri
Introduction and
Chapter Structure
309(2)
Models and Requirements
311(2)
Models for Sensing the Real World
311(1)
System Model
312(1)
Requirements on the MWM
312(1)
The Map-based World Model
313(4)
MWM Definition
313(1)
MWM Architecture
314(1)
MWM Management
315(1)
Region and Map Construction Techniques
316(1)
MWM-based WSN Design
317(4)
Enhancement of WSN Autonomicity
318(1)
Design Methodology
319(1)
Case Study: Designing a Network Partitioning Prediction Technique
319(2)
MWM Implementation in OMNeT++
321(2)
MWM Implementation Architecture
321(1)
Uses of Simulator Extension
321(2)
Related Work
323(1)
Conclusions
324(1)
References
324(3)
An Efficient, Scalable and Robust P2P Overlay for Autonomic Communication
327(24)
Deng Li
Hui Liu
Athanasios Vasilakos
Introduction
328(1)
Background on P2P Overlay Networks
328(1)
Challenges and Requirements in Supporting P2P for AC
329(2)
Information reflection and collection
329(1)
Lack of Centralized Control
330(1)
Non-Cooperation
330(1)
The Description of ESR
331(5)
The Formation of ESR
331(2)
The Soure Ranking
333(1)
The selection and performance of ICs
334(2)
The maintenance of ESR
336(4)
Two rules for maintenance
337(1)
Node joining
338(1)
Node leaving
339(1)
Evaluation and experimental results
340(8)
Modeling and methodology
340(2)
Scalability
342(1)
Query success rate
343(1)
Query messages and hops
343(1)
Cost and load balancing
344(2)
Fault-tolerance and robustness
346(2)
Conclusion and future directions
348(1)
References
348(3)
Autonomic and Coevolutionary Sensor Networking
351(22)
Pruet Boonma
Junichi Suzuki
Introduction
351(2)
BiSNET/e Agents
353(4)
Agent Structure and Behaviors
353(2)
Behavior Sequence for DAs
355(1)
Behavior Sequence for EAs
356(1)
Agent Behavior Policy
357(1)
MONSOON
357(4)
Operational Objectives
358(1)
Elite Selection
359(1)
Genetic Operations
360(1)
Simulation Results
361(7)
Data Collection Application
363(1)
Event Detection Application
364(2)
Hybrid Application
366(1)
Adaptive Mutation
366(1)
Power Consumption
367(1)
Memory Footprint
368(1)
Related Work
368(1)
Conclusion
369(1)
References
370(3)
Index 373
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