ResiliNets Architecture

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Definitions

Definitions and terminology that provide the foundation for the ResiliNets Architecture

ResiliNets Axioms, Strategy, and Principles

ResiliNets Axioms

IUER: inevitable, understand, expect, respond

A0. Inevitability of Faults

A1. Understand Normal Operations

A2. Expect Adverse Events and Conditions

A3. Respond to the Adverse Events and Conditions

ResiliNets Strategy

D²R²+DR: defend, detect, remediate, recover, diagnose, refine

S1. Defend

S2. Detect

S3. Remediate

S4. Recover

S5. Diagnose

S6. Refine

ResiliNets Principles

Principle Relationships Spreadsheet

Prerequisites

P1. Service Requirements determine the need for network resilience

P2. Normal Behaviour must be specified, verified, and refined through monitoring to understand normal operations

P3. Threat and Challenge Models are essential to understanding and detecting potential adverse events and conditions

P4. Metrics are needed to measure and engineer network resilience

P5. Heterogeneity in mechanism, trust, and policy among different network realms is a reality of emerging multi-provider networks; resilient mechanisms must admit this heterogeneity.

Tradeoffs

P6. Resource Tradeoffs determine the deployment of resilience mechanisms

P7. Complexity of the network in general, and resilience in particular, must be reduced to maximise overall resilience

P8. State Management is an essential aspect of networks in general, and resilience mechanisms in particular; the alternatives of how to distribute and manage this state are critical to resilience

Enablers

P9. Security and Self-Protection is an essential property of entities to defend against challenges in a resilient network

P10. Connectivity and Association among communicating entities should be maintained when possible, but information flow should still take place even when a stable end-to-end path does not exit

P11. Redundancy in space and time increases resilience against faults and some challenges

P12. Diversity in space, time, medium, and mechanism increases resilience against challenges to particular choices

P13. Multilevel Resilience is needed with respect to protocol layer, protocol plane, and hierarchical network organisation

P14. Context Awareness is necessary for network components to operate autonomously to detect challenges

P15. Translucency is needed to control the degree of abstraction vs. the visibility between levels

Behaviour

P16. Self-Organising and Autonomic behaviour is necessary for network resilience that is highly reactive with minimal human intervention

P17. Adaptability to the network environment is essential for a node in a resilient network to detect, remediate, and recover from challenges

P18. Evolvability is needed to refine future behaviour to improve the response to challenges, as well as for the network architecture and protocols to respond to emerging threats and application demands

Challenges and Failures

Challenges
Service Description
Resilinets Failure Classes (to be replaced by Failure Classification somewhen in the future)

Scenarios

Resilinets Scenario 1

ResiliNets Mechanisms

Publications

James P.G. Sterbenz, Egemen K. Çetinkaya, Mahmood A. Hameed, Abdul Jabbar, and Justin P. Rohrer,
“Modelling and Analysis of Network Resilience (invited paper)”,
The Third IEEE International Conference on Communication Systems and Networks (COMSNETS),
Bangalore, India, January 2011, (to appear)
BibTeX

Keywords: Future Internet architecture, resilience, survivability, performability, dependability, topology, population, attack, disaster, challenge, metrics, generation, simulation, modelling

Abstract: “As the Internet becomes increasingly important to all aspects of society, the consequences of disruption become increasingly severe. Thus it is critical to increase the resilience and survivability of the future network. We define resilience as the ability of the network to provide desired service even when challenged by attacks, large-scale disasters, and other failures. This paper describes a comprehensive methodology to evaluate network resilience using a combination of analytical and simulation techniques with the goal of improving the resilience and survivability of the Future Internet.”

James P.G. Sterbenz, David Hutchison, Egemen Çetinkaya, Abdul Jabbar, Justin P. Rohrer, Marcus Schöller, Paul Smith,
“Resilience and Survivability in Communication Networks: Strategies, Principles, and Survey of Disciplines”,
Computer Networks: Special Issue on Resilient and Survivable Networks (COMNET),
vol.54 iss.8, June 2010, pp.1245–1265
BibTeX

Keywords: communication network and Future Internet resilience, fault tolerance, survivability, disruption tolerance, dependability, reliability, availability, security, performability, critical infrastructure, defence, defense, detection, remediation, recovery, restoration, diagnosis, refinement, metrics

Abstract: “The Internet has become essential to all aspects of modern life, and thus the consequences of network disruption have become increasingly severe. It is widely recognised that the Internet is not sufficiently resilient, survivable, and dependable, and that significant research, development, and engineering is necessary to improve the situation. This paper provides an architectural framework for resilience and survivability in communication networks and provides a survey of the disciplines that resilience encompasses, along with significant past failures of the network infrastructure. A resilience strategy is presented to defend against, detect, and remediate challenges, a set of principles for designing resilient networks is presented, and techniques are described to analyse network resilience.”