A survey of autonomic communications

By S. Dobson, S. Denazis, Antonio Fernández, D. Gaïti, E. Gelenbe, F. Massacci, P. Nixon, F. Saffre, N. Schmidt, Franco Zambonelli. TAAS, 2006

729 citations recorded by the source corpus.

Autonomic communications seek to improve the ability of network and services to cope with unpredicted change, including changes in topology, load, task, the physical and logical characteristics of the networks that can be accessed, and so forth. Broad-ranging autonomic solutions require designers to account for a range of end-to-end issues affecting programming models, network and contextual modeling and reasoning, decentralised algorithms, trust acquisition and maintenance---issues whose solutions may draw on approaches and results from a surprisingly broad range of disciplines. We survey the current state of autonomic communications research and identify significant emerging trends and techniques.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/dfa2c55f32f60f11706d605789ba32894ce666b5

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Citations in the corpus

Self-adaptive software: Landscape and research challenges (2009, background): “in autonomic systems [Dobson et al. 2006].”
On Patterns for Decentralized Control in Self-Adaptive Systems (2010, background): “Feedback control loops have been identified as crucial elements in realizing self-adaptation of software systems [46,28,11].”
Energy-Efficient Cloud Computing (2010, background): “A major challenge is therefore to explore the relations among system components and the tradeoffs that can result in optimal balance between performance, QoS, and energy consumption and include self-aware runtime adaptation [40][48][49][50].”
Engineering Self-Adaptive Systems through Feedback Loops (2009, background): “This generic model of a feedback loop, often referred to as the autonomic control loop as depicted in Figure 1 [21], focuses on the activities that realize feedback.”
Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence (2012, neutral): “To guarantee the cooperation among these devices and their ability to adapt to changing scenarios, a well recognized research challenge relates to the need for enforcing autonomic, self-managing and self-adaptive behavior, both at the level of the infrastructure and that of its services [12].”
System-of-Systems Engineering Management: A Review of Modern History and a Path Forward (2008, methodology): “, [81] proposed to use “Autonomic control loop” method to effectively cope with the ever changing environment in the network communication context.”
A Survey on Intent-Based Networking (2023, methodology): “Later on, alternative methods were investigated including game theory and economic models that were able to capture the interaction between different network control levels [25].”
A Survey of Self Organisation in Future Cellular Networks (2013, background): “Compared to wireless cellular networks, work on self organisation in wireless sensor networks, ad hoc networks and autonomic computing networks is more mature and subsequently extensive surveys on these regimes has been published in [3], [4] and [5] respectively.”
Internet of things: Vision, applications and research challenges (2012, background): “…dynamism in the network (as smart objects can move and create ad hoc connections with nearby ones following unpredictable patterns), the quest for inclusion of self-management and autonomic capabilities is expected to become a major driver in the development of a set of enabling solutions [13,14].”
Software Engineering for Self-Adaptive Systems: A Research Roadmap (2009, background): “The generic model of a control loop based on [33] (cf.”
Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines (2010, background): “[148,149,101] is necessary for network resilience that is highly reactive with minimal human intervention.”