Adaptive Agent-Based Self-Organization for Robust Hierarchical Topologies

Pournaras, Evangelos; Warnier, Martijn; Brazier, Frances M. T.

doi:10.1109/icais.2009.21

Cited by 11 publications

(17 citation statements)

References 16 publications

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“…AETOS makes it possible to create self-organised tree topologies that are proactively resilient to failures, and reactively self-heal [9] the structure built. AETOS [30] builds and maintains application-independent robust tree topologies in dynamic distributed environments.…”

Section: Introductionmentioning

confidence: 99%

Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents

Pournaras

Warnier

Brazier

2010

Complex Intelligent Systems and Their Applications

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Hierarchical structures are often deployed in large scale distributed systems to structure communication. Building and maintaining such structures in dynamic environments is challenging. Self-organisation is the approach taken in this chapter. AETOS, the Adaptive Epidemic Tree Overlay Service, provides tree overlays on demand. AETOS uses three local agents to this purpose (i) to translate application requirements to self-organisation requirements, (ii) to self-organise nodes into optimised tree topologies based on these requirements, (iii) to control bootstrapping and termination of self-organisation. The evaluation of AETOS in different simulation settings shows that it provides high connectivity in tree overlays optimised according to application requirements.

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Section: Introductionmentioning

confidence: 99%

Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents

Pournaras

Warnier

Brazier

2010

Complex Intelligent Systems and Their Applications

Self Cite

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“…Taking into account the use of software agents in P2P video streaming systems, we encounter very few studies in this young research field. Pournaras et al [4] propose a model to build robust tree topologies. In tree-based topologies, node departure or failure can cause serious problems in the system.…”

Section: B Simulation Resultsmentioning

confidence: 99%

“…Within this context, research on the use of software agents in video streaming systems has been recently emerged [4][5][6][7]. However parent selection and network awareness are not addressed properly in these leading studies.…”

Section: Introductionmentioning

confidence: 99%

Engineering a multi-agent system for peer-to-peer video streaming

et al. 2013

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Research on the use of software agents in P2P video streaming systems has recently emerged in order to meet the requirements such as time constraints, minimizing delay and efficient utilization of network resources. However parent selection and network awareness are not addressed properly in these leading studies. In order to fill this gap, we introduce the design and implementation of a Multi-agent System (MAS) for P2P video streaming in this paper. The construction of the MAS by applying a well-defined agent-oriented software engineering methodology is discussed. The internal structure of each agent in the proposed MAS is based on the well-known Belief-Desire-Intention (BDI) architecture. Experimental results show that the proposed MAS succeeds the related parent selection and promotes the system execution. BDI-based MAS design given in this paper can guide those researchers who aim to implement autonomous mesh-based P2P video streaming systems. Keywords-agent; multi-agent system (MAS); belief-desireintention (BDI); peer-to-peer (P2P); video streaming.I.

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“…The CPs can be organized in a virtual tree overlay [13] and work together to meet this goal, for example using the approach outlined in [12,14].…”

Section: Rulesmentioning

confidence: 99%

Adaptive Knowledge Representation for a Self-Managing Home Energy Usage System

Warnier

Sinderen²,

Brazier³

2010

Proceedings of the 4th International Workshop on Enterprise Systems and Technology

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Abstract. Automated and efficient energy management has many potential benefits for producers and consumers of energy, and the environment. Focusing on energy management on the consumer side, this paper considers two forms of energy management: minimizing energy usage in single households and avoiding peaks in energy consumption in a larger area. A combination of context aware and autonomic computing is used to describe an automated and self-managing system that, by analyzing context information and adapting to its environment, can learn the behavior of household occupants. Based on this information, together with user defined policies, energy usage is lowered by selectively powering down devices. By powering specific thermostatically controlled devices on or off energy can also be redistributed over time. This is utilized to avoid global peaks in energy usage. The self-managing system reasons about context and other information and acts when required. This information is the knowledge with which it can adaptively reason, about to take to ensure efficient energy usage. This paper explores the requirements that hold for representing this knowledge and how the knowledge base can continuously and adaptively be updated: to be self-managing.

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Adaptive Agent-Based Self-Organization for Robust Hierarchical Topologies

Cited by 11 publications

References 16 publications

Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents

Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents

Engineering a multi-agent system for peer-to-peer video streaming

Adaptive Knowledge Representation for a Self-Managing Home Energy Usage System

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