Modelling resilient collaborative multi-agent systems
Multi-agent systems constitute a wide class of decentralised systems. Their functions are usually carried out by collaborative activities of agents. To ensure resilience of multi-agent systems, we should endow them with a capability to dynamically ...
A conceptual framework for resilience: fundamental definitions, strategies and metrics
The resilience system property has become more and more relevant, mainly because of the increasing dependance on a rapidly growing number of software-intensive, complex, socio-technical systems, which are facing uncertainty about changes they are ...
A framework for Model-Driven Engineering of resilient software-controlled systems
Emergent paradigms of Industry 4.0 and Industrial Internet of Things expect cyber-physical systems to reliably provide services overcoming disruptions in operative conditions and adapting to changes in architectural and functional requirements. In ...
Game theoretic approach for bandwidth sharing in future generation networks
With the advent of 4G LTE networks, the demand for bandwidth has rapidly increased among users of mobile devices, especially handheld smartphones. Consequently, the 4G data plans offered by mobile network operators have become expensive in many ...
SADM-SDNC: security anomaly detection and mitigation in software-defined networking using C-support vector classification
The inherent features of software-defined networking (SDN) architecture revolutionize traditional network infrastructure and provide the opportunity for integrated and centralized network monitoring. One of the shortcomings of SDNs is related to ...
AwARE: a framework for adaptive recommendation of educational resources
- Guilherme Medeiros Machado,
- Vinicius Maran,
- Gabriel Machado Lunardi,
- Leandro Krug Wives,
- José Palazzo Moreira de Oliveira
Recommender systems appeared in the early 90s to help users deal with cognitive overload brought by the internet. From there to now, such systems have assumed many other roles like help users to explore, improve decision making, or even entertain. ...
Optimal rendezvous points selection to reliably acquire data from wireless sensor networks using mobile sink
In rendezvous points (RPs) based data collection, the mobile sink (MS) visits a set of sensor nodes known as RPs for data gathering from wireless sensor networks to minimize the trajectory of MS. Existing RPs based methods are suitable for the ...
An improved firefly algorithm based on personalized step strategy
Firefly algorithm has shown good performance for solving various optimization problems. Most of the nature-inspired algorithms have the same problem which can easily trap in local optimal. To overcome this defect, a novel personalized step ...
