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Connected vehicles will likely use hybrid communication networks. Presumably a licence-free radio access technology (RAT) will be used for vehicle-to-vehicle (V2V) contact, complemented by a cellular network, with an associated usage cost. In previous work, we developed a self-adaptive clustering algorithm for reducing cellular access costs, while ensuring that clustering overheads do not saturate...
Communities and societies are known to achieve key benefits, such as trade growth, risk mitigation and resource sustainability [1], by following and observing conventionally-agreed and mutable rules (e.g., norms and laws). We focus on "democratic" societies-where citizens can contribute to changes in these governing regulations (directly or indirectly), which then apply equally to all [2],...
This paper addresses a fundamental dilemma in the design of self-governing socio-technical systems which allow potentially unrestricted self-modification of a set of conventional rules. On one hand, the system must be sufficiently unrestricted (resilient, flexible), to enable a group of people with a shared set of congruent values to achieve their joint purpose(s) in collective actions situations...
We observe that SmartGrids are an example of a crossover point where cyber-physical systems meet socio-technical systems. However, control of this crossover point, in the form of a peer-to-peer platform, is a contentious issue. We argue that if the platform is ‘closed’ it can lead to an asymmetry in the distribution of power and information that can inhibit successful collective action. Instead, an...
Ground-breaking innovations in transport, such as autonomous vehicles, the European Local Dynamic Map (LDM) and related on-line services heavily depend on reliable vehicular connectivity. In the most likely scenario, hybrid vehicular networks will use the IEEE 802.11p protocol for vehicle-to-vehicle (V2V) communication, and the cellular network (e.g. LTE or 5G) as a gateway to remote servers. Both...
The saturation of the physical environment with sensors, the proliferation of personal mobile computing, and the prominence ofArtificial Intelligence in (so-called) 'smart' objects has created new opportunities for the development of socio-technical systems. We are particularly interested in the convergence of people and computational processes (agents) in the creation of digital communities for sustainabilityand...
System integration from sub-systems has always been a major engineering problem, which is progressively exacerbated by (1) sub-systems becoming more diverse, self-* and autonomous (2) systems operating in open environments, with third-party sub-systems joining and leaving unpredictably, (3) system (self-)integration being an ongoing process, increasingly needed at runtime. The fact that this problem...
Mobile ad-hoc sensor systems are employed increasingly for distributed tasks in unreliable conditions, such as terrain exploration and measuring. Here, self-organising solutions can help ensure reliability, availability and scalability, while making use of unreliable components (or agents) with limited resources. These enable agents to act independently, and to exchange and combine their partial solutions...
Large-scale self-organised systems, such as distributed community energy systems, have called for coordination approaches that are able to deal with issues such as heterogeneity, inter-dependence and dynamic variability. Holonic institutions have been proposed as an approach to converging the structuration required for multi-scale, multi-criteria optimisation in nested enterprises with the formal...
It has been argued that the value of communities is that they can solve certain types of collective action problems which are resistant to purely market-based or policy-based solutions. Such problems increasingly arise in a data-driven information economy, the (so-called) sharing economy, and in economies of scarcity, where the added-value of information, reciprocity or other pro-social behaviour...
The focus of this tutorial is to provide a synopsis ofself-managing computing also known as AutonomicComputing. In doing so, we will introduce the techniques thatenable computer systems to manage themselves so as tominimise the need for human input. This will also discuss howself-managing systems can address some of the issues resultingfrom the ever-increasing complexity of software administrationand...
Designing the control infrastructure of future ``smart'' power grids is a challenging task. Such grids will integrate a wide variety of heterogeneous producers and consumers that are unpredictable and operate at various scales. Smart grids will need to control these in order to attain global objectives at the macro-level, while also taking into account local objectives and private interests at the...
Distributed autonomic management systems following contradictory objectives raise difficult design challenges. We proposed a generic architecture to address this concern and exemplified it via manager integration solutions for multi-objective micro-grids (low-tension networks of the size of a district). This demo showcases some of these sample implementations via the MisTiGriD simulation platform...
Self-organisation is a promising solution for building complicated, large-scale software systems that must meet stringent adaptability and survivability requirements. At the same time, controlling self-organising software to ensure global system properties and functions is a difficult problem. This paper proposes a solution that uses architectural templates, or archetypes, replicated across a set...
Modern applications are increasingly dynamic and heterogeneous and their lifecycle is more and more governed by autonomic managers that are also getting more and more complex. The purpose of this paper is to present a service-oriented framework that facilitates the development and management of dynamically extensible autonomic managers. More precisely, we propose an architecture based on the opportunistic...
Imagine a distributed mediation application consisting of hundreds of thousands of interconnected nodes, collecting data from millions of pervasive sensors, processing data and delivering it to a myriad of business services. This application takes the form of an acyclic, directed graph. Its shape must continually adapt in response to changes in sensor availability, network layout and business objectives...
In this paper, we propose an architecture for building adaptable, extensible and introspectable autonomic managers. In that purpose, we introduce the concept of administration tasks: very specialized components that are opportunistically assembled into autonomic control loops. We discussed particularly the possibility of monitoring and modifying the managers' behaviours at runtime. Our architecture...
The important, ambitious goals of autonomic management applications require complex, adaptable reasoning capabilities that prove extremely difficult to conceive and implement. An increasing number of Autonomic Computing projects have provided partial solutions and studies that brought significant contributions to the understanding of this domain. At the same time, little support is currently available...
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