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Positive feedback and a consensus-building procedure are the key elements of a self-organized decision-making mechanism that allows a population of agents to collectively determine which of two actions is the fastest to execute. Such a mechanism can be seen as a collective learning algorithm because even though individual agents do not directly compare the available alternatives, the population is...
The design and implementation of distributed, self-organising and self-adaptive systems are challenging. This article details our experience gained during the development of self-organising assembly systems, which provide solutions for user-friendly agile manufacturing systems. More specifically, we describe how both a development method for self-organising systems, called MetaSelf, and the above...
Server consolidation through virtualization is becoming an effective way to save power and space in enterprise data centers. However, it also brings additional operational risks for the consolidated system because the impacts of hardware failures, human errors, and security breaches can be vastly magnified in that densely packed environment. In order to mitigate the above issues, this paper proposes...
We present the Colored Power algorithm, which is designed to provide collaborative electricity demand shaping for residential and small-business customers. Demand shaping for this market sector is an important and challenging problem, since the vast number of such customers collectively account for a large fraction of total electricity consumption, yet each individual's consumption is small. Under...
Peer-to-peer systems are distributed systems, the functioning and performance of which implicitly requires coordination and cooperation between peers. The problem has a lot in common with the creation of public goods in social and economic systems. Therefore, we will study, what are mechanisms, which support spontaneous cooperation and the development of commonly shared behaviors ("norms")...
Natural systems often exhibit, at a macro level, a tendency to order that emerges from simple and local interactions between the system components. This idea that the whole can denote a consistent behavior that is more than the sum of individual components has inspired the design and development of many artificial systems. Recently, with the pervasiveness of IT in the automation domain the application...
Sensor networks (SN) have arisen as one of the most promising monitoring technologies. The recent emergence of small and inexpensive sensors ease the development and proliferation of this kind of networks in a wide range of actual-world applications.1 So far the majority of SN deployments have assumed that sensors can be configured prior to their deployment because the area and events to monitor are...
To keep pace with constantly changing markets, many companies are seeking strategic partnerships. In this paper, we assume that a company can electronically provide a profile of the product or service it has to offer. This profile is described in such a way that potential partners can assess the fitness of the company for eventually teaming up. We concentrate on the fully decentralized optimal formation...
Load-Balancing is a significant problem in heterogeneous distributed systems. Nowadays we face an extreme growth of computer systems and their complexities requiring advanced intelligent solutions for load-balancing that lead to autonomic self-organizing infrastructures. There is still a need to prove that real use cases can benefit from self-* approaches. We developed a pattern, called SILBA, for...
Designing and organising large numbers of autonomic resources into a coherent system is a difficult endeavour. It necessitates handling complex interactions among dynamic, heterogeneous components, autonomic managers and human policies. Several architectural models have been proposed for organising these interactions. This paper focuses on a decentralised approach, while also considering two other...
In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to internal and external changes. In life science, biological cells are power entities able to adapt to the (unpredictable) situations they incur in, in a complete decentralized fashion. We are working on a new architectural paradigm for self-adaptive software systems inspired by the adaptation mechanism...
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