Search Results

In this article, we propose and implement a distributed autonomic manager that maintains service level agreements (SLA) for each application scenario. The proposed autonomic manager supports SLAs by configuring the bandwidth ratios for each application ...

Smart systems have become key solutions for many application areas including autonomous farming. The trend we can see now in the smart systems is that they shift from single isolated autonomic and self-adaptive components to larger ecosystems of heavily ...

Industry 4.0 tries to digitalize the production process further. The digitalization is achieved by connecting different entities (machines, worker) to data-exchange, which needs to be dynamic and to adapt to different changing situations and members in ...

Collective self-adaptive systems (CSAS) are distributed and interconnected systems composed of multiple agents that can perform complex tasks such as environmental data collection, search and rescue operations, and discovery of natural resources. By ...

This paper describes the design of variable adaptation and recovery connectors used in the software adaptation of dynamic software product lines. The approach integrates software product line and feature modelling concepts with autonomic properties of ...

The ability to incorporate intelligence in even small devices and to make use of contextual information from widely deployed sensors has already begun to change management paradigms. As edge computing and IoT become more prevalent, systems will ...

Smart cyber-physical systems (sCPS) is a growing research field focused on scenarios such as smart cities or smart mobility, where autonomous components are deployed in a physical environment, and are expected to cooperate with one another, as well as ...

Recently, several ensemble-based component models have been created to address the dynamicity and complexity of designing cyber-physical systems. Experience in applying these models to actual case studies has shown that there are still scenarios in ...

This talk will provide an overview of future directions in Big Data and Big Computing, as driven by the DDDAS paradigm. In DDDAS,the computation and instrumentation aspects of an application system are integrated in a dynamic feed-back control loop. ...

Cloud computing offers the elasticity features by dynamically resizing the infrastructure in response to changes in workload demands to meet performance guarantees and minimize costs. In the last decade, a large body of work has been done in the area of ...

Monitoring an autonomic system at runtime, which typically contains a large number of nodes operating in highly dynamic and open-ended environments, is very challenging for software architects. Solid software engineering methods and tools to support ...

AbstractModern urban highways are under the influence of increased traffic demand and cannot fulfill the desired level of service anymore. In most of the cases there is no space available for any infrastructure building. Solutions from the domain of ...

A data-centric joint adaptive sampling and sleep scheduling solution, SILENCE, for autonomic sensor-based systems that monitor and reconstruct physical or environmental phenomena is proposed. Adaptive sampling and sleep scheduling can help realize the ...

We present here a system architecture and its underlying mechanisms for building autonomically scalable and resilient services on cooperatively shared computing platforms. Specifically, our focus is on utilizing computing platforms exhibiting the ...

The recent increase in the ubiquity and connectivity of computing devices allows forming large-scale distributed systems that respond to and influence activities in the real world (typically called smart Cyber-Physical Systems -- sCPS). Examples of such ...

Self-adaptive (or autonomic) systems incorporate complex software components that act as controllers of a target system by executing actions through effectors, based on information monitored by probes. Despite the growing importance and criticality of ...

Redundancy and diversity has been shown to be an effective approach for ensuring service continuity (an important requirement for autonomic systems) despite the presence of anomalies due to attacks or faults. In this paper, we focus on operating system (...

Component ensembles are a promising way of building self-aware autonomic adaptive systems. This approach has been promoted by the EU project ASCENS, which develops the core idea of ensembles by providing rigorous semantics as well as models and methods ...

Scientific computing is becoming increasingly data-intensive, and more high-impact discoveries are relying on efficient processing of big scientific data. The popular MapReduce framework such as Hadoop offers an alternative to conventional solutions (...

Using autonomy requirements engineering, software developers can determine what autonomic features to develop for a particular system as well as what artifacts that process might generate.