Sentence examples for autonomic context from inspiring English sources

Peizhao hu et al. [21] proposed a model-based autonomic context management system for pervasive computing that dynamically configured and reconfigured its context information by gathering and preprocessing functionality, which provided fault tolerant provisioning of context information.

In some complex domains (e.g., ubiquitous computing, autonomic systems and context-aware computing), it is difficult to foresee all functionalities and variabilities a specific SPL may require.

The contribution of this article is to provide a tool-supported framework to guide autonomic adjustments of context-aware service compositions using models at runtime.

According to a cognitive-developmental model of emotional experience proposed, alexithymia is a deficit in the cognitive processing of emotion that can be seen as an impairment in the ability to consciously experience feeling in the context of autonomic activation indicate of emotional arousal.

A typical autonomic system consists of a context, an autonomic element, and a computing environment [20 22].

We have modified this by using the template pattern to introduce the concrete subclasses to represent the different workload patterns and to implement the workload pattern context as an autonomic element.

In this kind of systems, the decision to ensure the most suitable autonomic application's adaptation according to context is very important.

Within the context of cloud computing autonomic computing can be applied to and reasoned about both at the infrastructure level and at the service level.

Watching the acting performance increased emotional arousal and changed its valence again (from less positive/sad to transcendent), in the context of continued high autonomic arousal.

These results implicate axonal degeneration as an important source of signals that trigger the development of autonomic dysreflexia and are discussed in the context of mouse genetics, interstrain differences and possible molecular mechanisms underlying autonomic dysreflexia after spinal cord injury.

The presented cloud auto-scaling architecture consists of the cloud workload context, the cloud auto scaling autonomic system, and the cloud computing scaling decisions.