The inefficiency of integration processes as an abstraction of workflow-based integration tasks is often reasoned by low resource utilization and significant waiting times for external systems. Due to the increasing use of integration processes within IT infrastructures, the throughput optimization has high influence on the overall performance of such an infrastructure. In the area of computational engineering, low resource utilization is addressed with vectorization techniques. In this paper, we introduce the concept of vectorization in the context of integration processes in order to achieve a higher degree of parallelism. Here, transactional behavior and serialized execution must be ensured.In conclusion of our evaluation, the message throughput can be significantly increased.

Due to the changing scope of data management towards the management of heterogeneous and distributed systems and applications, integration processes gain in importance. This is particularly true for those processes used as abstractions of workflow-based integration tasks; these are widely applied in practice. In such scenarios, a typical IT infrastructure comprises multiple integration systems with overlapping functionalities. The major problems in this area are high development effort, low portability and inefficiency. Therefore, in this paper, we introduce the vision of invisible deployment that addresses the virtualization of multiple, heterogeneous, physical integration systems into a single logical integration system. This vision comprises several challenging issues in the fields of deployment aspects as well as runtime aspects. Here, we describe those challenges, discuss possible solutions and present a detailed system architecture for that approach. As a result, the development effort can be reduced and the portability as well as the performance can be improved significantly.

No description available.

An efficient integration of sensory and motor processes is crucial to goal-directed behavior. Despite this high relevance, and although cognitive theories provide clear conceptual frameworks, the neurobiological basis of these processes remains insufficiently understood. In a double-blind, randomized placebo-controlled pharmacological study, we examine the relevance of catecholamines for perception-motor integration processes. Using EEG data, we perform an in-depth analysis of the underlying neurophysiological mechanisms, focusing on sensorimotor integration processes during response inhibition. We show that the catecholaminergic system affects sensorimotor integration during response inhibition by modulating the stability of the representational content. Importantly, catecholamine levels do not affect the stability of all aspects of information processing during sensorimotor integration, but rather—as suggested by cognitive theory—of specific codes in the neurophysiological signal. Particularly fronto-parietal cortical regions are associated with the identified mechanisms. The study shows how cognitive science theory-driven pharmacology can shed light on the neurobiological basis of perception-motor integration and how catecholamines affect specific information codes relevant to cognitive control.