Cognitively-Inspired Agent-Based Service Composition for Mobile and Pervasive Computing

Abstract

Automatic service composition in mobile and pervasive computing faces many challenges due to the complex and highly dynamic nature of the environment. Common approaches consider service composition as a decision problem whose solution is usually addressed from optimization perspectives which are not feasible in practice due to the intractability of the problem, limited computational resources of smart devices, service host's mobility, and time constraints to tailor composition plans. Thus, our main contribution is the development of a cognitivelyinspired agent-based service composition model focused on bounded rationality rather than optimality, which allows the system to compensate for limited resources by selectively filtering out continuous streams of data. Our approach exhibits features such as distributedness, modularity, emergent global functionality, and robustness, which endow it with capabilities to perform decentralized service composition by orchestrating manifold service providers and conflicting goals from multiple users.The evaluation of our approach shows promising results when compared against state-of-the-art service composition models.

Routing Protocol for MANET Based on QoS-Aware Service Composition with Dynamic Secured Broker Selection

“…Service composition is the integration of any existing e-services communicated over the Internet through wired media [4]. Recently, the research [5][6][7][8][9][10][11] on service composition over infrastructure-less networks has evolved enormously. Most of the works in the literature deliberate that the services available on the wired network are easily accessible; whereas, the services offered by the wireless network can be accessed by matching service composition protocols with infrastructure-less protocols.…”

“…Therefore, an efficient cluster-head-selection mechanism can handle the network load as well as boost network efficiency. The research work in [6] proposed a Linked Cluster Algorithm that assigns an id to each cluster and selects the cluster head with highest id value. A node with higher mobility does not get a chance to act as the head.…”

Cognitive Pervasive Service Composition Applied to Predatory Crime Deterrence

“…COPERNIC [40] is service composition and adaptation middleware for pervasive systems. Its approach uses the modeling of a cognitive agent for performing service compositions.…”