Andreas Kapsalis

A Cooperative Fog Approach for Effective Workload Balancing

Fog Computing is an emerging paradigm, suitable to serve the particular needs of IoT networks. It includes the deployment of computational devices at the edge of the network facilitating faster real-time processing of time-sensitive data. In this article, we present a Fog architecture, which diverges from the traditional hierarchical and centralized Fog model, and adopts a cooperative model, which allows for a federation of Edge networks. In our proposal, the tasks that the nodes are called to complete, are characterized according to their computational nature and are subsequently allocated to the appropriate host. Edge networks communicate through a brokering system with IoT systems in an asynchronous way via the Pub/Sub messaging pattern.

The Health Avatar: Privacy-Aware Monitoring and Management

The rapidly increasing number of health monitoring devices, mainly wearables, will let users monitor their health and habitual parameters in a simple and easy way. However, the diversity of available platforms calls for simplified, standard solutions that can offer integrated tools to users--that is, patients, professionals, and practitioners. The authors present the idea of a health avatar thats used as the electronic equivalent of a human and features a dynamic life profile corresponding to the human owners physical status, living conditions, and habits. They examine how such avatars can be used to improve the quality of health and life.

Improving Quality of Life with the Internet of Everything

The advent of the Internet of Everything, where things and data providers can connect not only to other things and data providers, but to human entities as well, and are enriched with intelligence, calls for sophisticated data handling, storing, and sharing mechanisms. In this chapter, we present an ecosystem built over the idea of Internet of Everything and featuring a collaborative, intelligent service bus, which gathers information from connected devices and uses it to improve quality of life. All aspects related to data collection, processing, protection of privacy, as well as collaboration between users and interfacing between humans and devices are addressed, while mechanisms supporting decision making towards health related goals are presented.

A Cloud Platform for classification and resource management of complex electromagnetic problems

Most scientific applications tend to have a very resource demanding nature and the simulation of such scientific problems often requires a prohibitive amount of time to complete. Distributed computing offers a solution by segmenting the application into smaller processes and allocating them to a cluster of workers. This model was widely followed by Grid Computing. However, Cloud Computing emerges as a strong alternative by offering reliable solutions for resource demanding applications and workflows that are of scientific nature. In this paper we propose a Cloud Platform that supports the simulation of complex electromagnetic problems and incorporates classification (SVM) and resource allocation (Ant Colony Optimization) methods for the effective management of these simulations.