Self-evolving applications over opportunistic communication systems

Abstract

In this work, we focus on an application scenario in which services running over users mobile devices exploit opportunistic communications in order to evolve over time, as the result of a distributed and collaborative process. We propose a framework which is based on genetic programming and supports an asynchronous and distributed evolution of composite services. We implement the framework over otT-the shelf components and evaluate it through field trials in the case of a gaming scenario. Results show the ability of the proposed system to evolve over time in order to adapt to varying contexts.

Challenges in securing the interface between the cloud and pervasive systems

“…Much research has gone into data management [5], prefetching [6], [7], caching [8], consistency [9], and opportunistic transfer [10], [11] of data in pervasive systems. While much of this work can still be leveraged to improve the interface between pervasive and cloud systems, it becomes less of an essential portion of the system.…”

Estimation of distribution algorithms

“…Some recent research has successfully implemented EAs in GPGPU cards [21,39,62], and mobile phones [12,20]. Algorithms like UMDA have also been implemented in the cell broadband engine used by PlayStation 3 game console [60].…”