Computational Edge for Multiple Autonomous Objects

Abstract

This research explores possibilities of creating software architectures for managing multiple autonomous objects in computational environments, which move away from clouds and use computational power of objects, at the edge of computing and communication networks. The emphasis is on shaping the behaviour of autonomous objects through human involvement in order to manipulate functions and change the purpose and levels of autonomy of these objects. The proposed computational model, generated from the software architectures, which gives rise to serverless and edge computing, should work across problem domain. By collecting relevant data and allowing a variable level of human input, the solution will enable us to choose, merge and combine multiple objects for a variety of tasks and according to environments in which autonomous objects reside.