Agents in grid extended to clouds

Abstract

© 2016 Author(s). The presented work is an attempt to extend considerations from the Agents in Grid (AiG) project to the Clouds. The AiG project is aimed at the development of an agent-semantic infrastructure for efficient resource management in the grid. Decision support within the AIG system helps the user, without in-depth knowledge, to choose optimal algorithm and/or resource to solve a problem from a given domain, and later to choose the best contract defining terms of collaboration with the provider of a resource used to solve the problem. Cloud computing refers to an architecture, in which groups of remote servers are networked, to allow online access to computer services or resources. The general vision is the same as in the case of computational grids, i.e., to reduce cost of computing, as well as to increase flexibility and reliability of the infrastructure. However, there are also important differences. It is relatively easy to notice that solutions considered in the context of the AiG system can be easily extended to computational clouds that evolved from computational grids. As it was shown in the case of grids, integrating software agents, semantics and cloud computing could enable highly efficient, intelligent systems, making clouds even more flexible, autonomic and usable.