A DISTRIBUTED AGENT-BASED DECISION SUPPORT FOR CLOUD BROKERING

In goal oriented problems, decision-making is a crucial aspect aiming at enhancing the ability to make decisions by full autonomous, or supervised software agents. Agents usually resolve a huge number of evaluations and decisions without the user intervention. Just the remaining uncertainty should be left to the user's attention. In this paper we present a complete constrained multi-objectives optimization problem, modeled as an agent based decision support systems, that helps to choose the Cloud proposals that best satisfy the needs of the user, among the ones offered by known vendors. In particular we focus on a distributed solution that exploits the multi-agents programming model and the Cloud elasticity to comply with computational requirements of delivering such brokering at Cloud service level.