Constraints in Clouds
Jacopo Mauro · Atlantis studies in computing · 2014
Cloud computing, introduced in Sect. 3.1.3 , can be a powerful infrastructure for solving Constraint Satisfaction Problems (CSPs) in parallel, since sometimes dedicated machines are too expensive to be afforded. In a scenario where a lot of CSPs need to be solved concurrently, the resources provided by a cloud can be used with four main advantages with respect to the use of a dedicated machine: flexibility, scalability, cost effectiveness, and reliability. The cloud allows flexibility and scalability since borrowing or releasing resources can be done very easily at runtime following the variation of the computational requirements needed to solve the CSPs. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.