Multiple priority customer service guarantees in cluster computing

Cluster computing is an efficient computing paradigm for solving large-scale computational problems. Resource management is an essential part in such a computing system. A service provider uses computational resources to process a customer´s service request. In an effort to maximize a service provider´s profit, it becomes commonplace and important to prioritize services in favor of customers who pay higher fees. In this paper, we present an approach for optimal resource management in cluster computing that minimizes the total cost of computer resources owned by a service provider while satisfying multiple priority customer service requirements. Simulation examples show that the proposed approach is efficient and accurate for resource management in a cluster computing system with multiple customer services.