Optimized Resource Allocation and Task Offload Orchestration for Service-Oriented Networks

摘要

With the expansion of mobile devices and new trends in mobile communication technologies, there is an increasing demand for diversified services. Thus, it becomes crucial for a service provider to optimize resource allocation decisions to satisfy the service requirements. In this paper, we propose a stochastic programming model to determine server placement and service deployment decisions given a budget restriction when certain service parameters are random. Our computational tests show that the Sample Average Approximation method can effectively find good solutions for different network topologies.