Towards QoS-Aware Scheduling in Software-Defined Storage Networks

Software-Defined Storage (SDS) concept has recently emerged as a new technology inside data centers. It can provide high availability, manageability, performance and cost benefits to both data center owners, application developers and subscribers including Mobile Network Operators (MNO) or Mobile Virtual Network Operators (MVNO). In this paper, based on the assumption that MNOs are competing to access the storage units inside data centers, performance of Max-Min Fairness scheduler algorithms is investigated based on MNO's demands and available storage resources inside data center. The allocation of resources are performed under the consideration of both guaranteed and instantaneous storage amount. Satisfied-MNO-ratios are used as key performance indicator (KPI) and simplest allocation algorithm, Round Robin, is considered as benchmark in comparison.