In this paper, the common centralized DEA models are extended to the bi-level centralized resource allocation (CRA) models based on revenue efficiency. Based on the Karush–Kuhn–Tucker (KKT) conditions, the bi-level CRA model is reduced to a one-level mathematical program subject to complementarity constraints (MPCC). A recurrent neural network is developed for solving this one-level mathematica...

In the era of Big Data, with data growing massively in scale and velocity, cloud computing its pay-as-you-go model continues to provide significant cost benefits a seamless service delivery for consumers. The evolution small-scale large-scale geo-distributed datacenters operated managed by individual Cloud Service Providers (CSPs) raises new challenges terms effective global resource sharing ma...

Allocating and managing resources while considering the quality of service is considered a fundamental complex research problem in cloud environment. An optimal resource allocation optimizes several parameters such as optimizing cost utilization or maximizing any parameters. However, to ensure better customer service, Cloud Service Providers (CSPs) should consider most attributes allocating inf...

Network slicing is a key feature of 5G and beyond networks, allowing the deployment separate logical networks (network slices), sharing common underlying physical infrastructure, characterized by distinct descriptors behaviors. The dynamic allocation network resources among coexisting slices should address challenging trade-off: to use efficiently while assigning each slice sufficient meet its ...

abstract- inadequate water supply is the major problem for agriculture in arid and semi-arid regions. thus, effective management should be considered for water resources planning. in this research, a model was provided which is able to estimate optimal land and water allocation in the doroodzan irrigation network. optimal water management model was used at farm level to evaluate different defic...