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Networked systems are common and crucial. One of the canonical problems in such systems is distributed resource allocation. From this rather broad class of problems, we consider a convex non-smooth resource allocation problem with a global resource constraint. Specifically, the objective function is separable and consists of a sum of convex functions, each associated with a node in a given network...
Next Generation Networks (NGN) are envisaged to see a vast and inevitable convergence of diverse multimedia and mobile services with versatile bandwidth utilities. As such, a design challenge for NGN is to allow efficient rate allocation without compromising Quality of Service (QoS) provisioning to any service and thereby enable a global welfare gain. However, the traditional rate allocation schemes...
The main aim of this study is managing robot tasks to minimize the deviation between the resource requirements and stated desirable levels. An improved adaptive immune clone selection algorithm (ICSA) is proposed. In this study resource leveling methods are used to solve task scheduling problems in autonomous multi robot group. Robots are considered as resources. The experimental results show that...
This paper investigates the non-convexity of utility-based resource allocation problems in orthogonal frequency division multiple access (OFDMA) networks with heterogeneous traffic classes. Efficient transmission in OFDMA networks requires optimal resource allocation to users based on their current channel states. Also, utility-based resource allocation improves the network resource utilization and...
In this paper, we study a utility based flow control problem for a communication network. In most previous works on utility based flow control, the utility function of each user, which represents its satisfaction to the allocated data rate, is assumed to be fixed. This implies that the degree of the rate requirement of each user is assumed to be fixed over the entire duration of its session. However,...
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