<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper considers reasonable bandwidth allocation for multiclass services in peer-to-peer (P2P) networks, measures the satisfaction of each peer as a customer by a utility function when acquiring one service, and develops an optimization model for bandwidth allocation with the objective of utility maximization. Elastic services with concave utilities are first considered and the exact expression of optimal bandwidth allocation for each peer is deduced. In order to obtain an optimum in distributed P2P networks, we develop a gradient-based bandwidth allocation scheme and illustrate the performance with numerical examples. Then we investigate bandwidth allocation for inelastic services with sigmoidal utilities, which is a nonconvex optimization problem. In order to solve it, we analyze provider capacity provisioning for bandwidth allocation of inelastic services and modify the update rule for prices that service customers should pay. Numerical examples are finally given to illustrate that the improved scheme can also efficiently converge to the global optimum.</p></abstract>

This paper considers reasonable bandwidth allocation for multiclass services in peer-to-peer (P2P) networks, measures the satisfaction of each peer as a customer by a utility function when acquiring one service, and develops an optimization model for bandwidth allocation with the objective of utility maximization. Elastic services with concave utilities are first considered and the exact expression of optimal bandwidth allocation for each peer is deduced. In order to obtain an optimum in distributed P2P networks, we develop a gradient-based bandwidth allocation scheme and illustrate the performance with numerical examples. Then we investigate bandwidth allocation for inelastic services with sigmoidal utilities, which is a nonconvex optimization problem. In order to solve it, we analyze provider capacity provisioning for bandwidth allocation of inelastic services and modify the update rule for prices that service customers should pay. Numerical examples are finally given to illustrate that the improved scheme can also efficiently converge to the global optimum.

Utility optimization–based bandwidth allocation for elastic and inelastic services in peer–to–peer networks

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper considers reasonable bandwidth allocation for multiclass services in peer-to-peer (P2P) networks, measures the satisfaction of each peer as a...

Utility optimization–based bandwidth allocation for elastic and inelastic services in peer–to–peer networks

Published Online: Mar 29, 2019

Page range: 111 - 123

Received: Mar 14, 2018

Accepted: Oct 22, 2018

DOI: https://doi.org/10.2478/amcs-2019-0009

Keywords
P2P networks, bandwidth allocation, elastic and inelastic services, utility function

© 2019 Shiyong Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Utility optimization–based bandwidth allocation for elastic and inelastic services in peer–to–peer networks

Published Online: Mar 29, 2019

Page range: 111 - 123

Received: Mar 14, 2018

Accepted: Oct 22, 2018

DOI: https://doi.org/10.2478/amcs-2019-0009

KeywordsP2P networks, bandwidth allocation, elastic and inelastic services, utility function

© 2019 Shiyong Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
P2P networks, bandwidth allocation, elastic and inelastic services, utility function