SOLT: A Software-Defined Load Balancing Algorithm for Time Sensitive Networks

Document Type

Conference Proceeding

Publication Title

Proceedings - IEEE Global Communications Conference, GLOBECOM

Abstract

Motivated by the need to provide a precisely determined delay between source and sink nodes in time-sensitive networks, we propose an architecture that provisions near-zero queuing delay in new Quality-of-Service frameworks, e.g., those of 5G solutions. To this end, various studies have shown how load balancing can reduce delay. Most of these studies consider N parallel processing queues with exponential service rates and Poisson arrivals with mean rate λ. These queues are handled by a single controller that assigns a new task to the shortest queue. The so-called power-of-d-servers or power-of-d-choices approach was proven to provide necessary delay improvements. In this strategy, the controller allocates the request to the least-loaded server among d(N), 1 ≤ d(N) ≤ N randomly selected servers. However, none of these studies have considered realistic scenarios of fractional resource assignment to flow requests. To address this key shortcoming, we make the following contributions: (1) We design a software-defined network (SDN) controller framework called SOLT that considers the keys aspects of available resources in a time-sensitive network (TSN) setting, (2) We prove theoretically, how these bounds can be achieved and show the necessary conditions for achieving asymptotically zero delays in such networks, and (3) Through simulations, we demonstrate the improvements achieved by SOLT in comparison with state-of-the-art algorithms.

First Page

2850

Last Page

2856

DOI

10.1109/GLOBECOM54140.2023.10437516

Publication Date

1-1-2023

Keywords

5G, SDN, TSN

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