Design and Analysis of Deadline and Budget Constrained Autoscaling (DBCA) Algorithm for 5G Mobile Networks

TL;DR

This paper introduces the DBCA algorithm for 5G networks that optimizes resource autoscaling under deadline and budget constraints, improving performance while reducing costs.

Contribution

The paper presents a novel analytical model and algorithm for autoscaling in 5G networks considering budget and performance tradeoffs, validated through extensive simulations.

Findings

DBCA significantly improves system performance within budget limits

The analytical model accurately predicts the tradeoff between budget and performance

Model enables quick evaluation of system design without extensive deployment

Abstract

In cloud computing paradigm, virtual resource autoscaling approaches have been intensively studied recent years. Those approaches dynamically scale in/out virtual resources to adjust system performance for saving operation cost. However, designing the autoscaling algorithm for desired performance with limited budget, while considering the existing capacity of legacy network equipment, is not a trivial task. In this paper, we propose a Deadline and Budget Constrained Autoscaling (DBCA) algorithm for addressing the budget-performance tradeoff. We develop an analytical model to quantify the tradeoff and cross-validate the model by extensive simulations. The results show that the DBCA can significantly improve system performance given the budget upper-bound. In addition, the model provides a quick way to evaluate the budget-performance tradeoff and system design without wide deployment, saving on cost and time.