Published in Ghent University, 2020
PhD dissertation
Recommended citation: Saxena, Apoorv. 2020. “Stochastic Models for Cloud Data Backups and Video Streaming on Virtual Reality Headsets.” Universiteit Gent. Faculteit Ingenieurswetenschappen en Architectuur. https://biblio.ugent.be/publication/8675741
Published in (Under Review), 2020
Maintenance scheduling and spare part management using Markov models in Industry 4.0
Recommended citation: Dendauw, Pieterjan and Saxena, Apoorv and Claeys, Dieter and Fiems, Dieter. "Inventory management of spare parts under condition based maintenance." Under Review.
Published in (Under Review), 2020
In this paper we model the streaming of $360^0$ videos on a VR headset using a wireless channel. We model both the intermittent behavior of the wireless channel as well as the prediction of the head position of the user. The MDP based streaming algorithm we present, guarantees a high Quality of Experience (QoE) for the headset users while ensuring that the resource usage is minimised.
Recommended citation: Apoorv Saxena, Shishir Subramanyam, Pablo Cesar, Rob van der Mei, Berg, J.L. (Hans) van den (2020). "Efficient delivery of 360 videos on VR headsets." Under Review.
Published in Annals of Operations Research, 2019
Storage processes are designed in a way to guarantee a high quality of service to its users. The service quality levels are ensured by performing the operations at an optimal frequency. Moreover, long backup off periods and high backlogs are also avoided by using trigger mechanisms. In this paper, we model these trigger mechanisms using restarting thresholds and study the underlying queueing model.
Recommended citation: Apoorv Saxena, Dieter Claeys, Bo Zhang, Joris Walraevens. (2019). "Cloud data storage: A queueing model with thresholds." Annals of Operations Research. https://doi.org/10.1007/s10479-019-03279-y
Published in Computer Networks, 2019
In this paper we focus on the analysis of the waiting time of data packets to receive backup service and the frequency of backup operations. In particular, we compute the generating function of the waiting time and compute the tail probabilities using dominant singularity analysis.
Recommended citation: Apoorv Saxena, Dieter Claeys, Herwig Bruneel, Joris Walraevens (2019). "Analysis of the Age of data in data backup systems." Computer Networks. https://doi.org/10.1016/j.comnet.2019.05.020
Published in Computer Communications, 2018
Data is increasing being stored in clouds due to the benefits of this infrastructure. In this paper we study a general queueing model of this process and numerically compute the performance measures which characterize the performance of such operations. In particular, we are able to analyze the resource usage of performing these operations as well as the Quality of Service provided to the data packets.
Recommended citation: Apoorv Saxena, Dieter Claeys, Herwig Bruneel, Bo Zhang, Joris Walraevens (2018). "Modeling data backups as a batch-service queue with vacations and exhaustive policy." Computer Communications. 128(46-59). https://doi.org/10.1016/j.comcom.2018.07.014