On the model transform in stochastic network calculus

Wu, Kui; Jiang, Yuming; Li, Jie

doi:10.1109/iwqos.2010.5542751

Cited by 9 publications

(4 citation statements)

References 22 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, stochastic network calculus is used to obtain the E2E delay and backlog bounds. The problem of stochastic network calculus is, however, that the bounds can be very loose [14]. The author in [15] investigates the potential of one of the imminent commercial constellations, Starlink, to provide low-latency.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Information Freshness of Updates Sent over LEO Satellite Multi-Hop Networks

Chiariotti¹,

Vikhrova²,

Soret³

et al. 2020

Preprint

View full text Add to dashboard Cite

Low Earth Orbit (LEO) satellite constellations are bringing the Internet of Things (IoT) to the space arena, also known as non-terrestrial networks. Several IoT satellite applications for tracking ships and cargo can be seen as exemplary cases of intermittent transmission of updates whose main performance parameter is the information freshness. This paper analyzes the Age of Information (AoI) of a satellite network with multiple sources and destinations that are very distant and therefore require several consecutive multi-hop transmissions. A packet erasure channel and different queueing policies are considered. We provide closed-form bounds and tight approximations of the average AoI, as well as an upper bound of the Peak Age of Information (PAoI) distribution as a worst-case metric for the system design. The performance evaluation reveals complex trade-offs among age, load, and packet losses. The optimal operational point is found when the combination of arrival rates and packet losses is such that the system load can ensure fresh information at the receiver; nevertheless, achieving this is highly dependent on the mesh topology. Moreover, the potential of an age-aware scheduling strategy is investigated and the fairness among users discussed. The results show the need to identify the bottleneck nodes for the age, as improving the rate and reliability of those critical links will highly impact on the overall performance. The model is general enough to represent other multi-hop mesh networks. I. INTRODUCTIONSatellite communications are characterized by the inherent delay due to the large physical distances. Such propagation delay is highly reduced when using Low Earth Orbit (LEO) satellites with altitudes between 500 and 2000 km, and propagation delays in the order of milliseconds.

show abstract

Section: Related Work and Contributionsmentioning

confidence: 99%

Information Freshness of Updates Sent over LEO Satellite Multi-Hop Networks

Chiariotti¹,

Vikhrova²,

Soret³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…stochastic arrival curve and the stochastic strict service curve if we deduce any other types of stochastic arrival curves and stochastic service curves. The details of the model transform are presented in [18]. …”

Section: Loss Bound Based On Stochastic Network Calculusmentioning

confidence: 99%

Extending Stochastic Network Calculus to Loss Analysis

Chen

Yu²,

Zheng³

2013

The Scientific World Journal

View full text Add to dashboard Cite

Loss is an important parameter of Quality of Service (QoS). Though stochastic network calculus is a very useful tool for performance evaluation of computer networks, existing studies on stochastic service guarantees mainly focused on the delay and backlog. Some efforts have been made to analyse loss by deterministic network calculus, but there are few results to extend stochastic network calculus for loss analysis. In this paper, we introduce a new parameter named loss factor into stochastic network calculus and then derive the loss bound through the existing arrival curve and service curve via this parameter. We then prove that our result is suitable for the networks with multiple input flows. Simulations show the impact of buffer size, arrival traffic, and service on the loss factor.

show abstract

“…Unlike much theoretical development in the field of the stochastic network calculus, its application to critical problems, such as the reliability of a power system, is lagging behind [38]. Recent examples of works, concerning applications of the stochastic network calculus, include for instance [39] which analyzes the delay of the IEEE 802.11 distributed coordination function (DCF), where the stochastic behavior of the DCF is characterized by a time-domain model; the endto-end delay in some wireless networks is analyzed in [40].…”

Section: ) Wind Generation Impactmentioning

confidence: 99%

A Stochastic Power Network Calculus for Integrating Renewable Energy Sources into the Power Grid

Wang

Ciucu

Chen

et al. 2012

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

Renewable energy such as solar and wind generation will constitute an important part of the future grid. As the availability of renewable sources may not match the load, energy storage is essential for grid stability. In this paper we investigate the feasibility of integrating solar photovoltaic (PV) panels and wind turbines into the grid by also accounting for energy storage. To deal with the fluctuation in both the power supply and demand, we extend and apply stochastic network calculus to analyze the power supply reliability with various renewable energy configurations. To illustrate the validity of the model, we conduct a case study for the integration of renewable energy sources into the power system of an island off the coast of Southern California. In particular, we asses the power supply reliability in terms of the average Fraction of Time that energy is Not-Served (FTNS).

show abstract

On the model transform in stochastic network calculus

Cited by 9 publications

References 22 publications

Information Freshness of Updates Sent over LEO Satellite Multi-Hop Networks

Information Freshness of Updates Sent over LEO Satellite Multi-Hop Networks

Extending Stochastic Network Calculus to Loss Analysis

A Stochastic Power Network Calculus for Integrating Renewable Energy Sources into the Power Grid

Contact Info

Product

Resources

About