Loss ratio approximations in buffered systems with regulated inputs

Bı́ró, József

doi:10.1145/1190095.1190182

Cited by 4 publications

(4 citation statements)

References 23 publications

(47 reference statements)

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“…In any network Loss is a very important parameter to look after, if the Quality of Service provided by the network is concerned. In the past, based on the approximation of the probability of buffer overflow the workload loss ratio is calculated based on which the loss in the network is estimated [1][2][3][4]. But, practically this way of loss estimation have two major drawbacks.…”

Section: Related Workmentioning

confidence: 99%

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SNC Based Network Layer Design for Underwater Communication Used in Open Ocean Fish Farming

Manikandan,

Sukumaran

2022

IJEAST

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Aquaculture is gradually moving toward Open Ocean Fish Farming (OOFF) in recent times because of the huge environmental impacts caused by onshore fish farming. Although Offshore fish farming has a lot of benefits over onshore fish farming it has its threats as well. Harmful Algae Blooms (HAB) are one such threat to Offshore fish farming. HAB is the formation of algae in groups that are toxic. The HAB can significantly affect the health of the fish that are being cultured. To prevent and act on HAB, monitoring of different environmental parameters is done in the field that is of concern. Traditionally for these kinds of monitoring human drivers are employed. But involving human drivers for monitoring in offshore conditions is cost expensive and difficult. Technology-enabled autonomous monitoring is needed in an offshore environment. Here comes underwater Wireless Sensor Networks (UWSN) which can be used for inspection of underwater fish farms for the detection of HAB. In UWSN loss is one of the main parameters that affect the Quality of Service. So this research focuses on the development of a Stochastic Network Calculus (SNC) based mathematical model of the network layer design for underwater communication that can be used in OOFF. In this work, we introduced the loss factor parameter into SNC and derived the loss bound for underwater communication, and the same is evaluated using discrete event simulation.

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Section: Related Workmentioning

confidence: 99%

“…First, for some input processes, it is tough to estimate the probability of buffer overflow. Second, it is hard to quantify the relationship between the probability of buffer overflow and the loss ratio [1].…”

Section: Related Workmentioning

confidence: 99%

SNC Based Network Layer Design for Underwater Communication Used in Open Ocean Fish Farming

Manikandan,

Sukumaran

2022

IJEAST

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“…Traditional methods for loss analysis aim at estimating the work load loss ratio based on the approximations of buffer overflow probability [1–4]. However, there are two main drawbacks in these methods.…”

Section: Introductionmentioning

confidence: 99%

“…First, it is difficult to calculate the buffer overflow probability for some input processes. Second, the relation between loss ratio and buffer overflow probability is often hardly quantifiable [1]. …”

Section: Introductionmentioning

confidence: 99%

Extending Stochastic Network Calculus to Loss Analysis

Chen

Yu²,

Zheng³

2013

The Scientific World Journal

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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.

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Network queue and loss analysis using histogram-based traffic models

Hernández-Orallo

Vila-Carbó

2010

Computer Communications

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Loss ratio approximations in buffered systems with regulated inputs

Cited by 4 publications

References 23 publications

SNC Based Network Layer Design for Underwater Communication Used in Open Ocean Fish Farming

SNC Based Network Layer Design for Underwater Communication Used in Open Ocean Fish Farming

Extending Stochastic Network Calculus to Loss Analysis

Network queue and loss analysis using histogram-based traffic models

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