A bandwidth sourcing and task allocation model in telecommunications under stochastic QoS guarantees

Turan, Hasan Hüseyin; Kasap, Nihat; Savran, Hüseyin

doi:10.1016/j.asoc.2014.08.014

Cited by 5 publications

(1 citation statement)

References 70 publications

(82 reference statements)

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“…Finally, optimal behavior of intermediary analyzed under different problem settings such as changing demand distribution type and variance of the demand distribution of end-users. In studies 26 and 3 QoS parameters (delay and jitter) are modeled as random variables, in which end-users and intermediaries are considered as decision makers, respectively. On the other hand, delay and jitter amounts guaranteed by network providers and maximum delay jitter levels tolerable for end-users are modeled as fuzzy numbers from telecom firm's point of view in 27 .…”

Section: Related Workmentioning

confidence: 99%

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Turan¹,

Kasap²,

et al. 2016

IJCIS

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In this paper, bandwidth acquisition and allocation problem of a telecommunications Bandwidth Broker (BB) is analyzed under uncertain end-user capacity requests and pay-per-byte (volume) based pricing policy. Furthermore, related objective function coefficients such as revenue and costs are modeled as fuzzy numbers in order to cope with vague market conditions. By integrating fuzzy mathematical programming and two-stage stochastic programming techniques, deterministic equivalent of single objective profit maximization problem of BB is obtained solved to optimality. In addition, infrastructure related performance measures such as delay and jitter amounts in the network are modelled via stochastic parameters that obey some known probability distributions. Two performance statistics namely fuzzy Expected Value of Perfect Information (EVPI) and fuzzy Value of Stochastic Solution (VSS) are defined to demonstrate the efficiency of proposed methodology compared to deterministic approach. In addition, several secondary performance measures such as expected capacity utilization, expected demand fulfilment ratio and capacity loss are calculated under different problem settings. In conclusion, numerical experiments showed that fuzzy stochastic method provides more profit depending upon problem size in compression with deterministic strategy.

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Section: Related Workmentioning

confidence: 99%

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Turan¹,

Kasap²,

et al. 2016

IJCIS

Self Cite

View full text Add to dashboard Cite

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Stochastic fuzzy multi-objective backbone selection and capacity allocation problem under tax-band pricing policy with different fuzzy operators

Turan

2016

Soft Comput

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A Hybrid Heuristic Approach to Provider Selection and Task Allocation Problem in Telecommunications with Varying QoS Levels

Kasap¹,

Sivrikaya²,

Turan³

et al. 2017

IJCIS

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In this research, we study a cost minimization problem for a firm that acquires capacity from providers to accomplish daily operations on telecommunication networks. We model the related optimization problem considering quality of service and capacity requirements and offer a solution approach based on genetic algorithm (GA). Our model reckons the tradeoff between the network capacity acquisition cost and opportunity cost arise when data transmission quality for real-time tasks manifested at undesired levels. To better represent the related features and complexities, we model both capacity and loss probability requirements explicitly, and then, formulate delay and jitter requirements as level matching constraints. Using an experimental framework, we analyze how optimal behavior of the firm is affected by different price schemes, transmission quality and task distributions. We also compare three GA based heuristic solution approaches and comment on the suitability of them on resource selection and task allocation problems.

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A bandwidth sourcing and task allocation model in telecommunications under stochastic QoS guarantees

Cited by 5 publications

References 70 publications

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme

Stochastic fuzzy multi-objective backbone selection and capacity allocation problem under tax-band pricing policy with different fuzzy operators

A Hybrid Heuristic Approach to Provider Selection and Task Allocation Problem in Telecommunications with Varying QoS Levels

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