Incorporate intelligence into the differentiated services strategies of a Web server: an advanced feedback control approach

Loudini, Malik; Rezig, Sawsen; Salhi, Yahia

doi:10.1186/1869-0238-4-15

Cited by 5 publications

(4 citation statements)

References 38 publications

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“…In website view, there would be some menu like Practicum, Registration, Contact and Login. The use of this Web Server is used to analyze feedback [27,28].…”

Section: Software Designmentioning

confidence: 99%

Fuzzy logic applications for data acquisition systems of practical measurement

Haddin¹,

Marwanto²,

Suprajitno³

et al. 2020

IJECE

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In laboratory works, the error in measurement, reading the measurring devices, similarity of experimental data and lack of understanding of practicum materials are often found. These will lead to the inacurracy and invalid in data obtanined. As an alternative solution, application of fuzzy logic to the data acquisition system using a web server can used. This research focuses on the design of data acquisition systems with the target of reducing the error rate in measuring experimental data on the laboratory. Data measurement on laboratory practice module is done by taking the analog data resulted from the measurement. Furthermore, the data are converted into digital data via arduino and stored on the server. To get valid data, the server will process the data by using fuzzy logic method. The valid data are integrated into a web server so that it can be accessed as needed. The results showed that the data acquisition system based on fuzzy logic is able to provide recommendation of measurement result on the lab works based on the degree value of membership and truth value. Fuzzy logic will select the measured data with a maximum error percentage of 5% and select the measurement result which has minimum error rate.

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“…In website view, there would be some menu like Practicum, Registration, Contact and Login. The use of this Web Server is used to analyze feedback [27,28].…”

Section: Software Designmentioning

confidence: 99%

Fuzzy logic applications for data acquisition systems of practical measurement

Haddin¹,

Marwanto²,

Suprajitno³

et al. 2020

IJECE

View full text Add to dashboard Cite

show abstract

“…A decision model combining subjective and objective QoS factors [152] is given for personalised web service selection, and a fuzzy query interface is designed to accept users’ service demands to solve the problem that the web service lacks service quality information. In order to research the advanced feedback control strategies for better web servers QoS, Loudini et al [153] utilised fuzzy logic controller (FLC) to enhance the system capabilities. Then, the SA is used to optimise the FLC parameters with efficient tuning procedures.…”

Section: Nature‐inspired Computing (Nic) Approaches For Web Service Cmentioning

confidence: 99%

Advances on QoS‐aware web service selection and composition with nature‐inspired computing

Zhao

Zuo

2019

CAAI Transactions on Intelligence Technology

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“…The IntServ network's main goal is a guaranteed QoS on the individual connection; but in the DiffServ approach, the QoS is guaranteed at the individual router [1,2,19,20]. In addition, the IETF provided a perhop behaviour (PHB) mechanism for service classes to optimize QoS in the DiffServ network [21,22].…”

Section: Introductionmentioning

confidence: 99%

An optimized aggregate marker algorithm for bandwidth fairness improvement in classifying traffic networks

Alkharasani

Othman

Abdullah

et al. 2016

J Wireless Com Network

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The quality of service (QoS) requirements do not define a marker algorithm for service classes and managing network traffic to provide fair bandwidth sharing among aggregate flows. Additionally, the assured service is designed for applications relying on the Transmission Control Protocol (TCP). This article analyses and evaluates a new time sliding window traffic marker algorithm called the Optimized time sliding window Three Colour Marker (OtswTCM). The new design of the OtswTCM algorithm depends on the adaptability of the gamma (γ ) concept in the Improved time sliding window Three Colour Marker (ItswTCM), the Double Improved time sliding window Three Colour Marker (I 2 tswTCM) and the Double Modified Double Improved time sliding window Three Colour Marker (M 2 I 2 tswTCM) algorithms to affect fairness and multiple protocols in classifying network traffic. This is achieved through separating marker TCP and User Datagram Protocol (UDP) and extending the marking probability for injecting more green and yellow traffic into the network. The marking probability mechanism was also studied to check how parameters in the traffic rate affect fairness. Extensive simulations were carried out to implement the algorithm using the NS2 simulator and compare the proposed marker algorithm with several other algorithms. The results show that the proposed marker algorithm is not affected by the number of flows and outperforms the previous marker algorithms in terms of fairness.

show abstract

Incorporate intelligence into the differentiated services strategies of a Web server: an advanced feedback control approach

Cited by 5 publications

References 38 publications

Fuzzy logic applications for data acquisition systems of practical measurement

Fuzzy logic applications for data acquisition systems of practical measurement

Advances on QoS‐aware web service selection and composition with nature‐inspired computing

An optimized aggregate marker algorithm for bandwidth fairness improvement in classifying traffic networks

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