scholarly journals FEC-Integrated Network Traffic Shaping Using the NIProxy

2009 ◽  
Author(s):  
Maarten Wijnants ◽  
Wim Lamotte
Keyword(s):  
Network Traffic ◽  
Traffic Shaping ◽  
Integrated Network

Fuzzy reliability analysis of integrated network traffic visualization system

2016 ◽  
Vol 31 (3) ◽  
pp. 1941-1953 ◽  
Author(s):  
Amit Kumar Bhardwaj ◽  
Yuvraj Gajpal ◽  
Maninder Singh
Keyword(s):  
Reliability Analysis ◽  
Network Traffic ◽  
Fuzzy Reliability ◽  
Integrated Network ◽  
Visualization System

scholarly journals Traffic Shaping Menggunakan Metode HTB (Hierarchical Token Bucket) pada Jaringan Nirkabel

2019 ◽  
Vol 1 (3) ◽  
pp. 144
Author(s):  
Shiha Budin ◽  
Imam Riadi
Keyword(s):  
Quality Of Service ◽  
Computer Networks ◽  
Network Traffic ◽  
Information Services ◽  
Test Results ◽  
Traffic Shaping ◽  
Token Bucket ◽  
Network Quality ◽  
Qos Index

Perkembangan zaman yang semakin pesat menuntut adanya layanan informasi yang lebih cepat, tepat, dan akurat menjadikan jaringan komputer sebagai kebutuhan utama. Traffic Shaping dengan Quality of Service (QoS) dapat digunakan dalam mengoptimalkan bandwidth suatu jaringan untuk menentukan jenis-jenis lalu lintas jaringan. Metode Hierarchical Token Bucket (HTB) dapat mengimplementasi pembagian trafik yang lebih akurat, dengan bandwidth yang tidak digunakan dapat dioptimalkan oleh pengguna lain. Hasil traffic shaping menggunakan metode HTB menghasilkan rata-rata indeks QoS yaitu 3,75 dan dapat dikategorikan Baik, dibandingkan sebelum menerapkan traffic shaping yaitu rata-rata 2,25 yang dikategorikan Kurang Baik. Berdasarkan hasil pengujian dapat disimpulkan bahwa kinerja jaringan hotspot dengan Traffic Shaping dan Quality of Service (QoS)  dapat meningkatkan kualitas jaringan daripada sebelumnya.The development of an increasingly rapid era requires the existence of information services that are faster, more precise, and accurate, making computer networks a primary need. Traffic Shaping with Quality of Service (QoS) can be used in optimizing the bandwidth of a network to determine the types of network traffic. The Hierarchical Token Bucket (HTB) method can implement more accurate traffic sharing, with unused bandwidth being optimized by other users. The results of traffic shaping using the HTB method produces an average QoS index of 3.75 and can be categorized Good, compared to before applying traffic shaping which is an average of 2.25 which is categorized as Poor. Based on the test results it can be concluded that the performance of hotspot networks with Traffic Shaping and Quality of Service (QoS) can improve network quality than before.

scholarly journals Network Traffic Shaping for Enhancing Privacy in IoT Systems

2022 ◽  
pp. 1-16
Author(s):  
Sijie Xiong ◽  
Anand D. Sarwate ◽  
Narayan B. Mandayam
Keyword(s):  
Network Traffic ◽  
Traffic Shaping

Spatial Representations as an Emergent Feature of Perceptual Processing

2010 ◽  
Vol 24 (3) ◽  
pp. 161-172 ◽  
Author(s):  
Edmund Wascher ◽  
C. Beste
Keyword(s):  
Common Ground ◽  
Event Related Potentials ◽  
Vertical Axis ◽  
Relevant Information ◽  
Sources Of Information ◽  
Integrated Network ◽  
Perceptual Maps ◽  
Emergent Feature ◽  
Related Potentials ◽  
Selection Of

Spatial selection of relevant information has been proposed to reflect an emergent feature of stimulus processing within an integrated network of perceptual areas. Stimulus-based and intention-based sources of information might converge in a common stage when spatial maps are generated. This approach appears to be inconsistent with the assumption of distinct mechanisms for stimulus-driven and top-down controlled attention. In two experiments, the common ground of stimulus-driven and intention-based attention was tested by means of event-related potentials (ERPs) in the human EEG. In both experiments, the processing of a single transient was compared to the selection of a physically comparable stimulus among distractors. While single transients evoked a spatially sensitive N1, the extraction of relevant information out of a more complex display was reflected in an N2pc. The high similarity of the spatial portion of these two components (Experiment 1), and the replication of this finding for the vertical axis (Experiment 2) indicate that these two ERP components might both reflect the spatial representation of relevant information as derived from the organization of perceptual maps, just at different points in time.

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