Improving network performance with an integrated priority queue and weighted fair queue scheduling

Assegie, Tsehay Admassu; Bizuneh, Haymanot Derebe

doi:10.11591/ijeecs.v19.i1.pp241-247

Cited by 10 publications

(9 citation statements)

References 13 publications

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“…Here the vc_buf_size is selected as 8 and num_vcs as 8. The performance can be improved using queues like integrated queues or weighted fair queue [22]. Then the traffic pattern is selected.…”

Section: Simulation and Resultsmentioning

confidence: 99%

Congestion aware and game based odd even adaptive routing in network on chip many-core architecture

Doraisamy

Moharir

Arul

2022

IJEECS

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The era of single processors had almost reached a saturation state, and the industry had moved to multi-core processors for the newer generation of many-core architecture. Interconnections between multiple cores with network on chip (NoC) surpass traditional bus architecture for its quality of service (QoS) and other additional services. Seamless communication among the cores is more significant for better performance and the proper utilization of the cores. The rise in the cores count in a semiconductor chip adds the complexity of the communication among cores. Cache misses request and packet transmission’s traffic possibly will reduce the performance of the architecture. A theoretical game-based methodology is proposed to improvise the performance and communication by routing the request packets in the NoC of the many core architectures and the throughput is maximized with reduced latency by using the stag-hunt game (SHG) model. The proposed communication algorithm routes the packets in an adaptive way by detecting the congestion in routers. The SHG based odd-even routing algorithm is adaptive and can divert the packets towards less congested routers using the information gathered about congestion in the system, so that the overall performance of the system in terms of latency and throughput is improved.

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Section: Simulation and Resultsmentioning

confidence: 99%

Congestion aware and game based odd even adaptive routing in network on chip many-core architecture

Doraisamy

Moharir

Arul

2022

IJEECS

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“…Experimental result shows better accuracy is achieved on phishing attack detection using the proposed method. A comparative study conducted on an ensemble classification [10] namely, random forest and xboost model for phishing attack detection shows that an ensemble model performed well on phishing detection as compared to the random forest model.…”

Section: Tsehay Admassu Assegiementioning

confidence: 99%

K-Nearest Neighbor Based URL Identification Model for Phishing Attack Detection

Assegie

2021

IJAINN

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Phishing causes many problems in business industry. The electronic commerce and electronic banking such as mobile banking involves a number of online transaction. In such online transactions, we have to discriminate features related to legitimate and phishing websites in order to ensure security of the online transaction. In this study, we have collected data form phish tank public data repository and proposed K-Nearest Neighbors (KNN) based model for phishing attack detection. The proposed model detects phishing attack through URL classification. The performance of the proposed model is tested empirically and result is analyzed. Experimental result on test set reveals that the model is efficient on phishing attack detection. Furthermore, the K value that gives better accuracy is determined to achieve better performance on phishing attack detection. Overall, the average accuracy of the proposed model is 85.08%.

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“…According to [11], handover is defined as a mechanism that transfers an ongoing call from one cell to another as a user moves through the coverage area of a cellular system. If handover does not occur quickly, the QoS may degenerate below an acceptable level [12]. Authors in [13,14] investigated handover algorithms in LTE high-speed railway networks.…”

Section: Research Workmentioning

confidence: 99%

Performance evaluation of UE-controlled intelligent handover algorithm for natural disaster

Yusof¹,

Azhar²,

Ya’acob³

2020

IJEECS

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<span>This paper proposes a UE-controlled intelligent handover algorithm for natural disaster. In this handover algorithm, two variables known as modified Received Signal Strength (RSSm) and Left over Power (LoP) are identified. The RSSm is an improved formulation from RSS where distance fraction coefficient has been introduced. The fraction coefficient of 0.2 is used where the affected areas is reduced so that the users can receive good signal quality due to its location near to the base station. Meanwhile, the LoP also has been investigated to control power consumption of base station. In this research, 80% RSSm and 20% LoP has been chosen for the proposed handover algorithm as it can maintain good quality of service (QoS) for all users and also can prolong battery life. From the simulation results obtained, the average number of handovers for the proposed handover algorithm outperformed the conventional natural disaster handover algorithm.</span>

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Improving network performance with an integrated priority queue and weighted fair queue scheduling

Cited by 10 publications

References 13 publications

Congestion aware and game based odd even adaptive routing in network on chip many-core architecture

Congestion aware and game based odd even adaptive routing in network on chip many-core architecture

K-Nearest Neighbor Based URL Identification Model for Phishing Attack Detection

Performance evaluation of UE-controlled intelligent handover algorithm for natural disaster

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