K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm
In recent days, the need to provide reliable data transmission over Internet traffics or cellular mobile systems becomes very important. Transmission Control Protocol (TCP) represents the prevailing protocol that provide reliability to data transferring in all end-to-end data stream services on the...
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| Format: | Article |
| Language: | English |
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Tikrit University
2023-02-01
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| Series: | Tikrit Journal of Pure Science |
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| Online Access: | https://tjpsj.org/index.php/tjps/article/view/884 |
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| _version_ | 1839631354371768320 |
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| author | Maaeda Mohsin Rashid |
| author_facet | Maaeda Mohsin Rashid |
| author_sort | Maaeda Mohsin Rashid |
| collection | DOAJ |
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In recent days, the need to provide reliable data transmission over Internet traffics or cellular mobile systems becomes very important. Transmission Control Protocol (TCP) represents the prevailing protocol that provide reliability to data transferring in all end-to-end data stream services on the Internet and many of new networks. TCP congestion control has become the key factor manipulating the behavior and performance of the networks. TCP sender can regulates the size of the congestion window (CWND) using the congestion control mechanism and TCP dynamically adjust the window size depending on the packets acknowledgment (ACK) or by indicates the packets losses when occur. TCP congestion control includes two main phases, slow-start and congestion avoidance and these two phases even work separately, but the combination of them controls CWND and the packet injection to the network pipe. Congestion avoidance and slow-start are liberated mechanisms and using unlike objectives, but if the congestion happens, they are executed together. This article provides an efficient and reliable congestion avoidance mechanism to enhancing the TCP performance in large-bandwidth low-latency networks. The proposed mechanism also includes a facility to send multiple flows over same connection with a novel technique to estimate the number of available flows dynamically, where the all experiments to approving the proposed techniques are performed over the network simulation NS-2.
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| format | Article |
| id | doaj-art-49a0693b51f04cc99c06347a18d7d651 |
| institution | Matheson Library |
| issn | 1813-1662 2415-1726 |
| language | English |
| publishDate | 2023-02-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Pure Science |
| spelling | doaj-art-49a0693b51f04cc99c06347a18d7d6512025-07-11T16:05:59ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262023-02-0122910.25130/tjps.v22i9.884K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm Maaeda Mohsin Rashid In recent days, the need to provide reliable data transmission over Internet traffics or cellular mobile systems becomes very important. Transmission Control Protocol (TCP) represents the prevailing protocol that provide reliability to data transferring in all end-to-end data stream services on the Internet and many of new networks. TCP congestion control has become the key factor manipulating the behavior and performance of the networks. TCP sender can regulates the size of the congestion window (CWND) using the congestion control mechanism and TCP dynamically adjust the window size depending on the packets acknowledgment (ACK) or by indicates the packets losses when occur. TCP congestion control includes two main phases, slow-start and congestion avoidance and these two phases even work separately, but the combination of them controls CWND and the packet injection to the network pipe. Congestion avoidance and slow-start are liberated mechanisms and using unlike objectives, but if the congestion happens, they are executed together. This article provides an efficient and reliable congestion avoidance mechanism to enhancing the TCP performance in large-bandwidth low-latency networks. The proposed mechanism also includes a facility to send multiple flows over same connection with a novel technique to estimate the number of available flows dynamically, where the all experiments to approving the proposed techniques are performed over the network simulation NS-2. https://tjpsj.org/index.php/tjps/article/view/884TCPcongestion controlCWND |
| spellingShingle | Maaeda Mohsin Rashid K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm Tikrit Journal of Pure Science TCP congestion control CWND |
| title | K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm |
| title_full | K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm |
| title_fullStr | K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm |
| title_full_unstemmed | K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm |
| title_short | K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm |
| title_sort | k means clustering unsupervised classification k nn euclidean distance genetic algorithm |
| topic | TCP congestion control CWND |
| url | https://tjpsj.org/index.php/tjps/article/view/884 |
| work_keys_str_mv | AT maaedamohsinrashid kmeansclusteringunsupervisedclassificationknneuclideandistancegeneticalgorithm |