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176 articles for “network architecture”
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Research ArticleOpen accessIn the abstractA Forager Bee's Intelligence Inspired Dynamic Queue Scheduling for the Internet TrafficY. Suresh, S. Arumugam, M. A. BhagyaveniProblem statement: In the present evolution of large scale internet communication, per flow control scheme faces scalability issue due to tremendous number of flows. The aggregation based approaches such as differentiated architecture relieve the storage of state of flows in core router. TCP is the dominating protocol that carries majority of the total internet traffic. Recent internet traffic measurement shows … …Journal of Computer Science, Vol. 8, Issue 5 · 22 Feb 2012 · 7,014 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Power Analysis of Precomputation Based Content Addressable MemoryM. Arun, A. KrishnanProblem statement: In this study we discus about Signature Detection Technique (SDT) used in Network Intrusion Detection System (NIDS). Design of SDT using Content Addressable Memory (CAM) is discussed. Approach: Two novel architectures, XOR and ones count based Pre computation CAM architectures are proposed and implemented in third party back end tool with 0.18 mm technology, power consumptions are compared. … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,601 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Robust Byzantine Fault-Tolerant Replication Technique for Peer-to-Peer Content DistributionAyyasamy Sellappan, Sivanandam NatarajanProblem statement: In peer-to-peer networks, Byzantine fault tolerance refers to the capability of a system to tolerate Byzantine faults. It can be achieved by replicating the server and by ensuring all server replicas reach an agreement on the input despite Byzantine faulty replicas and clients. Since malicious attacks and software errors can cause faulty nodes to exhibit Byzantine behavior, Byzantine-fault-tolerant … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,059 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Resonance Theory 1 (ART1) Neural Network Based Horizontal and Vertical Classification of 0-9 Digits RecognitionMbaitiga ZacharieThis study describes the Adaptive Resonance Theory 1 (ART1), an efficient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART neural network architecture for horizontal and vertical classification of 0-9 digits recognition. In our approach the ART1 model can self-organize in real time producing stable and clear recognition while getting input patterns beyond those originally … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,353 accessesView PDFCite
Research ArticleOpen accessIn the abstractQoS Based IPTV over LTE-WLAN Heterogeneous NetworksMohamed Matoui, Noureddine Moumkine, Abdellah AdibHeterogeneous networks required IP Multimedia Subsystem (IMS) technologies to perform their control signaling and improve their communication services. However, the highest IPTV-QoS cannot be performed using IMS only as it cannot differentiate between IPTV video components. In this paper, we implement our IPTV-flow label technique in LTE-WLAN heterogeneous systems that used to improve QoS by providing IPTV sub traffic priority … …Journal of Computer Science, Vol. 15, Issue 4 · 19 Apr 2019 · 7,637 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Holistic Approach to Security, Availability and Reliability in Fog ComputingAbdulrahman Alshehri, Hazzaa Alshareef, Samah Alhazmi et al.Abdulkareem, K. H., Mohammed, M. A., Gunasekaran, S. S., Al-Mhiqani, M. N., Mutlag, A. A., Mostafa, S. A., Ali, N. S., & Ibrahim, D. A. (2019). A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. IEEE Access, 7, 153123–153140. https://doi.org/10.1109/access.2019.2947542 Alrawais, A., Alhothaily, A., Hu, C., & Cheng, X. (2017). Fog Computing for the Internet … …Journal of Computer Science, Vol. 20, Issue 6 · 20 Mar 2024 · 6,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractLONG-REACH OPTICAL ACCESS NETWORKS (LR-OANS): A PROMISING CANDIDATE FOR FUTURE OPTICAL ACCESSI.M.M. Mohamed, M.S. Ab-RahmanThe ever-increasing demand for broader bandwidth per user, which results from the continuous development of new bandwidth-hungry services and applications, creates the motivation to upgrade the currently deployed Time-Division Multiplexing Passive Optical Networks (TDM-PONs) to Next-Generation Optical Access Networks (NG-OANs). Beside the need for more bandwidth per user, a further extension in the range and an increase in the split … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 15 Aug 2014 · 6,708 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Cost Enabled Cluster Based Multipath Routing Algorithm for Mobile Ad-Hoc NetworksM. Gomathi, G. RajendranProblem statement: This article proposes the selection of best paths in Mobile Ad Hoc Network (MANET) based on multipath routing with fuzzy cost in respect of the Fuzzy Cost Enabled Cluster based Routing (FCECR). Approach: By implementing FCECR, we have made changes to reduce the cost and route discovery overhead for the selection of best path from multipath routing from … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric ModelsAbdel K.M. Baareh, Alaa F. Sheta, Khaled A. KhnaifesForecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN) became quite successful tool to handle time series modeling problem. This paper … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,968 accessesView PDFCite
InvestigationOpen accessIn the abstractBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,710 accessesView PDFCite