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  • Open Access

    ARTICLE

    Artificial Intelligence Based Reliable Load Balancing Framework in Software-Defined Networks

    Mohammad Riyaz Belgaum1, Fuead Ali1, Zainab Alansari2, Shahrulniza Musa1,*, Muhammad Mansoor Alam1,3, M. S. Mazliham4

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 251-266, 2022, DOI:10.32604/cmc.2022.018211 - 07 September 2021

    Abstract Software-defined networking (SDN) plays a critical role in transforming networking from traditional to intelligent networking. The increasing demand for services from cloud users has increased the load on the network. An efficient system must handle various loads and increasing needs representing the relationships and dependence of businesses on automated measurement systems and guarantee the quality of service (QoS). The multiple paths from source to destination give a scope to select an optimal path by maintaining an equilibrium of load using some best algorithms. Moreover, the requests need to be transferred to reliable network elements. To… More >

  • Open Access

    ARTICLE

    Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking

    Shabir Ahmad1, Faisal Jamil2, Abid Ali3, Ehtisham Khan4, Muhammad Ibrahim2, Taeg Keun Whangbo1,*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1363-1379, 2022, DOI:10.32604/cmc.2022.017715 - 07 September 2021

    Abstract The concept of Software-Defined Networking (SDN) evolves to overcome the drawbacks of the traditional networks with Internet Protocol (I.P.) packets sending and packets handling. The SDN structure is one of the critical advantages of efficiently separating the data plane from the control plane to manage the network configurations and network management. Whenever there are multiple sending devices inside the SDN network, the OpenFlow switches are programmed to handle the limited number of requests for their interface. When the recommendations are exceeded from the specific threshold, the load on the switches also increases. This research article… More >

  • Open Access

    ARTICLE

    ECC: Edge Collaborative Caching Strategy for Differentiated Services Load-Balancing

    Fang Liu1,*, Zhenyuan Zhang2, Zunfu Wang1, Yuting Xing3

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2045-2060, 2021, DOI:10.32604/cmc.2021.018303 - 21 July 2021

    Abstract Due to the explosion of network data traffic and IoT devices, edge servers are overloaded and slow to respond to the massive volume of online requests. A large number of studies have shown that edge caching can solve this problem effectively. This paper proposes a distributed edge collaborative caching mechanism for Internet online request services scenario. It solves the problem of large average access delay caused by unbalanced load of edge servers, meets users’ differentiated service demands and improves user experience. In particular, the edge cache node selection algorithm is optimized, and a novel edge More >

  • Open Access

    ARTICLE

    Enabling Reachability Across Multiple Domains Without Controller Synchronization in SDN

    Nauman Khan1,2, Rosli Bin Salleh1,*, Ihsan Ali1, Zahid Khan3, Noman Mazhar1, Roobaea Alroobaea4, Fahad Almansour5, Usman Ali1

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 945-965, 2021, DOI:10.32604/cmc.2021.017394 - 04 June 2021

    Abstract Software-defined networking (SDN) makes network agile and flexible due to its programmable approach. An extensive network has multiple domains in SDN for the scalability and performance of the network. However, the inter-domain link is also crucial for the stability of the entire network on the data plane layer. More than one inter-domain connection enhances the scalability of the data plane layer. However, it faces a reachability problem with the principal root, which causes forwarding loops and packet drops in the network, thereby degrading network performance. The proposed solution is a multiple controller architecture; however, this More >

  • Open Access

    ARTICLE

    Exploration on the Load Balancing Technique for Platform of Internet of Things

    Donglei Lu1, Dongjie Zhu2,*, Yundong Sun3, Haiwen Du3, Xiaofang Li4, Rongning Qu4, Yansong Wang3, Ning Cao1, Helen Min Zhou5

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 339-350, 2021, DOI:10.32604/csse.2021.016683 - 19 May 2021

    Abstract In recent years, the Internet of Things technology has developed rapidly, and smart Internet of Things devices have also been widely popularized. A large amount of data is generated every moment. Now we are in the era of big data in the Internet of Things. The rapid growth of massive data has brought great challenges to storage technology, which cannot be well coped with by traditional storage technology. The demand for massive data storage has given birth to cloud storage technology. Load balancing technology plays an important role in improving the performance and resource utilization… More >

  • Open Access

    ARTICLE

    Robust Cluster-Based Routing Protocol for IoT-Assisted Smart Devices in WSN

    Maryam Shafiq1, Humaira Ashraf1, Ata Ullah2, Mehedi Masud3, Muhammad Azeem2, N. Z. Jhanjhi4,*, Mamoona Humayun5

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3505-3521, 2021, DOI:10.32604/cmc.2021.015533 - 01 March 2021

    Abstract The Internet of Things (IoT) is gaining attention because of its broad applicability, especially by integrating smart devices for massive communication during sensing tasks. IoT-assisted Wireless Sensor Networks (WSN) are suitable for various applications like industrial monitoring, agriculture, and transportation. In this regard, routing is challenging to find an efficient path using smart devices for transmitting the packets towards big data repositories while ensuring efficient energy utilization. This paper presents the Robust Cluster Based Routing Protocol (RCBRP) to identify the routing paths where less energy is consumed to enhances the network lifespan. The scheme is… More >

  • Open Access

    ARTICLE

    Load Balancing Algorithm for Migrating Switches in Software-Defined Vehicular Networks

    Himanshi Babbar1, Shalli Rani1,*, Mehedi Masud2, Sahil Verma3, Divya Anand4, Nz Jhanjhi5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1301-1316, 2021, DOI:10.32604/cmc.2021.014627 - 12 January 2021

    Abstract In Software-Defined Networks (SDN), the divergence of the control interface from the data plane provides a unique platform to develop a programmable and flexible network. A single controller, due to heavy load traffic triggered by different intelligent devices can not handle due to it’s restricted capability. To manage this, it is necessary to implement multiple controllers on the control plane to achieve quality network performance and robustness. The flow of data through the multiple controllers also varies, resulting in an unequal distribution of load between different controllers. One major drawback of the multiple controllers is… More >

  • Open Access

    ARTICLE

    Intelligent Cloud Based Load Balancing System Empowered with Fuzzy Logic

    Atif Ishaq Khan1, Syed Asad Raza Kazmi1, Ayesha Atta1,*, Muhammad Faheem Mushtaq2, Muhammad Idrees3, Ilyas Fakir1, Muhammad Safyan1, Muhammad Adnan Khan4, Awais Qasim1

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 519-528, 2021, DOI:10.32604/cmc.2021.013865 - 12 January 2021

    Abstract Cloud computing is seeking attention as a new computing paradigm to handle operations more efficiently and cost-effectively. Cloud computing uses dynamic resource provisioning and de-provisioning in a virtualized environment. The load on the cloud data centers is growing day by day due to the rapid growth in cloud computing demand. Elasticity in cloud computing is one of the fundamental properties, and elastic load balancing automatically distributes incoming load to multiple virtual machines. This work is aimed to introduce efficient resource provisioning and de-provisioning for better load balancing. In this article, a model is proposed in More >

  • Open Access

    ARTICLE

    An Adaptive Link-Level Recovery Mechanism for Electric Power IoT Based on LoRaWAN

    Yuqi Wang1, Sujie Shao1,*, Shaoyong Guo1, Ruijun Chai1, Feng Qi1, Michel Kadoch2

    Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 287-298, 2021, DOI:10.32604/iasc.2021.013543 - 07 January 2021

    Abstract Electric power Internet of Things (IoT) is a network system that can meet multiple requirements of the power grid, such as infrastructure, environment recognition, interconnection, perception and control. Long Range Radio Wide Area Network (LoRaWAN) with the advantages of ultra-long transmission and ultra-low power consumption, becomes the most widely used protocol in the electric power IoT. However, its extremely simple star topology also leads to several problems. When most of terminals depend on one or several gateways for communication, the gateways with heavier communication tasks have poorer communication quality. The load of each gateway is… More >

  • Open Access

    ARTICLE

    Research on Real-Time High Reliable Network File Distribution Technology

    Chenglong Li1, Peipeng Liu1, Hewei Yu1, *, Mengmeng Ge2, Xiangzhan Yu2, Yi Xin2, Yuhang Wang3, Dongyu Zhang4

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1739-1752, 2020, DOI:10.32604/cmc.2020.09019 - 20 August 2020

    Abstract The rapid development of Internet of Things (IoT) technology has made previously unavailable data available, and applications can take advantage of device data for people to visualize, explore, and build complex analyses. As the size of the network and the number of network users continue to increase, network requests tend to aggregate on a small number of network resources, which results in uneven load on network requests. Real-time, highly reliable network file distribution technology is of great importance in the Internet of Things. This paper studies real-time and highly reliable file distribution technology for large-scale More >

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