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  • Open Access

    ARTICLE

    Enhanced Reliability in Network Function Virtualization by Hybrid Hexagon-Cost Efficient Algorithm

    D. Jeyakumar*, C. Rajabhushanam

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1131-1144, 2022, DOI:10.32604/csse.2022.022480

    Abstract In this,communication world, the Network Function Virtualization concept is utilized for many businesses, small services to virtualize the network node function and to build a block that may connect the chain, communication services. Mainly, Virtualized Network Function Forwarding Graph (VNF-FG) has been used to define the connection between the VNF and to give the best end-to-end services. In the existing method, VNF mapping and backup VNF were proposed but there was no profit and reliability improvement of the backup and mapping of the primary VNF. As a consequence, this paper offers a Hybrid Hexagon-Cost Efficient… More >

  • Open Access

    ARTICLE

    Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT

    Prohim Tam1, Sa Math1, Ahyoung Lee2, Seokhoon Kim1,3,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3319-3335, 2022, DOI:10.32604/cmc.2022.023215

    Abstract Federated learning (FL) activates distributed on-device computation techniques to model a better algorithm performance with the interaction of local model updates and global model distributions in aggregation averaging processes. However, in large-scale heterogeneous Internet of Things (IoT) cellular networks, massive multi-dimensional model update iterations and resource-constrained computation are challenging aspects to be tackled significantly. This paper introduces the system model of converging software-defined networking (SDN) and network functions virtualization (NFV) to enable device/resource abstractions and provide NFV-enabled edge FL (eFL) aggregation servers for advancing automation and controllability. Multi-agent deep Q-networks (MADQNs) target to enforce a… More >

  • Open Access

    ARTICLE

    An Efficient On-Demand Virtual Machine Migration in Cloud Using Common Deployment Model

    C. Saravanakumar1,*, R. Priscilla1, B. Prabha2, A. Kavitha3, M. Prakash4, C. Arun5

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 245-256, 2022, DOI:10.32604/csse.2022.022122

    Abstract Cloud Computing provides various services to the customer in a flexible and reliable manner. Virtual Machines (VM) are created from physical resources of the data center for handling huge number of requests as a task. These tasks are executed in the VM at the data center which needs excess hosts for satisfying the customer request. The VM migration solves this problem by migrating the VM from one host to another host and makes the resources available at any time. This process is carried out based on various algorithms which follow a predefined capacity of source… More >

  • Open Access

    ARTICLE

    Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

    G. R. Sreekanth1,*, S. Ahmed Najat Ahmed2, Marko Sarac3, Ivana Strumberger3, Nebojsa Bacanin3, Miodrag Zivkovic3

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 751-765, 2022, DOI:10.32604/csse.2022.020534

    Abstract Fog computing provides quality of service for cloud infrastructure. As the data computation intensifies, edge computing becomes difficult. Therefore, mobile fog computing is used for reducing traffic and the time for data computation in the network. In previous studies, software-defined networking (SDN) and network functions virtualization (NFV) were used separately in edge computing. Current industrial and academic research is tackling to integrate SDN and NFV in different environments to address the challenges in performance, reliability, and scalability. SDN/NFV is still in development. The traditional Internet of things (IoT) data analysis system is only based on… More >

  • Open Access

    ARTICLE

    Fuzzy-Based Automatic Epileptic Seizure Detection Framework

    Aayesha1, Muhammad Bilal Qureshi2, Muhammad Afzaal3, Muhammad Shuaib Qureshi4, Jeonghwan Gwak5,6,7,8,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5601-5630, 2022, DOI:10.32604/cmc.2022.020348

    Abstract Detection of epileptic seizures on the basis of Electroencephalogram (EEG) recordings is a challenging task due to the complex, non-stationary and non-linear nature of these biomedical signals. In the existing literature, a number of automatic epileptic seizure detection methods have been proposed that extract useful features from EEG segments and classify them using machine learning algorithms. Some characterizing features of epileptic and non-epileptic EEG signals overlap; therefore, it requires that analysis of signals must be performed from diverse perspectives. Few studies analyzed these signals in diverse domains to identify distinguishing characteristics of epileptic EEG signals.… More >

  • Open Access

    ARTICLE

    Extensive Study of Cloud Computing Technologies, Threats and Solutions Prospective

    Mwaffaq Abu-Alhaija1, Nidal M. Turab1,*, AbdelRahman Hamza2

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 225-240, 2022, DOI:10.32604/csse.2022.019547

    Abstract Infrastructure as a Service (IaaS) provides logical separation between data, network, applications and machines from the physical constrains of real machines. IaaS is one of the basis of cloud virtualization. Recently, security issues are also gradually emerging with virtualization of cloud computing. Different security aspects of cloud virtualization will be explored in this research paper, security recognizing potential threats or attacks that exploit these vulnerabilities, and what security measures are used to alleviate such threats. In addition, a discussion of general security requirements and the existing security schemes is also provided. As shown in this… More >

  • Open Access

    ARTICLE

    Fault Management Cyber-Physical Systems in Virtual Storage Model

    Kailash Kumar*, Ahmad Abdullah Aljabr

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3781-3801, 2022, DOI:10.32604/cmc.2022.020510

    Abstract On average, every two years, the amount of data existing globally doubles. Software development will be affected and improved by Cyber-Physical Systems (CPS). The number of problems remained even though developments helped Information Technology experts extract better value from their storage investments. Because of poor interoperability between different vendors and devices, countless numbers of Storage Area Networks were created. Network setup used for data storage includes a complex and rigid arrangement of routers, switch, hosts/servers, storage arrays. We have evaluated the performance of routing protocol Transmission Control Protocol (TCP) and Fibre Channel Protocol (FCP) under More >

  • Open Access

    ARTICLE

    Hyper-Convergence Storage Framework for EcoCloud Correlates

    Nadia Tabassum1, Tahir Alyas2, Muhammad Hamid3,*, Muhammad Saleem4, Saadia Malik5

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1573-1584, 2022, DOI:10.32604/cmc.2022.019389

    Abstract Cloud computing is an emerging domain that is capturing global users from all walks of life—the corporate sector, government sector, and social arena as well. Various cloud providers have offered multiple services and facilities to this audience and the number of providers is increasing very swiftly. This enormous pace is generating the requirement of a comprehensive ecosystem that shall provide a seamless and customized user environment not only to enhance the user experience but also to improve security, availability, accessibility, and latency. Emerging technology is providing robust solutions to many of our problems, the cloud… More >

  • Open Access

    ARTICLE

    Load Balancing Framework for Cross-Region Tasks in Cloud Computing

    Jaleel Nazir1,2, Muhammad Waseem Iqbal1, Tahir Alyas2, Muhammad Hamid3, Muhammad Saleem4, Saadia Malik5, Nadia Tabassum6,*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1479-1490, 2022, DOI:10.32604/cmc.2022.019344

    Abstract Load balancing is a technique for identifying overloaded and underloaded nodes and balancing the load between them. To maximize various performance parameters in cloud computing, researchers suggested various load balancing approaches. To store and access data and services provided by the different service providers through the network over different regions, cloud computing is one of the latest technology systems for both end-users and service providers. The volume of data is increasing due to the pandemic and a significant increase in usage of the internet has also been experienced. Users of the cloud are looking for… More >

  • Open Access

    ARTICLE

    Cloud-IoT Integration: Cloud Service Framework for M2M Communication

    Saadia Malik1, Nadia Tabassum2, Muhammad Saleem3, Tahir Alyas4, Muhammad Hamid5,*, Umer Farooq4

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 471-480, 2022, DOI:10.32604/iasc.2022.019837

    Abstract With the ongoing revolution in the Internet of Things (IoT) and cloud computing has made the potential of every stack holder that is connected through the Internet, to exchange and transfer data. Various users perceive this connection and interaction with devices as very helpful and serviceable in their daily life. However, an improperly configured network system is a soft target to security threats, therefore there is a dire need for a security embedded framework for IoT and cloud communication models is the latest research area. In this paper, different IoT and cloud computing frameworks are… More >

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