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  • Open Access

    REVIEW

    A Review of Energy-Related Cost Issues and Prediction Models in Cloud Computing Environments

    Mohammad Aldossary*

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 353-368, 2021, DOI:10.32604/csse.2021.014974

    Abstract With the expansion of cloud computing, optimizing the energy efficiency and cost of the cloud paradigm is considered significantly important, since it directly affects providers’ revenue and customers’ payment. Thus, providing prediction information of the cloud services can be very beneficial for the service providers, as they need to carefully predict their business growths and efficiently manage their resources. To optimize the use of cloud services, predictive mechanisms can be applied to improve resource utilization and reduce energy-related costs. However, such mechanisms need to be provided with energy awareness not only at the level of the Physical Machine (PM) but… More >

  • Open Access

    ARTICLE

    Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment

    Shumaila Shahzadi1, Fahad Ahmad1,*, Asma Basharat1, Madallah Alruwaili2, Saad Alanazi2, Mamoona Humayun2, Muhammad Rizwan1, Shahid Naseem3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2723-2749, 2021, DOI:10.32604/cmc.2021.014594

    Abstract With the rising demand for data access, network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for access. To increase efficacy of Software Defined Network (SDN) and Network Function Virtualization (NFV) framework, we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency, reduce network performance, and increase maintenance cost. The existing frameworks lack in security, and computer systems face few abnormalities, which prompts the need for different recognition and mitigation methods to keep the system in the… More >

  • Open Access

    ARTICLE

    A Hybrid Virtual Cloud Learning Model during the COVID-19 Pandemic

    Shaymaa E. Sorour1,*, Tamer M. Kamel2, Hanan E. Abdelkader3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2671-2689, 2021, DOI:10.32604/cmc.2021.014395

    Abstract The COVID-19 pandemic has affected the educational systems worldwide, leading to the near-total closures of schools, universities, and colleges. Universities need to adapt to changes to face this crisis without negatively affecting students’ performance. Accordingly, the purpose of this study is to identify and help solve to critical challenges and factors that influence the e-learning system for Computer Maintenance courses during the COVID-19 pandemic. The paper examines the effect of a hybrid modeling approach that uses Cloud Computing Services (CCS) and Virtual Reality (VR) in a Virtual Cloud Learning Environment (VCLE) system. The VCLE system provides students with various utilities… More >

  • Open Access

    ARTICLE

    Metaheuristic Clustering Protocol for Healthcare Data Collection in Mobile Wireless Multimedia Sensor Networks

    G. Kadiravan1, P. Sujatha1, T. Asvany1, R. Punithavathi2, Mohamed Elhoseny3, Irina V. Pustokhina4, Denis A. Pustokhin5, K. Shankar6,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3215-3231, 2021, DOI:10.32604/cmc.2021.013034

    Abstract Nowadays, healthcare applications necessitate maximum volume of medical data to be fed to help the physicians, academicians, pathologists, doctors and other healthcare professionals. Advancements in the domain of Wireless Sensor Networks (WSN) and Multimedia Wireless Sensor Networks (MWSN) are tremendous. M-WMSN is an advanced form of conventional Wireless Sensor Networks (WSN) to networks that use multimedia devices. When compared with traditional WSN, the quantity of data transmission in M-WMSN is significantly high due to the presence of multimedia content. Hence, clustering techniques are deployed to achieve low amount of energy utilization. The current research work aims at introducing a new… More >

  • Open Access

    ARTICLE

    The Controllability of Quantum Correlation under Geometry and Entropy Discords

    Xiaoyu Li1, Yiming Huang1, Qinsheng Zhu2,*, Xusheng Liu3, Desheng Zheng4

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3107-3120, 2021, DOI:10.32604/cmc.2021.012698

    Abstract Quantum correlation plays a critical role in the maintenance of quantum information processing and nanometer device design. In the past two decades, several quantitative methods had been proposed to study the quantum correlation of certain open quantum systems, including the geometry and entropy style discord methods. However, there are differences among these quantification methods, which promote a deep understanding of the quantum correlation. In this paper, a novel time-dependent three environmental open system model is established to study the quantum correlation. This system model interacts with two independent spin-environments (two spin-environments are connected to the other spin-environment) respectively. We have… More >

  • Open Access

    ARTICLE

    A Pursuit of Sustainable Privacy Protection in Big Data Environment by an Optimized Clustered-Purpose Based Algorithm

    Norjihan Binti Abdul Ghani1, Muneer Ahmad1, Zahra Mahmoud1, Raja Majid Mehmood2,*

    Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1217-1231, 2020, DOI:10.32604/iasc.2020.011731

    Abstract Achievement of sustainable privacy preservation is mostly very challenging in a resource shared computer environment. This challenge demands a dedicated focus on the exponential growth of big data. Despite the existence of specific privacy preservation policies at the organizational level, still sustainable protection of a user’s data at various levels, i.e., data collection, utilization, reuse, and disclosure, etc. have not been implemented to its spirit. For every personal data being collected and used, organizations must ensure that they are complying with their defined obligations. We are proposing a new clustered-purpose based access control for users’ sustainable data privacy protection in… More >

  • Open Access

    REVIEW

    Melatonin and its protective role against male reproductive toxicity induced by heavy metals, environmental pollutants, and chemotherapy: A review

    TIECHENG SUN1,#, LINGLI SONG1,#, JING MA2,#, HONG YU1, SHANJIE ZHOU1, SHUSONG WANG2, LI TIAN1,3,*

    BIOCELL, Vol.44, No.4, pp. 479-485, 2020, DOI:10.32604/biocell.2020.011675

    Abstract Melatonin, as a ubiquitous indoleamine hormone, is synthesized primarily by the pineal gland. It has diverse biological effects through quite complex mechanisms. More recently, studies have focused on the mechanism of melatonin in anti-reproductive toxicity/damage. Since melatonin possesses strong antioxidant and anti-apoptotic properties, researchers have examined its potential role in protecting against male reproductive toxicity/damage, which may be induced by chemotherapy or environmental toxicants and can lead to male infertility. In this article, recent progress regarding the protective effects of melatonin on male reproductive toxicity/damage is reviewed. More >

  • Open Access

    ARTICLE

    Microenvironment and related genes predict outcomes of patients with cervical cancer: evidence from TCGA and bioinformatic analysis

    WENXI GAO1,2,#, QIANQIAN MA3,#, CHENYU TANG2,#, YUELI ZHAN4, YINONG DUAN2, HUIHUA NI5,*, YUNZHAO XU5,6,*

    BIOCELL, Vol.44, No.4, pp. 597-605, 2020, DOI:10.32604/biocell.2020.011328

    Abstract Cervical cancer (CESC) is one of the most common cancers and affects the female genital tract. Consistent HPV infection status has been determined to be a vital cause of tumorigenesis. HPV infection may induce changes to the immune system and limit the host’s immune response. Immunotherapy is therefore essential to improving the overall survival of both locally advanced and recurrent CESC patients. Using 304 relevant samples from TCGA, we assessed immune cell function in CESC patients to better understand the status of both tumor micro-environment cells and immune cells in CESC. Functional enrichment analysis, pathway enrichment analysis, and PPI network… More >

  • Open Access

    ARTICLE

    An Analysis of the Operation Mechanism of Chemical Industry Park Ecosystem Based on Theory of Ecological Organization

    Bilin Xu, Mei Han*

    Energy Engineering, Vol.118, No.2, pp. 323-339, 2021, DOI:10.32604/EE.2021.013384

    Abstract Based on the theory of ecological organization, this paper analyzes the operation mechanism of chemical industry park (CIP) ecosystem by means of dynamic simulation. The research shows that the CIP ecosystem is a complex ecological system whose operation mechanism includes two levels, namely individual enterprises and ecosystem. At the level of individual enterprise, there are competition, symbiosis, invasion and other interactions between enterprises in the CIP ecosystem. Through the pre-determined judgment of the competition effect coefficient and the symbiosis effect coefficient, we calculate how the enterprises influence each other, and then generate their respective operation paths, and finally realize the… More >

  • Open Access

    ARTICLE

    Demand Responsive Market Decision-Makings and Electricity Pricing Scheme Design in Low-Carbon Energy System Environment

    Hongming Yang1,*, Qian Yu1, Xiao Huang1, Ben Niu2, Min Qi3

    Energy Engineering, Vol.118, No.2, pp. 285-301, 2021, DOI:10.32604/EE.2021.013734

    Abstract The two-way interaction between smart grid and customers will continuously play an important role in enhancing the overall efficiency of the green and low-carbon electric power industry and properly accommodating intermittent renewable energy resources. Thus far, the existing electricity pricing mechanisms hardly match the technical properties of smart grid; neither can they facilitate increasing end users participating in the electricity market. In this paper, several relevant models and novel methods are proposed for pricing scheme design as well as to achieve optimal decision-makings for market participants, in which the mechanisms behind are compatible with demand response operation of end users… More >

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