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  • Open Access

    ARTICLE

    Predicting Resource Availability in Local Mobile Crowd Computing Using Convolutional GRU

    Pijush Kanti Dutta Pramanik1, Nilanjan Sinhababu2, Anand Nayyar3,4,*, Mehedi Masud5, Prasenjit Choudhury1

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5199-5212, 2022, DOI:10.32604/cmc.2022.019630 - 11 October 2021

    Abstract In mobile crowd computing (MCC), people’s smart mobile devices (SMDs) are utilized as computing resources. Considering the ever-growing computing capabilities of today’s SMDs, a collection of them can offer significantly high-performance computing services. In a local MCC, the SMDs are typically connected to a local Wi-Fi network. Organizations and institutions can leverage the SMDs available within the campus to form local MCCs to cater to their computing needs without any financial and operational burden. Though it offers an economical and sustainable computing solution, users’ mobility poses a serious issue in the QoS of MCC. To… More >

  • Open Access

    ARTICLE

    On the Application of a Mobile Grid Technology to Computational Fluid Dynamics

    Zhiyuan Cheng1, 2, *, Yulan Wang1, Yingang Wang2, Qiong Nie2

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.4, pp. 357-366, 2019, DOI:10.32604/fdmp.2019.07843

    Abstract On the basis of harmonic mapping theory, a mobile grid technology is applied to computational fluid dynamics (CFD). Starting from the observation that standard fixed-grid techniques often fail in addressing problems with large deformations, we elaborate a new algorithm relying on the software COMSOL Multiphysics 5.3a to solve the coupling of the mobile grid equation and the governing differential equations for fluid flow. The motion of water in a water tank when the tank waggles is simulated. We demonstrate that this technology can be implemented without a significant increase in the computational cost with respect More >

  • Open Access

    ARTICLE

    Recent Advances in Mobile Grid and Cloud Computing

    Sayed Chhattan Shah

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 285-298, 2018, DOI:10.1080/10798587.2017.1280995

    Abstract Grid and cloud computing systems have been extensively used to solve large and complex problems in science and engineering fields. These systems include powerful computing resources that are connected through high-speed networks. Due to the recent advances in mobile computing and networking technologies, it has become feasible to integrate various mobile devices, such as robots, aerial vehicles, sensors, and smart phones, with grid and cloud computing systems. This integration enables the design and development of the next generation of applications by sharing of resources in mobile environments and introduces several challenges due to a dynamic More >

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