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    Implementation of Cloud Computing and Internet of Things (IoT) by Performance Evaluation
    (2024-01-01)
    Sithiyopasakul, Jiran
    ;
    Archevapanich, Tuanjai
    ;
    Sithiyopasakul, Saran
    ;
    Lasakul, Attasit
    ;
    Purahong, Boonchana
    The integration of cloud computing and the Internet of Things (IoT) holds transformative potential across diverse industries. Performance assessment is essential to gauge the quality and efficiency of cloud computing and IoT systems. This paper presents a comprehensive performance evaluation of cloud computing and IoT systems, focusing on three major platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Experimental results encompass various scenarios, including normal operation, heavy load conditions, IoT applications, and scalability testing. The outcomes reveal distinct performance metrics such as response time, throughput, latency, and reliability for each cloud platform.
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    The role of industry 4.0 in sustainable supply chain: Evidence from the textile industry
    (2023-12-01)
    Chatchawanchanchanakij, Petcharaporn
    ;
    Jermsittiparsert, Kittisak
    ;
    Chankoson, Thitinan
    ;
    Waiyawuththanapoom, Phutthiwat
    The objective of this study was to examine the role of Industry 4.0 in the sustainable supply chain (SSC). The relationship between Industry 4.0, data storage, data assessment, performance evaluation, data inquiry and SSC were examined. To achieve the study objective, the mediation effect of data storage, data assessment, performance evaluation and data inquiry between Industry 4.0 and SSC was examined. Employees of textile companies were selected for data collection in Indonesia. Results of the study highlighted that Industry 4.0 had a significant positive effect on SSC. Better implementation of Industry 4.0 showed a positive effect on SSC. In addition to this, Industry 4.0 had a positive effect on data storage, data assessment, performance evaluation and data inquiry. Finally, data storage, data assessment, performance evaluation and data inquiry had a positive effect on SSC.
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    A congestion-control policy on the Internetwork gateway
    (1986-01-01)
    Varakulsiripunth, Ruttikorn
    ;
    Shiratori, Norio
    ;
    Noguchi, Shoichi
    A new approach to congestion-control policy for the interconnected networks system, called "FCP", is proposed. The main purpose of the FCP policy is to avoid the congestion of a network as well as to guarantee the performance of each network up to the desired value. In FCP policy, the traffic that arrives at aateway is restricted by that gateway in compliance with the acceptable rate, called "PAR", corresponding to its destination network. And the PAR corresponding to a network is determined based on the performance requirement of that network. The determination of PAR in FCP policy is presented and analyzed quantitatively in terms of network throughput, whereby the queuing models for a gateway and a network are developed. The result of the analytical evaluation of FCP policy is reduced to the problem of solving simultaneous non-linear equations with several variables and of a higher degree. Therefore, the systematic algorithm for computing PARs in FCP policy is also given. The numerical applications demonstrate the good efficiency of FCP policy to achieve the desired performance for each network. © 1986.