{"id":18058,"date":"2025-06-17T09:15:56","date_gmt":"2025-06-17T09:15:56","guid":{"rendered":"https:\/\/cpur.in\/blog\/?p=18058"},"modified":"2025-06-17T09:18:31","modified_gmt":"2025-06-17T09:18:31","slug":"cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure","status":"publish","type":"post","link":"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/","title":{"rendered":"CPU Student Publishes Breakthrough Research on AI-Optimized Cloud Infrastructure"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"18058\" class=\"elementor elementor-18058\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-26c37fc7 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"26c37fc7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7c850ce9\" data-id=\"7c850ce9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-24a00cae elementor-widget elementor-widget-text-editor\" data-id=\"24a00cae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Showcasing the growing spirit of research and innovation at <\/span><a href=\"https:\/\/cpur.in\/\"><span style=\"font-weight: 400;\">Career Point University<\/span><\/a><span style=\"font-weight: 400;\">, Keshav Sharma, a student of the Integrated B.Tech\u2013M.Tech Computer Science and Engineering program has successfully published a research paper in the prestigious International Journal of Multidisciplinary Research in Science, Engineering and Technology (IJMRSET). His work, titled \u201cIntegrating Machine Learning for Dynamic Resource Allocation and Failure Prediction in Containerized Cloud CI\/CD Pipelines,\u201d presents a novel approach to enhancing the efficiency of cloud-based software development systems through machine learning.<\/span><\/p><p><span style=\"font-weight: 400;\">The research, completed under the supervision of Mr. Deepak Mahawar, explores the application of machine learning models to improve efficiency and reliability in cloud-based CI\/CD environments. Using techniques such as Random Forest and SVM, the study introduces a hybrid framework that integrates predictive analytics with Kubernetes for real-time failure detection and intelligent resource management.<\/span><\/p><p><span style=\"font-weight: 400;\">Performance testing revealed impressive results, including a 60% reduction in unplanned pipeline interruptions and a 40% improvement in resource utilization, making the research highly relevant to modern DevOps and cloud infrastructure practices.<\/span><\/p><p><span style=\"font-weight: 400;\">This accomplishment underscores the university\u2019s commitment to nurturing research talent and supporting innovations that address real-world challenges. It also highlights the <\/span><a href=\"https:\/\/cpur.in\/engineering-and-technology\/\"><span style=\"font-weight: 400;\">School of Computer Science &amp; Engineering\u2019s<\/span><\/a><span style=\"font-weight: 400;\"> ongoing efforts to bridge academic learning with evolving industry needs.<\/span><\/p><p><span style=\"font-weight: 400;\">Career Point University congratulates Keshav Sharma and his mentor for this impactful contribution and reaffirms its focus on fostering a strong research culture across all academic disciplines.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Showcasing the growing spirit of research and innovation at Career Point University, Keshav Sharma, a student of the Integrated B.Tech\u2013M.Tech Computer Science and Engineering program has successfully published a research paper in the prestigious International Journal of Multidisciplinary Research in Science, Engineering and Technology (IJMRSET). His work, titled \u201cIntegrating Machine Learning for Dynamic Resource Allocation and Failure Prediction in Containerized Cloud CI\/CD Pipelines,\u201d presents a novel approach to enhancing the efficiency of cloud-based software development systems through machine learning. The research, completed under the supervision of Mr. Deepak Mahawar, explores the application of machine learning models to improve efficiency and reliability in cloud-based CI\/CD environments. Using techniques such as Random Forest and SVM, the study introduces a hybrid framework that integrates predictive analytics with Kubernetes for real-time failure detection and intelligent resource management. Performance testing revealed impressive results, including a 60% reduction in unplanned pipeline interruptions and a 40% improvement in resource utilization, making the research highly relevant to modern DevOps and cloud infrastructure practices. This accomplishment underscores the university\u2019s commitment to nurturing research talent and supporting innovations that address real-world challenges. It also highlights the School of Computer Science &amp; Engineering\u2019s ongoing efforts to bridge academic learning with evolving industry needs. Career Point University congratulates Keshav Sharma and his mentor for this impactful contribution and reaffirms its focus on fostering a strong research culture across all academic disciplines.<\/p>\n","protected":false},"author":1,"featured_media":18059,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[443],"tags":[],"class_list":["post-18058","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-academic"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.13 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>CPU Student Publishes Breakthrough Research on AI-Optimized Cloud Infrastructure - Career Point University Kota Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CPU Student Publishes Breakthrough Research on AI-Optimized Cloud Infrastructure - Career Point University Kota Blog\" \/>\n<meta property=\"og:description\" content=\"Showcasing the growing spirit of research and innovation at Career Point University, Keshav Sharma, a student of the Integrated B.Tech\u2013M.Tech Computer Science and Engineering program has successfully published a research paper in the prestigious International Journal of Multidisciplinary Research in Science, Engineering and Technology (IJMRSET). His work, titled \u201cIntegrating Machine Learning for Dynamic Resource Allocation and Failure Prediction in Containerized Cloud CI\/CD Pipelines,\u201d presents a novel approach to enhancing the efficiency of cloud-based software development systems through machine learning. The research, completed under the supervision of Mr. Deepak Mahawar, explores the application of machine learning models to improve efficiency and reliability in cloud-based CI\/CD environments. Using techniques such as Random Forest and SVM, the study introduces a hybrid framework that integrates predictive analytics with Kubernetes for real-time failure detection and intelligent resource management. Performance testing revealed impressive results, including a 60% reduction in unplanned pipeline interruptions and a 40% improvement in resource utilization, making the research highly relevant to modern DevOps and cloud infrastructure practices. This accomplishment underscores the university\u2019s commitment to nurturing research talent and supporting innovations that address real-world challenges. It also highlights the School of Computer Science &amp; Engineering\u2019s ongoing efforts to bridge academic learning with evolving industry needs. Career Point University congratulates Keshav Sharma and his mentor for this impactful contribution and reaffirms its focus on fostering a strong research culture across all academic disciplines.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/\" \/>\n<meta property=\"og:site_name\" content=\"Career Point University Kota Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/cpurajasthan\" \/>\n<meta property=\"article:published_time\" content=\"2025-06-17T09:15:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-17T09:18:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cpur.in\/blog\/wp-content\/uploads\/2025\/06\/Python-and-Machine-Learning-Bootcamp-at-Career-Point-University-2.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1240\" \/>\n\t<meta property=\"og:image:height\" content=\"540\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@careerpointltd\" \/>\n<meta name=\"twitter:site\" content=\"@careerpointltd\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/cpur.in\/blog\/#\/schema\/person\/72afc42f00a754b6fc68e032226a3268\"},\"headline\":\"CPU Student Publishes Breakthrough Research on AI-Optimized Cloud Infrastructure\",\"datePublished\":\"2025-06-17T09:15:56+00:00\",\"dateModified\":\"2025-06-17T09:18:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/\"},\"wordCount\":243,\"publisher\":{\"@id\":\"https:\/\/cpur.in\/blog\/#organization\"},\"articleSection\":[\"Academic\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/\",\"url\":\"https:\/\/cpur.in\/blog\/cpu-student-publishes-breakthrough-research-on-ai-optimized-cloud-infrastructure\/\",\"name\":\"CPU Student Publishes Breakthrough Research on AI-Optimized Cloud Infrastructure - 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