{"id":909,"date":"2017-03-29T18:05:22","date_gmt":"2017-03-29T22:05:22","guid":{"rendered":"http:\/\/carleton.ca\/sce\/?p=909"},"modified":"2026-01-23T11:20:12","modified_gmt":"2026-01-23T16:20:12","slug":"seminar-april-7-managing-and-predicting-mobile-network-traffic","status":"publish","type":"post","link":"https:\/\/carleton.ca\/sce\/2017\/seminar-april-7-managing-and-predicting-mobile-network-traffic\/","title":{"rendered":"Seminar April 7: Managing and Predicting Mobile Network Traffic"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        Seminar April 7: Managing and Predicting Mobile Network Traffic\n                    <\/h1>\n                \n                                \n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n<p><strong>Title:<\/strong>&nbsp;An Experimental Investigation of Mobile Network Traffic Data; Management and Prediction Accuracy<\/p>\n\n\n\n<p><strong>Speaker:<\/strong> Prof. Samuel Ajila, Systems and Computer Engineering<\/p>\n\n\n\n<p><strong>Date and Time:<\/strong> Friday April 7, 1:00-2:00 pm<\/p>\n\n\n\n<p><strong>Location:<\/strong>&nbsp;Room 4359 MacKenzie Building<\/p>\n\n\n\n<p><strong>Abstract: &nbsp;<\/strong>The growth in the number of mobile subscriptions has led to a substantial increase in the mobile network bandwidth demand. The mobile network operators need to provide enough resources to meet the huge network demand and provide a satisfactory level of Quality-of-Service (QoS) to their users. This talk presents an application of data analytics techniques to the processing, analysis, and resource prediction of a commercial mobile network traffic dataset. The processing and analysis provide an insight into the network traffic and the resource usage vis-\u00e0-vis the network base stations.<\/p>\n\n\n\n<p>The approach in this research consists of multiple steps &#8211; identification of the relationship between features using correlation analysis, dimensionality reduction using Principal Component Analysis (PCA), application of clustering algorithms (K-Means and Fuzzy K-Means) for categorizing data records, data standardization, and finding the best Time Series algorithm for resource prediction. Prediction accuracy of three algorithms is considered: Multi-Layer Perceptron (MLP), Multi-Layer Perceptron with Weight Decay (MLPWD) and Support Vector Machine (SVM). MLP and MLPWD are variants of Artificial Neural Networks (ANN). The tools used in the research include Apache Hadoop, a software platform for analyzing and processing large datasets; Mahout, a machine learning library built on top of Hadoop; the R package, the WEKA tools; and the additive decomposition of Time Series using STL.<\/p>\n\n\n\n<p><strong>Notes:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bring your lunch if you like, there will be coffee and juices.<\/li>\n\n\n\n<li>Sponsored by the Real-time and Distributed Systems (RADS) Lab<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Title:&nbsp;An Experimental Investigation of Mobile Network Traffic Data; Management and Prediction Accuracy Speaker: Prof. Samuel Ajila, Systems and Computer Engineering Date and Time: Friday April 7, 1:00-2:00 pm Location:&nbsp;Room 4359 MacKenzie Building Abstract: &nbsp;The growth in the number of mobile subscriptions has led to a substantial increase in the mobile network bandwidth demand. The mobile [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[1],"tags":[],"class_list":["post-909","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/909","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/comments?post=909"}],"version-history":[{"count":2,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/909\/revisions"}],"predecessor-version":[{"id":911,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/posts\/909\/revisions\/911"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/media?parent=909"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/categories?post=909"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carleton.ca\/sce\/wp-json\/wp\/v2\/tags?post=909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}