{"id":3697,"date":"2018-05-14T07:50:09","date_gmt":"2018-05-14T07:50:09","guid":{"rendered":"http:\/\/network.ee.tsinghua.edu.cn\/niulab\/?p=3697"},"modified":"2020-09-04T07:32:07","modified_gmt":"2020-09-04T07:32:07","slug":"learning-based-task-offloading-for-vehicular-cloud-computing-systems-2","status":"publish","type":"post","link":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/?p=3697","title":{"rendered":"Learning-based task offloading for vehicular cloud computing systems"},"content":{"rendered":"<p><span class=\"paper_subtitle\">LANGUAGE English <\/span><\/p>\n<p><span class=\"paper_subtitle\"><span class=\"paper_subtitle\">SOURCE<\/span>\u00a0 I<strong><em>EEE ICC\u201918<\/em><\/strong>, Kansas City, MO, May 20-24\uff0c2018<\/span><\/p>\n<p><span class=\"paper_subtitle\"><span class=\"paper_subtitle\">Published Date<\/span>:2018-05 <\/span><\/p>\n<p><span class=\"paper_subtitle\">ABSTRACT<\/span><\/p>\n<p>Vehicular cloud computing (VCC) is proposed to<br \/>\neffectively utilize and share the computing and storage resources<br \/>\non vehicles. However, due to the mobility of vehicles, the network<br \/>\ntopology, the wireless channel states and the available computing<br \/>\nresources vary rapidly and are difficult to predict. In this work,<br \/>\nwe develop a learning-based task offloading framework using<br \/>\nthe multi-armed bandit (MAB) theory, which enables vehicles to<br \/>\nlearn the potential task offloading performance of its neighboring<br \/>\nvehicles with excessive computing resources, namely service<br \/>\nvehicles (SeVs), and minimizes the average offloading delay. We<br \/>\npropose an adaptive volatile upper confidence bound (AVUCB)<br \/>\nalgorithm and augment it with load-awareness and occurrenceawareness,<br \/>\nby redesigning the utility function of the classic<br \/>\nMAB algorithms. The proposed AVUCB algorithm can effectively<br \/>\nadapt to the dynamic vehicular environment, balance the tradeoff<br \/>\nbetween exploration and exploitation in the learning process, and<br \/>\nconverge fast to the optimal SeV with theoretical performance<br \/>\nguarantee. Simulations under both synthetic scenario and a<br \/>\nrealistic highway scenario are carried out, showing that the<br \/>\nproposed algorithm achieves close-to-optimal delay performance.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><a href=\"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/wp-content\/uploads\/2018\/10\/\u5b59\u5b87\u7487ICC.pdf\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-117\" title=\"pdf\" src=\"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/wp-content\/uploads\/2010\/08\/pdf.gif\"alt=\"\" width=\"95\" height=\"50\" \/><\/a>Yuxuan Sun, Xueying Guo, Sheng Zhou, Zhiyuan Jiang, Xin Liu, and Zhisheng Niu, Learning-based task offloading for vehicular cloud computing systems, <span class=\"papersource\">IEEE ICC\u201918, Kansas City, MO, May 20-24\uff0c2018<\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[7],"tags":[99],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=\/wp\/v2\/posts\/3697"}],"collection":[{"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3697"}],"version-history":[{"count":0,"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=\/wp\/v2\/posts\/3697\/revisions"}],"wp:attachment":[{"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3697"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3697"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/network.ee.tsinghua.edu.cn\/niulab\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3697"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}