{"id":1441,"date":"2022-02-15T14:21:55","date_gmt":"2022-02-15T12:21:55","guid":{"rendered":"https:\/\/mobilecloud.aalto.fi\/?page_id=1441"},"modified":"2023-11-07T17:30:21","modified_gmt":"2023-11-07T15:30:21","slug":"datafog-a-data-driven-platform-for-capacity-and-resource-management-in-vehicular-fog-computation","status":"publish","type":"page","link":"https:\/\/mobilecloud.aalto.fi\/?page_id=1441","title":{"rendered":"DataFog: A data-driven platform for capacity and resource management in vehicular fog computation"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><a href=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2022\/02\/VFC.png\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2022\/02\/VFC.png\" alt=\"\" class=\"wp-image-1454\" width=\"329\" height=\"250\" srcset=\"https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2022\/02\/VFC.png 461w, https:\/\/mobilecloud.aalto.fi\/wp-content\/uploads\/2022\/02\/VFC-300x228.png 300w\" sizes=\"(max-width: 329px) 100vw, 329px\" \/><\/a><\/figure><\/div>\n\n\n\n<p><strong>Research Topics<\/strong><\/p>\n\n\n\n<ul><li>Algorithms for real-time task allocation in vehicular fog computing environments<\/li><li>Data-driven city-wide capacity planning for vehicular fog computing<\/li><li>Edge-powered cooperative driving in 5G networks<\/li><\/ul>\n\n\n\n<p><strong>Project Team Members<\/strong><\/p>\n\n\n\n<ul><li>Dr. Ozgur Akgul<\/li><li>Wencan Mao (doctoral student, graduated in 2023)<\/li><li>Aziza Zhanabatyrova (doctoral student, expected to graduate in 2024)<\/li><li>Xuebing Li (doctoral student, expected to graduate in 2024)<\/li><li>Dr. Byungjin Cho<\/li><li>Dr. Chao Zhu (doctoral student, graduated in 2020)<\/li><li>Dr. Marius Noreikis (doctoral student, graduated in 2019)<\/li><\/ul>\n\n\n\n<p><strong>Research Collaborations<\/strong><\/p>\n\n\n\n<ul><li>Prof. <a href=\"https:\/\/sites.google.com\/site\/rweixiong\/\" data-type=\"URL\" data-id=\"https:\/\/sites.google.com\/site\/rweixiong\/\">Weixiong Rao<\/a><\/li><li>Prof. <a href=\"https:\/\/chenyang03.wordpress.com\/projects\/\" data-type=\"URL\" data-id=\"https:\/\/chenyang03.wordpress.com\/projects\/\">Yang Chen<\/a><\/li><li>Dr. Hui Gao<\/li><li>Prof. <a href=\"https:\/\/people.aalto.fi\/antti.yla-jaaski\" data-type=\"URL\" data-id=\"https:\/\/people.aalto.fi\/antti.yla-jaaski\">Antti Yl\u00e4-J\u00e4\u00e4ski<\/a><\/li><li>Dr. <a href=\"https:\/\/www.northumbria.ac.uk\/about-us\/our-staff\/m\/abbas-mehrabidavoodabadi\/\" data-type=\"URL\" data-id=\"https:\/\/www.northumbria.ac.uk\/about-us\/our-staff\/m\/abbas-mehrabidavoodabadi\/\">Abbas Mehrabi<\/a><\/li><li>Prof. <a href=\"https:\/\/klab.nii.ac.jp\/\">Yusheng Ji<\/a><\/li><\/ul>\n\n\n\n<p><strong>Open Source<\/strong><\/p>\n\n\n\n<ul><li>Datasets<\/li><li><a href=\"https:\/\/drive.google.com\/file\/d\/13_5humAHI12anPVECRdpWdWofdhwjGyX\/view?usp=sharing\" data-type=\"URL\" data-id=\"https:\/\/drive.google.com\/file\/d\/13_5humAHI12anPVECRdpWdWofdhwjGyX\/view?usp=sharing\">VFogSim Platform<\/a><\/li><li><a href=\"https:\/\/drive.google.com\/file\/d\/1t6yckBArSr0y0uiW4CzSzP5gr8MmRebi\/view?usp=sharing\" data-type=\"URL\" data-id=\"https:\/\/drive.google.com\/file\/d\/1t6yckBArSr0y0uiW4CzSzP5gr8MmRebi\/view?usp=sharing\">VFogSim Platform (OMNeT)<\/a><\/li><li><a href=\"https:\/\/drive.google.com\/file\/d\/1mgUGvHvG-aehUFbe7PyPwDExb1prflaV\/view?usp=sharing\" data-type=\"URL\">Sumo &amp; WinProp Handbook<\/a> <\/li><li><a href=\"https:\/\/drive.google.com\/file\/d\/1wI2cz1N__G-YV_sYRyhR81czirYwE30x\/view?usp=sharing\" data-type=\"URL\" data-id=\"https:\/\/drive.google.com\/file\/d\/1wI2cz1N__G-YV_sYRyhR81czirYwE30x\/view?usp=sharing\">Supplementary Materials<\/a><\/li><\/ul>\n\n\n\n<p><strong>Publications<\/strong><\/p>\n\n\n\n<ul><li>[1] Marius Noreikis, Yu Xiao, Yuming Jiang. Edge capacity planning for real-time compute-intensive applications. in Proceedings of IEEE International Conference on Fog Computing (ICFC\u201919), 10 pages. Prague, Czech Republic, June 24-26, 2019. [pdf]<\/li><li>[2] Di, X., Zhao, Q, Xiao, Y., Rao, W. Traffic congestion prediction by spatiotemporal propagation patterns. In <em>Proceedings of 20<sup>th<\/sup> IEEE International Conference on Mobile Data Management<\/em> (MDM\u201919), 6 pages, Hong Kong, June 10-13, 2019. [pdf]<\/li><li>[3] Chao Zhu, Yi-Han Chiang, Abbas Mehrabi, Yu Xiao*, Antti Yl\u00e4-J\u00e4\u00e4ski, and Yusheng Ji. Chameleon: Latency and resolution aware task offloading for visual-based assisted driving. <em>IEEE Transactions on Vehicular Technology<\/em>. 11 pages. 2019. [pdf]<\/li><li>[4] Chao Zhu, Abbas Mehrabi, Yu Xiao, Yinghong Wen. CrowParking: Crowdsourcing based parking navigation in autonomous driving era. InInternational Conference on Electromagnetics in Advanced Applications (ICEAA 2019), 5 pages,&nbsp; September 2019 [pdf]<\/li><li>[5] Zhang, Y., Xiao, Y., Zhao, K., and Rao, W. DeepLoc: Deep Neural Network-based Telco Localization. In Proceedings of 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2019), November 12\u201314, 2019, Houston, United States. ACM, New York, NY, USA, 10 pages. Best paper award [pdf]<\/li><li>[6] Gao, H., Xiao, Y., Han, Y., Tian, Y., and Wang, W. A Learning-based Credible Participant Recruitment Strategy for Mobile Crowd Sensing. IEEE Internet of Things Journal. Feb 2020. 10.1109\/JIOT.2020.2976778 [pdf]<\/li><li>[7] Xie, Q., Guo, T., Chen, Y., Xiao, Y., Wang, X., and Zhao, B. Deep graph convolutional networks for incident-driven traffic speed prediction. Proceedings of 29th ACM International Conference on Information and Knowledge Management (CIKM\u201920). [pdf]<\/li><li>[8] Zhu, C., Chiang, Y., Xiao, Y., and Ji, Y. FlexSensing: A QOI and Latency Aware Task Allocation Scheme for Vehicle-based Visual Crowdsourcing via Deep Q-Network. IEEE Internet of Things Journal. 2020. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9270280\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9270280\">[pdf]<\/a><\/li><li>[9] B. Cho and Y. Xiao, &#8220;Learning-based decentralized offloading decision making in an adversarial environment,&#8221; in <em>IEEE Transactions on Vehicular Technology<\/em>. <a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9551805\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9551805\">[pdf]<\/a><\/li><li>[10] X. Li, B. Cho and Y. Xiao, &#8220;Balancing latency and accuracy on deep video analytics at the edge&#8221;, in <em>Proceedings of IEEE Consumer Communications &amp; Networking Conference<\/em>(CCNC 2022), January 2022, 8 pages. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9700636\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9700636\">[pdf]<\/a><\/li><li>[11] W. Mao, O. U. Akgul, A. Mehrabi, B. Cho, Y. Xiao and A. Yl\u00e4-J\u00e4\u00e4ski, &#8220;Data-Driven Capacity Planning for Vehicular Fog Computing,&#8221; in IEEE Internet of Things Journal, doi: 10.1109\/JIOT.2022.3143872. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9684543\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9684543\">[pdf]<\/a><\/li><li>[12] H. Gao, J. Feng, Y. Xiao, B. Zhang, and W. Wang. &#8220;A UAV-assisted Multi-task Allocation Method for Mobile Crowd Sensing&#8221;, IEEE Transactions on Mobile Computing, doi: 10.1109\/TMC.2022.3147871. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9699407\" data-type=\"URL\" data-id=\"https:\/\/ieeexplore.ieee.org\/document\/9699407\">[pdf]<\/a><\/li><li>[13] W. Mao, &#8220;PhD Forum Abstract: Capacity Planning for Vehicular Fog Computing,&#8221;&nbsp;<em>2022 IEEE International Conference on Smart Computing (SMARTCOMP)<\/em>, 2022, pp. 186-187, doi: 10.1109\/SMARTCOMP55677.2022.00047. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9821085\">[pdf]<\/a><\/li><li>[14] B. Cho and Y. Xiao, &#8220;A repeated unknown game: Decentralized task offloading in vehicular fog computing,&#8221; in <em>IEEE Transactions on Vehicular Technology<\/em>, 2023. doi: 10.1109\/TVT.2023.3275120.<\/li><li>[15] O. U. Akgul, W. Mao, B. Cho, and Y. Xiao, &#8220;VFogSim: A Data-driven Platform for Simulating Vehicular Fog Computing Environment,&#8221; <em>IEEE Systems Journal<\/em> (accepted for publication). 2023.<\/li><li>[16] W. Mao, O.U.Akgul, B. Cho, Y. Xiao and A. Yl\u00e4-J\u00e4\u00e4ski, \u201cOn-demand Vehicular Fog Computing for Beyond 5G Networks\u201d, <em>IEEE Transactions on Vehicular Technology<\/em> (accepted for publication). 2023.<\/li><li>[17] A. Zhanabatyrova, C. Leite, and Y. Xiao. \u201cAutomatic map update using dashcam videos\u201d, in IEEE Internet of Things Journal. 2023. doi: 10.1109\/JIOT.2023.3244693.<\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research Topics Algorithms for real-time task allocation in vehicular fog computing environments Data-driven city-wide capacity planning for vehicular fog computing Edge-powered cooperative driving in 5G networks Project Team Members Dr. Ozgur Akgul Wencan Mao (doctoral student, graduated in 2023) Aziza Zhanabatyrova (doctoral student, expected to graduate in 2024) Xuebing Li (doctoral student, expected to graduate [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":2,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages\/1441"}],"collection":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1441"}],"version-history":[{"count":36,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages\/1441\/revisions"}],"predecessor-version":[{"id":1812,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages\/1441\/revisions\/1812"}],"up":[{"embeddable":true,"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=\/wp\/v2\/pages\/2"}],"wp:attachment":[{"href":"https:\/\/mobilecloud.aalto.fi\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}