{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T14:30:06Z","timestamp":1774103406201,"version":"3.50.1"},"reference-count":62,"publisher":"IGI Global","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"abstract":"<jats:p>Electric vehicles (EVs) are key players for transport oriented smart cities (TOSC) powered by smart grids (SG) because they help those cities to become greener by reducing vehicle emissions and carbon footprint. In this article, the authors analyze different use-cases to show how big data analytics (BDA) can play vital role for successful electric vehicle (EV) to smart grid (SG) integration. Followed by this, this article presents an edge computing model and highlights the advantages of employing such distributed edge paradigms towards satisfying the store, compute and networking (SCN) requirements of smart EV applications in TOSCs. This article also highlights the distinguishing features of the edge paradigm, towards supporting BDA activities in EV to SG integration in TOSCs. Finally, the authors provide a detailed overview of opportunities, trends, and challenges of both these computing techniques. In particular, this article discusses the deployment challenges and state-of-the-art solutions in edge privacy and edge forensics.<\/jats:p>","DOI":"10.4018\/ijdcf.2019070102","type":"journal-article","created":{"date-parts":[[2019,4,23]],"date-time":"2019-04-23T12:56:26Z","timestamp":1556024186000},"page":"23-42","source":"Crossref","is-referenced-by-count":8,"title":["Big Data Analytics Platforms for Electric Vehicle Integration in Transport Oriented Smart Cities"],"prefix":"10.4018","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6371-2545","authenticated-orcid":true,"given":"Md Muzakkir","family":"Hussain","sequence":"first","affiliation":[{"name":"Aligarh Muslim University, Aligarh, India"}]},{"given":"M.M. Sufyan","family":"Beg","sequence":"additional","affiliation":[{"name":"Aligarh Muslim University, Aligarh, India"}]},{"given":"Mohammad Saad","family":"Alam","sequence":"additional","affiliation":[{"name":"Aligarh Muslim University, Aligarh, India"}]},{"given":"Shahedul Haque","family":"Laskar","sequence":"additional","affiliation":[{"name":"NIT SILCHAR, Silchar, India"}]}],"member":"2432","reference":[{"issue":"1","key":"IJDCF.2019070102-0","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1007\/s40866-018-0043-z","article-title":"Fog Computing for Next Generation Transport- a Battery Swapping System Case Study.","volume":"3","author":"M. S.Alam","year":"2018","journal-title":"Technol Econ Smart Grids Sustain Energy"},{"key":"IJDCF.2019070102-1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2686092"},{"key":"IJDCF.2019070102-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2017.10.002"},{"key":"IJDCF.2019070102-3","first-page":"1","article-title":"Running Smart Grid Control Software on Cloud Computing Architectures.","author":"K.Birman","year":"2010","journal-title":"Workshop on Computational Needs for the Next Generation Electric Grid"},{"key":"IJDCF.2019070102-4","doi-asserted-by":"crossref","first-page":"2054","DOI":"10.1109\/GLOCOM.2012.6503418","article-title":"ITS-Cloud: Cloud Computing for Intelligent Transportation System.","author":"S.Bitam","year":"2012","journal-title":"2012 IEEE Global Communications Conference (GLOBECOM)"},{"key":"IJDCF.2019070102-5","article-title":"Smart grid solution for charging and discharging services based on cloud computing scheduling.","author":"D. A.Chekired","year":"2017","journal-title":"IEEE Transactions on Industrial Informatics, 13(6), 3312-3321."},{"key":"IJDCF.2019070102-6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2584538"},{"key":"IJDCF.2019070102-7","doi-asserted-by":"publisher","DOI":"10.1145\/2766330.2766337"},{"key":"IJDCF.2019070102-8","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2531104"},{"key":"IJDCF.2019070102-9","author":"G.Connected","year":"2015","journal-title":"Mobilizing Intelligent Transportation Systems (ITS)"},{"key":"IJDCF.2019070102-10","article-title":"The megawatts behind your megabytes: going from data-center to desktop","author":"D.Costenaro","year":"2012","journal-title":"ACEEE Summer Study on Energy Efficiency in Buildings (pp. 13-65)"},{"key":"IJDCF.2019070102-11","first-page":"1","article-title":"Isolating a cloud instance for a digital forensic investigation","author":"W.Delport","year":"2012","journal-title":"Proc. Inf. Security South Africa Conf. (ISSA)"},{"key":"IJDCF.2019070102-12","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2010.06.001"},{"key":"IJDCF.2019070102-13","unstructured":"Erol-Kantarci, M. & Mouftah, M.T. (n.d.). Toward Low-Carbon Economy and Green Smart Grid through Pervasive Demand Management."},{"key":"IJDCF.2019070102-14","unstructured":"Eurelectric. (2015). Smart charging: steering the charge, driving the change. Whitepaper"},{"issue":"4","key":"IJDCF.2019070102-15","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/MCOM.2011.5741147","article-title":"Toward intelligent machine-to-machine communications in smart grid.","volume":"49","author":"Z. M.Fadlullah","year":"2011","journal-title":"IEEE Communications Magazine"},{"issue":"9","key":"IJDCF.2019070102-16","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1145\/2034574.2034812","article-title":"Frenetic: A network programming language.","volume":"46","author":"N.Foster","year":"2011","journal-title":"ACM SIGPLAN Notices"},{"issue":"2","key":"IJDCF.2019070102-17","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1109\/MIC.2017.36","article-title":"Fog Orchestration for Internet of Things Services.","volume":"21","author":"P.Garraghan","year":"2017","journal-title":"IEEE Internet Computing"},{"key":"IJDCF.2019070102-18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2503598"},{"issue":"2","key":"IJDCF.2019070102-19","first-page":"28","article-title":"Calm Before the Storm","volume":"4","author":"G.Grispos","year":"2012","journal-title":"The Challenges of Cloud Computing in Digital Forensics"},{"key":"IJDCF.2019070102-20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2218253"},{"key":"IJDCF.2019070102-21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2013.08.097"},{"key":"IJDCF.2019070102-22","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2011.2173507"},{"key":"IJDCF.2019070102-23","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2532863"},{"key":"IJDCF.2019070102-24","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2418574"},{"key":"IJDCF.2019070102-25","unstructured":"Hu, Y. C., Patel, M., Sabella, D., Sprecher, N., & Young, V. (2015). Mobile Edge Computing A key technology towards 5G. ETSI white paper, 11(11), 1-16."},{"issue":"11","key":"IJDCF.2019070102-26","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1109\/MCOM.2017.1700322","article-title":"Vehicular fog computing: Architecture, use case, and security and forensic challenges.","volume":"55","author":"C.Huang","year":"2017","journal-title":"IEEE Communications Magazine"},{"issue":"3","key":"IJDCF.2019070102-27","first-page":"361","article-title":"Plug-in electric vehicle to cloud data analytics for charging management.","volume":"9","author":"M.Hussain","year":"2017","journal-title":"IJET"},{"key":"IJDCF.2019070102-28","doi-asserted-by":"crossref","unstructured":"Hussain, M., Alam, M. S., & Beg, M. M. S. Proceedings of 2nd International Conference on Communication, Computing and Networking, Lecture Notes in Networks and Systems 46, https:\/\/doi.org\/10.1007\/978-981-13-1217-5_98","DOI":"10.1007\/978-981-13-1217-5_98"},{"key":"IJDCF.2019070102-29","unstructured":"Hussain, M., Alam, M. S., & Beg, M. M. S. (n.d.b). arxiv.org\/abs\/1802.01818."},{"key":"IJDCF.2019070102-30","doi-asserted-by":"crossref","unstructured":"Hussain, M. M., Alam, M. S., Beg, M. S., & Malik, H. (2018). A risk averse business model for smart charging of electric vehicles. In Proceedings of First International Conference on Smart System, Innovations and Computing, Smart Innovation, Systems and Technologies 79, https:\/\/doi.org\/10.1007\/978-981-10-5828-8_71","DOI":"10.1007\/978-981-10-5828-8_71"},{"key":"IJDCF.2019070102-31","unstructured":"MM Insights. (n.d.). MaRS Market Insights The Evolving Digital Utility\u202f: The convergence of energy and IT [white paper]."},{"key":"IJDCF.2019070102-32","unstructured":"Insights, M. M. (n.d.). MaRS Market Insights The Evolving Digital Utility\u202f: The convergence of energy and IT [White paper]. Retrieved from www.marsdd.com\/news-and-insights\/the-evolving-digital-utility"},{"key":"IJDCF.2019070102-33","year":"2000","journal-title":"Smart Cells Revolutionize Service Delivery"},{"key":"IJDCF.2019070102-34","unstructured":"IOV - IOT FORUM Milan. (2015). http:\/\/wfiot2015.ieee-wf-iot.org\/IOV%20-%20IOT%20FORUM%20Milan%20dec%202015.pdf (Accessed on 20 July, 2018)"},{"key":"IJDCF.2019070102-35","unstructured":"Jalali, F. (2015). Energy consumption of cloud computing and fog computing applications [PhD Thesis]. University of Melbourne. Retrieved from http:\/\/hdl.handle.net\/11343\/58849"},{"key":"IJDCF.2019070102-36","doi-asserted-by":"crossref","unstructured":"Jalali, F., Vishwanath, A., De Hoog, J., & Suits, F. (2016). Interconnecting Fog computing and microgrids for greening IoT. In IEEE PES Innovative Smart Grid Technologies Conference Europe (pp. 693-698).","DOI":"10.1109\/ISGT-Asia.2016.7796469"},{"key":"IJDCF.2019070102-37","doi-asserted-by":"publisher","DOI":"10.3390\/sym9040049"},{"issue":"2","key":"IJDCF.2019070102-38","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1109\/TSG.2013.2279681","article-title":"V2G Capacity Estimation Using Dynamic EV Scheduling.","volume":"5","author":"K. N. S.Kumar","year":"2014","journal-title":"IEEE Transactions on Smart Grid"},{"key":"IJDCF.2019070102-39","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2015.2437201"},{"key":"IJDCF.2019070102-40","doi-asserted-by":"publisher","DOI":"10.1177\/1550147716665500"},{"issue":"11","key":"IJDCF.2019070102-41","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/MCOM.2017.1700133","article-title":"Big Data Analytics for Electric Vehicle Integration in Green Smart Cities.","volume":"55","author":"B.Li","year":"2017","journal-title":"IEEE Communications Magazine"},{"key":"IJDCF.2019070102-42","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"IJDCF.2019070102-43","unstructured":"MIT. (2016). Internet of Things: Roadmap to a Connected World (MIT Professional Education Digital Programs)."},{"key":"IJDCF.2019070102-44","doi-asserted-by":"crossref","first-page":"19293","DOI":"10.1109\/ACCESS.2017.2749422","article-title":"Security and privacy in fog computing: Challenges.","volume":"5","author":"M.Mukherjee","year":"2017","journal-title":"IEEE Access: Practical Innovations, Open Solutions"},{"key":"IJDCF.2019070102-45","unstructured":"New, B., & Finance, E. (2017). Whitepaper."},{"key":"IJDCF.2019070102-46","unstructured":"OpenFog Consortium Architecture Working Group. (2017). OpenFog Reference Architecture for Fog Computing. OpenFogConsortium."},{"key":"IJDCF.2019070102-47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2692960"},{"issue":"3","key":"IJDCF.2019070102-48","first-page":"32","article-title":"Fog computing for sustainable smart cities: A survey.","volume":"50","author":"C.Perera","year":"2017","journal-title":"ACM Computing Surveys"},{"key":"IJDCF.2019070102-49","doi-asserted-by":"crossref","unstructured":"Rajkumar Buyya Ed. et. al. Fog Computing Model for Evolving Smart Transportation Applications, In Fog and Edge Computing, John Wiley & Sons, Inc, pp-347-372. DOI: 10.1002\/9781119525080.ch14","DOI":"10.1002\/9781119525080.ch14"},{"key":"IJDCF.2019070102-50","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2756625"},{"key":"IJDCF.2019070102-51","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2016.11.009"},{"key":"IJDCF.2019070102-52","unstructured":"Shojafar, M., Cordeschi, N., & Baccarelli, E. (2016). Energy-efficient adaptive resource management for real-time vehicular cloud services. IEEE Transactions on Cloud computing."},{"key":"IJDCF.2019070102-53","author":"O.Skarlat","journal-title":"Resource Provisioning for IoT Services in the Fog."},{"key":"IJDCF.2019070102-54","doi-asserted-by":"crossref","unstructured":"Stimmel, C. L. (2015). Big Data Analytics Strategies for the Smart Grid. CRC Press. ISBN: 9781482218282","DOI":"10.1201\/b17228"},{"key":"IJDCF.2019070102-55","doi-asserted-by":"crossref","unstructured":"Vehicular, U., & Computing, C. (2017). Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing. IEEE Vehicular Technology Megazine, 12(3).","DOI":"10.1109\/MVT.2017.2667499"},{"key":"IJDCF.2019070102-56","doi-asserted-by":"publisher","DOI":"10.4018\/IJDCF.2015010101"},{"key":"IJDCF.2019070102-57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2502250"},{"key":"IJDCF.2019070102-58","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2572206"},{"key":"IJDCF.2019070102-59","unstructured":"Zawoad, S., & Hasan, R. (2013). Cloud forensics: A meta-study of challenges, approaches, and open problems."},{"key":"IJDCF.2019070102-60","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2158001"},{"key":"IJDCF.2019070102-61","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2017.2668838"}],"container-title":["International Journal of Digital Crime and Forensics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=227638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T21:55:55Z","timestamp":1651787755000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJDCF.2019070102"}},"subtitle":["Computing Platforms for Platforms for Electric Vehicle Integration in Smart Cities"],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":62,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.4018\/ijdcf.2019070102","relation":{},"ISSN":["1941-6210","1941-6229"],"issn-type":[{"value":"1941-6210","type":"print"},{"value":"1941-6229","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7]]}}}