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学术讲座:Big Data Meet Green Challenges

阅读数:678    发布:2018-01-20 00:55    

报告题目:Big Data Meet Green Challenges

报告时间:2018年1月25日10:30-11:30

报告人简介:Jinsong Wu was the leading Editor and a co-author of the comprehensive book, entitled “Green Communications: Theoretical Fundamentals, Algorithms, and Applications”, published by CRC Press in September 2012. His co-authored paper, "Big Data Meet Green Challenges: Big Data Toward Green Applications", has won 2017 IEEE System Journal Best Paper Award. He also has received three best paper awards for IEEE conference papers. He is elected Vice Chair, Technical Activities, IEEE Environmental Engineering Initiative (EEI), a pan-IEEE effort under IEEE Technical Activities Board (TAB) across 25 IEEE Societies, Councils, and organization units (OU). He is the founder and current Chair of the Technical Committee on Green Communications and Computing (TCGCC). He is also the co-founder and Vice-Chair of the Technical Committee on Big Data (TCBD). He was the very first proposer of IEEE Green Journals/Transactions (2012).  He is the founder and Series Editor on Green Communication and Computing Networks of the IEEE Communications Magazine. He is an Area Editor of IEEE Transactions on Green Communications and Networking. He was an Editor of the IEEE J. Select. Areas on Communications (JSAC) Series on Green Communications and Networking, Editor of IEEE Communications Surveys and Tutorials, Associate Editor of IEEE Systems Journal, Associate Editor of IEEE Access. He was the one of the key proposers and a long term promotor from Green Track to a full green symposium in flagship conferences of IEEE Communications Society. He opened Big Data Track with general and wide topic coverage in the flagship conferences of IEEE Communications Society, starting at IEEE Globecom 2016. He was Symposium Co-Chair and Track Vice-Chair on Green Communication Systems and Networks of the Selected Areas in Communications Symposium, IEEE GLOBECOM 2012. He was the leading General Chair in 2013 IEEE International Conference on Green Computing and Communications. He was Technical Program Committee Chair of IEEE Online Conference on Green Communications in both 2012 and 2013. He was Track Co-Chair on Green Communications and Networks, IEEE Vehicular Technology Conference 2014 Fall and 2017 Fall. He is Technical Program Committee Co-Chair in the first IEEE Environmental Engineering Conference, which is the flagship conference of IEEE Environmental Engineering Initiative.

报告摘要:Although the term of green has been often used to refer to energy consumption reduction or energy efficiency by many people and literatures, green actually should refer to environmental sustainability in more general senses. Environmental sustainability issues have been important topics for recent years, which has impacted and will further impact individuals, enterprises, governments, and societies. Environmental sustainability is not simply regarding reducing the amount of waste or using less energy, but relevant to developing processes leading to completely sustainable human society in the future. The long term consequences of the relevant serious issues have not yet been fully forecasted, but it has been generally accepted in many communities that immediate responses are necessary. From 30 November to 12 December 2015, the 21th United Nations Climate Change Conferences of the Parties (COP 21) was held in Paris, France, as the a historical breakthrough and milestone towards securing the future Earth, a global agreement on the reduction of climate change, the text of which represented a consensus of the representatives of more than 193 countries attending it, which was a profound milestone for global environmental sustainability. Nowadays there is another significant tendency on how to process the enormous amount of data, big data. An interesting question is whether there are inherent correlations between the two tendencies in general. To answer this question, this talk would address how to green big data systems in terms of the whole life cycle of big data processing as well as big data technologies towards various green objectives.


深圳大学计算机与软件学院 2009-2016