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ZTE Communications ›› 2017, Vol. 15 ›› Issue (4): 30-37.DOI: 10.3969/j.issn.1673-5188.2017.04.004

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  • 收稿日期:2017-06-16 出版日期:2017-10-25 发布日期:2019-12-02

Dew Computing and Transition of Internet Computing Paradigms

WANG Yingwei1, Karolj Skala2, Andy Rindos3, Marjan Gusev4, YANG Shuhui5, PAN Yi6   

  1. 1. University of Prince Edward Island, Charlottetown, C1A 4P3, Canada
    2. Ruder Bošković Institute, Zagreb 10000, Croatia
    3. IBM Emerging Technology Institute, Durham 27709, USA
    4. Ss. Cyril and Methodius University in Skopje, Skopje 1000, Macedonia
    5. Purdue University Northwest, Hammond 46323, USA
    6. Georgia State University, Atlanta 30302, USA
  • Received:2017-06-16 Online:2017-10-25 Published:2019-12-02
  • About author:WANG Yingwei (ywang@upei.ca) received his B.S. and M.S. degrees from Harbin Institute of Technology, China. He received his Ph.D. from the University of Waterloo, Canada. From 1982 to 1997, he worked at Harbin Institute of Technology as a Research Assistant, a Lecturer, and an Associate Professor. In 1999, he worded at the University of Waterloo as a Lecturer. From 2003 to 2004, he worked as a postdoctoral research associate at the University of Western Ontario. Since 2004, he has worked at the University of Prince Edward Island, Canada. Dr. Wang’s research interests include dew computing, cloud computing, internet of things, and bioinformatics. He was awarded twice for research achievements by his university. His work in cloud-dew architecture lead to the creation of the dew computing research area.|Karolj Skala (skala@irb.hr) is a senior scientist at the Ruder Bošković Institute, Croatia and the head of Centre for informatics and Computing there . He has been a lecturer at University of Zagreb, Croatia since 1989. Dr. Skala was Chairman of the International Scientific Symposium on Data and Life Sciences Based on Distributed Computing. He is a member of the MIPRO programme committee, and a member of the COGAIN association. Besides, he is the national coordinator in the European Cooperation in Science and technology 4 COST projects, a project member coordinator of the 5 EU FP6, and the national project leader of 6 EU FP7 and 4 EU Horizon2020 projects. He is also a member of Croatian Academy of Technical Science, and an associate member of Hungary Academy of Science. He was awarded the Annual Science Prize of the Hungarian Academy of Sciences in 2015 and the State Awards for Science of Croatia in 2016.|Andy Rindos (rindos@us.ibm.com) is currently the program director for Industry Verticals (Public Sector, Health, Finance), Strategic Customer Success, Watson and Cloud Platform at IBM Emerging Technology Institute, USA. He also heads the Research Triangle Park Center for Advanced Studies (CAS; IBM North Carolina university relations) and the WW CAS network, as well as US university relations and the IBM Cloud Academy. Most recently, he was the program director for the Emerging Technology Institute for IBM Cloud (previously the IBM Middleware Chief Technology Office), and has previously headed the WebSphere Technology Institute as well as performance for Tivoli and Networking Hardware divisions. He is a member of the IBM Academy of Technology, as well as an NC State Adjunct Associate Professor. He joined IBM in 1988, after receiving his Ph.D. in electrical engineering from the University of Maryland, USA. Prior to IBM, he was a Neurophyisologist at the National Institutes of Health in Bethesda MD, USA.|Marjan Gusev (marjan.gusev@innovation.com.mk) is a professor at Ss. Cyril and Methodius University in Skopje, Macedonia, Faculty of Computer Science. He has participated in, coordinated and evaluated many national IT projects and participated and coordinated more than 30 TEMPUS, FP6, FP7 and H2020 projects of the European Commission. He has published over 500 papers in the area of parallel processing, cloud computing, security, computer networks and high-performance computing. He received the award and certificate for the Best Scientist and Researcher at the Ss Cyril and Methodius in 2012 and the Best Professor Award in 2015. Also he was awarded the IEEE EDUCON Best Paper Award in 2013 and the 8th Annual SEERC DSC2013 Best Paper Award.|YANG Shuhui (shuhuiyang@pnw.edu) received her B.S. degree from Jiangsu University, China, and her M.S. degrees from Nanjing University, China. She received her Ph.D. from Florida Atlantic University, USA. From 2007 to 2009, she worked as postdoctoral research associate at Rensselear Polytechnic Institute. Since 2009, she has worked at Purdue University Northwest. Dr. Yang’s research interests are wireless communication, and distributed systems. She has published more than 40 papers in her fields. She has served in organizing committees and technical program committees for many IEEE conferences.|PAN Yi (yipan@gsu.edu) is currently a Regents’ Professor and Chair of Computer Science at Georgia State University, USA. He has served as an Associate Dean and Chair of Biology Department during 2013-2017 and Chair of Computer Science during 2006-2013. Dr. Pan joined Georgia State University in 2000, was promoted to full professor in 2004, named a Distinguished University Professor in 2013 and designated a Regents' Professor (the highest recognition given to a faculty member by the University System of Georgia) in 2015. Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991.

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Abstract:

The goal of this paper focuses on the development of dew computing, including its origins, research status, development status, and its impact on the transition history of Internet computing paradigms. By gathering and studying all the research papers related to dew computing that we are aware of, we found that these papers can be classified into three groups: dew computing early explorations, dew computing feature research, and dew computing application research. Commercial development in the dew computing area also has progressed fast recently; many dew computing products were developed and put into the market. To distinguish dew computing from other Internet computing paradigms and to reveal its essential features, we analyze the transition history of the Internet computing paradigms from information location and distribution aspects. Online impact and redundancy rate are two indices introduced to perform the analysis. The analysis reveals that dew computing is significantly different from other Internet computing paradigms.

Key words: dew computing, cloud computing, online impact, redundancy rate, Internet computing paradigm