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Dew Computing and Transition of Internet Computing Paradigms
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作者 WANG Yingwei karolj skala +3 位作者 Andy Rindos Marjan Gusev YANG Shuhui PAN Yi 《ZTE Communications》 2017年第4期30-37,共8页
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... 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. 展开更多
关键词 dew computing cloud computing online impact redundancy rate Internet computing paradigm
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G-Phenomena as a Base of Scalable Distributed Computing—G-Phenomena in Moore’s Law
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作者 karolj skala Davor Davidovic +1 位作者 Tomislav Lipic Ivan Sovic 《International Journal of Internet and Distributed Systems》 2014年第1期1-4,共4页
Today we witness the exponential growth of scientific research. This fast growth is possible thanks to the rapid development of computing systems since its first days in 1947 and the invention of transistor till the p... Today we witness the exponential growth of scientific research. This fast growth is possible thanks to the rapid development of computing systems since its first days in 1947 and the invention of transistor till the present days with high performance and scalable distributed computing systems. This fast growth of computing systems was first observed by Gordon E. Moore in 1965 and postulated as Moore’s Law. For the development of the scalable distributed computing systems, the year 2000 was a very special year. The first GHz speed processor, GB size memory and GB/s data transmission through network were achieved. Interestingly, in the same year the usable Grid computing systems emerged, which gave a strong impulse to a rapid development of distributed computing systems. This paper recognizes these facts that occurred in the year 2000, as the G-phenomena, a millennium cornerstone for the rapid development of scalable distributed systems evolved around the Grid and Cloud computing paradigms. 展开更多
关键词 Historical Development of Computing G-Phenomena Moore’s Law Distributed Computing SCALABILITY Grid Computing Cloud Computing Component
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