Shoji Kasahara - Bitcoin Mining Mechanism: From a Queueing Theory Perspective
Shoji Kasahara is a Professor of Nara Institute of Science and Technology, Japan. (personal homepage)
Abstract of the talk: Bitcoin is one of popular cryptocurrencies widely used over the world, and its blockchain technology has attracted considerable attention.
In Bitcoin system, it is well known that transactions are prioritized according to transaction fees. In this talk, we first introduce the Bitcoin system, focusing on proof-of-work, the consensus mechanism of Bitcoin blockchain. Then, we show some queueing models for analyzing the transaction-confirmation time, discussing how the fee of a transaction affects the transaction-confirmation time.
Masakatsu Fujiwara - Self-evolving zero-touch network operation beyond 5G with AI and user engagement
Masakatsu Fujiwara is the Vice President and Head of Communication Traffic & Service Quality Project, NTT Network Technology Laboratories, Japan. He received a B.E. in electrical engineering and an M.E. in applied systems science from Kyoto University in 1994 and 1996, and an M.B.A. from Cornell University, USA, in 2005.
Abstract of the talk: Beyond the 5G era, network will serve as a critical social infrastructure that supports the cyber physical system with massive and diverse devices as well as service requirements.
In such a situation, self-evolving zero-touch network operation with AI technology will be essential to provide network functions and resources flexibly and dynamically.
In addition, the key indicators of network value will expand from conventional parameters inside networks, such as throughput or latency, to the outside indicators such as user benefit or user behavior change.
The concept of user engagement operation will be an important perspective in network operation.
We introduce the concept and technologies concerning the self-evolving zero-touch and user-engagement as the direction of future network operation.
F. Richard Yu - From the Internet of Information to the Internet of Intelligence
F. Richard Yu received the PhD degree in electrical engineering from the University of British Columbia (UBC) in 2003. From 2002 to 2006, he was with Ericsson (in Lund, Sweden) and a start-up in California, USA. He joined Carleton University in 2007, where he is currently a Professor.
Abstract of the talk: In the era of the Internet of information, we have gone through layer, cross-layer, and cross-system design paradigms. The “curse of modeling” and “curse of dimensionality” of the current Internet of information have resulted in the popularity of using artificial intelligence (AI) for the Internet of information in the recent years. However, many significant research challenges remain to be addressed for the AI approach, including the lack of data for this data-driven approach.
In a larger time scale, humans’ cooperation has gone through “grid of transportation”, “grid of energy”, and “the Internet of information” paradigms. The next cooperation paradigm could be “the Internet of intelligence”, where intelligence can be easily obtained like information and energy. In this talk, we will present some recent advances in these areas. Then, we discuss some open issues and challenges that need to be addressed in the future.