acm - an acm publication

2006 - May

  • 802.16 2001 MAC layer QoS
    This paper reviews 802.16 2001's MAC layer QoS metric. It explains the importance of QoS and its parameter set; defines types of services supported by this standard; explores the main entity of the MAC layer used for transportation that is service flow and how the QoS metric is associated with it, as well as the relationship of service class and service flow. It further explains the authorization model and two phase activation. In the end it explains dynamic service flow and dynamic service messages in detail
  • The waning importance of categorization
    The mobile phone has caused us to plan less and communicate more. The Internet causes us to categorize less and search more - and media's increasing Internet nervousness is driven not just by fear of diminishing revenues but from the fear of a loss of importance of categorization. When everybody can find everything and networked computers determine what is relevant, media companies lose their ability to create agendas. To maintain their influence, they will need to let the Internet shape their main products, not desperately try to keep the world as it is.

2018 Symposia

Ubiquity symposium is an organized debate around a proposition or point of view. It is a means to explore a complex issue from multiple perspectives. An early example of a symposium on teaching computer science appeared in Communications of the ACM (December 1989).

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Ubiquity Symposium: Big Data

Table of Contents

  1. Big Data, Digitization, and Social Change (Opening Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic
  2. Big Data and the Attention Economy by Bernardo A. Huberman
  3. Big Data for Social Science Research by Mark Birkin
  4. Technology and Business Challenges of Big Data in the Digital Economy by Dave Penkler
  5. High Performance Synthetic Information Environments: An integrating architecture in the age of pervasive data and computing By Christopher L. Barrett, Jeffery Johnson, and Madhav Marathe
  6. Developing an Open Source "Big Data" Cognitive Computing Platform by Michael Kowolenko and Mladen Vouk
  7. When Good Machine Learning Leads to Bad Cyber Security by Tegjyot Singh Sethi and Mehmed Kantardzic
  8. Corporate Security is a Big Data Problem by Louisa Saunier and Kemal Delic
  9. Big Data: Business, technology, education, and science by Jeffrey Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, and Marco Amador
  10. Big Data or Big Brother? That is the question now (Closing Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic