acm - an acm publication

2009 - August

  • An Interview with David Alderson: In Search of the Real Network Science
    David Alderson has become a leading advocate for formulating the foundations of network science so that its predictions can be applied to real networks. He is an assistant professor in the Operations Research Department at the Naval Postgraduate School in Monterey, Calif., where he conducts research with military officer-students on the operation, attack, and defense of network infrastructure systems. Ubiquity interviewed him to find out what is going on.
  • Virtualizing the Datacenter Without Compromising Server Performance
    Virtualization has become a hot topic. Cloud computing is the latest and most prominent application of this time-honored idea, which is almost as old as the computing field itself. The term "cloud" seems to have originated with someone's drawing of the Internet as a puffy cloud hiding many servers and connections. A user can receive a service from the cloud without ever knowing which machine (or machines) rendered the service, where it was located, or how many redundant copies of its data there are. One of the big concerns about the cloud is that it may assign many computational processes to one machine, thereby making that machine a bottleneck and giving poor response time. Faouzi Kamoun addresses this concern head on, and assures us that in most cases the virtualization used in the cloud and elsewhere improves performance. He also addresses a misconception made prominent in a Dilbert cartoon, when the boss said he wanted to virtualize the servers to save electricity.

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