acm - an acm publication

2006 - August

  • Service oriented architecture (SOA) a new paradigm to implement dynamic e-business solutions
    Software development has undergone various stages of paradigms - the very last one is called Object-Oriented (O-O) paradigm. Typical of this paradigm has been culminated by several OO programming languages such as C++, Java and VB. With the advent of Internetworking and evolvement of web technologies, business needs, especially isolated service requests/components, put a new demand on new software architecture. Existing models are examined in the light of their constraints and limitations to meet these constant changing business requirements. Service-oriented Architecture (SOA), as the next generation software architecture and through the utilization of the web service, XML and other related technologies provides viable working solution to implement dynamic e-business. This paper discusses SOA model and how it fits into implementing dynamic e-business solutions.
  • Software implemented fault tolerance: The ESVP approach
    This short paper describes a low cost technique for gaining software implemented fault tolerance without using design diversity based N versions redundancy in both software and hardware. The proposed approach uses an enhanced single-version programming (ESVP) scheme for an application that executes on a single machine. ESVP employs triplicate application program along with multistage voting at inputs and outputs in order to tolerate single-point operational faults in input data, output data, an individual processing module and in an individual voting module through error masking. It is not aimed to tolerate software design bugs. This is a useful tool for designing a reliable low-cost application system.
  • New approach to designing GPRS location update function
    Wireless IP network has attracted significant interest due to their ability to support both voice and data transfer in mobile communication. One of the main issues concerning such network is the analysis and design of mobility function particularly the location management. In this paper, we focus on modelling location update function in wireless network standard GPRS (General Packet Radio Service) by using an agent approach [1].
  • Reflections on the philosophy of technology culture of technological reflection
    "Philosophers point out the liabilities, what happens when technology moves beyond lifting genuine burdens and starts freeing us from burdens that we should not want to be rid of." (Albert Borgmann)"The unintended consequences and dangers of technologization are real, and they deserve reflections and replies. Meanwhile the deeper danger of cultural and moral devastation goes unnoticed and is to some extent eclipsed by attention to the overt dangers (which, to repeat, need to be addressed forthwith)." (Albert Borgmann)
  • Mosquito attack optimization
    Ant Colony Optimization and Swarm Optimization are the classical areas of researches in the field of Computer Science. Computer Scientists are trying to map the Biological and Natural Solution with the Artificial one, since last 2 decades. Finally, Genetic Algorithm (GA), Genetic Programming (GP) and Artificial Neural Network (ANN), ACO[13], etc were derived from the Biological, Genetical and Natural characteristics of the living organisms.We have developed a population based stochastic optimization technique inspired by social behavior of Mosquito (Female). This research will open a new side of 'Particle Swarm Optimization', in future.

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