Browsing by Author "Fernández Anta, Antonio"

Now showing items 21-25 of 25

    • Article  

      Online parallel scheduling of non-uniform tasks: Trading failures for energy 

      Fernández Anta, Antonio; Georgiou, Chryssis; Kowalski, D. R.; Zavou, Elli (2015)
      Consider a system in which tasks of different execution times arrive continuously and have to be executed by a set of machines that are prone to crashes and restarts. In this paper we model and study the impact of parallelism ...
    • Article  

      Online parallel scheduling of non-uniform tasks: Trading failures for energy 

      Fernández Anta, Antonio; Georgiou, Chryssis; Kowalski, D. R.; Zavou, Elli (2013)
      Consider a system in which tasks of different execution times arrive continuously and have to be executed by a set of processors that are prone to crashes and restarts. In this paper we model and study the impact of ...
    • Article  

      Packet scheduling over a wireless channel: AQT-based constrained jamming 

      Fernández Anta, Antonio; Georgiou, Chryssis; Zavou, Elli (2015)
      In this paper we consider a two-node setting with a sender transmitting packets to a receiver over a wireless channel. Unfortunately, the channel can be jammed, thus corrupting the packet that is being transmitted at the ...
    • Article  

      Reliable internet-based master-worker computing in the presence of malicious workers 

      Fernández Anta, Antonio; Georgiou, Chryssis; López, Luis; Santos, Agustín (2012)
      We consider a Master-Worker distributed system where a master processor assigns, over the Internet, tasks to a collection of n workers, which are untrusted and might act maliciously. In addition, a worker may not reply to ...
    • Article  

      Reputation-based mechanisms for evolutionary master-worker computing 

      Christoforou, Evgenia; Fernández Anta, Antonio; Georgiou, Chryssis; Mosteiro, Miguel A.; Sánchez, A. (2013)
      We consider Internet-based Master-Worker task computing systems, such as SETI@home, where a master sends tasks to potentially unreliable workers, and the workers execute and report back the result. We model such computations ...