Browsing by Author "Sinaeepourfard, Amir"

Now showing items 1-8 of 8

    • A comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      There is a vast amount of data being generated every day in the world, coming from a variety of sources, with different formats, quality levels, etc. This new data, together with the archived historical data, constitute ...

    • A Data LifeCycle model for smart cities 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva; Yin, Xuefeng; Wang, Chao (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      Smart Cities are the most challenging and promising technological solutions for absorbing the increasing pressure of population growth, while simultaneously enforcing a sustainable economic progress as well as a higher ...

    • A novel architecture for efficient fog to cloud data management in smart cities 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      Traditional smart city resources management rely on cloud based solutions to provide a centralized and rich set of open data. The advantages of cloud based frameworks are their ubiquity, (almost) unlimited resources capacity, ...

    • Data Preservation through Fog-to-Cloud (F2C) Data Management in Smart Cities 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva (2018)
      Conference report
      Restricted access - publisher's policy
      A vast amount of data is constantly being produced in the world from several sources, including the IoT at smart cities. Such complex universe of digital data is being set up through these daily accumulated fresh data over ...

    • Estimating smart city sensors data generation: current and future data in the city of Barcelona 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva; Cirera, J.; Grau, G.; Casaus, F. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Restricted access - publisher's policy
      Nowadays, Smart Cities are positioned as one of the most challenging and important research topics, highlighting major changes in people's lifestyle. Technologies such as smart energy, smart transportation or smart health ...

    • Fog-to-Cloud (F2C) Data Management for Smart Cities 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva (The Science and Information (SAI) Organization, 2017)
      Conference report
      Open Access
      Smart cities are the current technological solutions to handle the challenges and complexity of the growing urban density. Traditionally, smart city resources management rely on cloud based solutions where sensors data are ...

    • Hierarchical distributed fog-to-cloud data management in smart cities 

      Sinaeepourfard, Amir (Universitat Politècnica de Catalunya, 2017-11-18)
      Doctoral thesis
      Open Access
      There is a vast amount of data being generated every day in the world with different formats, quality levels, etc. This new data, together with the archived historical data, constitute the seed for future knowledge discovery ...

    • Towards a comprehensive Data LifeCycle model for big data environments 

      Sinaeepourfard, Amir; García Almiñana, Jordi; Masip Bruin, Xavier; Marín Tordera, Eva (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      A huge amount of data is constantly being produced in the world. Data coming from the IoT, from scientific simulations, or from any other field of the eScience, are accumulated over historical data sets and set up the seed ...