Browsing by Subject "Big data"

Now showing items 1-10 of 10

    • Conference Object  

      AdaM: An adaptive monitoring framework for sampling and filtering on IoT devices 

      Trihinas, Demetris; Pallis, George C.; Dikaiakos, Marios D. (Institute of Electrical and Electronics Engineers Inc., 2015)
      Real-time data processing while the velocity and volume of data generated keep increasing, as well as, energy-efficiency are great challenges of big data streaming which have transitioned to the Internet of Things (IoT) ...
    • Doctoral Thesis  Open Access

      Algorithms and indexing structures for spatial big data 

      Costa, Constantinos E. (Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2018-07)
      Ζούμε στην εποχή των μεγάλων δεδομένων, όπου παράγονται ετερογενή δεδομένα τα οποία αποθηκεύονται με εκθετικό ρυθμό. Τα παραδοσιακά συστήματα διαχείρισης δεδομένων δεν είναι ικανά να συλλέγουν, να διαχειρίζονται και να ...
    • Conference Object  

      Anyplace: A Crowdsourced Indoor Information Service 

      Georgiou, K.; Constambeys, T.; Laoudias, Christos; Petrou, L.; Chatzimilioudis, Georgios; Zeinalipour-Yazdi, Constantinos D. (Institute of Electrical and Electronics Engineers Inc., 2015)
      People do most of their activities, business, commerce, entertainment and socializing indoors. As all of these are increasingly aided by online services and indoor spaces are becoming bigger and more complex, there is a ...
    • Article  

      A cost-effective approach to improving performance of big genomic data analyses in clouds 

      Smowton, C.; Balla, A.; Antoniades, Demetris; Miller, C.; Pallis, George C.; Dikaiakos, Marios D.; Xing, Wei (2017)
      With the rapidly growing demand for DNA analysis, the need for storing and processing large-scale genome data has presented significant challenges. This paper describes how the Genome Analysis Toolkit (GATK) can be deployed ...
    • Conference Object  

      Efficient exploration of telco big data with compression and decaying 

      Costa, Constantinos; Chatzimilioudis, Georgios; Zeinalipour-Yazdi, Constantinos D.; Mokbel, M. F. (IEEE Computer Society, 2017)
      In the realm of smart cities, telecommunication companies (telcos) are expected to play a protagonistic role as these can capture a variety of natural phenomena on an ongoing basis, e.g., traffic in a city, mobility patterns ...
    • Article  

      Managing big data experiments on smartphones 

      Larkou, G.; Mintzis, M.; Andreou, Panayiotis G.; Konstantinidis, Andreas; Zeinalipour-Yazdi, Constantinos D. (2016)
      The explosive number of smartphones with ever growing sensing and computing capabilities have brought a paradigm shift to many traditional domains of the computing field. Re-programming smartphones and instrumenting them ...
    • Conference Object  

      Online social network evolution: Revisiting the Twitter graph 

      Efstathiades, Hariton; Antoniades, Demetris; Pallis, George C.; Dikaiakos, Marios D.; Szlavik, Z.; Sips, R. -J (Institute of Electrical and Electronics Engineers Inc., 2016)
      In 2010 the popular paper by Kwak et al. [11] presented the first comprehensive study of Twitter as it appeared in 2009, using most of the Twitter network at the time. Since then, Twitter's popularity and usage has exploded, ...
    • Conference Object  

      Socially-Aware Multimedia Content Delivery for the Cloud 

      Kilanioti, Irene; Papadopoulos, George Angelos (Institute of Electrical and Electronics Engineers Inc., 2015)
      Most Content Delivery Networks (CDNs) are operated as a Software as a Service (SaaS): Many cloud providers build their custom CDNs to benefit from content users, as well as reduce demand on their own telecommunications ...
    • Conference Object  

      SPATE: Compacting and exploring telco big data 

      Costa, Constantinos; Chatzimilioudis, Georgios; Zeinalipour-Yazdi, Constantinos D.; Mokbel, M. F. (IEEE Computer Society, 2017)
      In this demonstration paper, we present SPATE, an innovative telco big data exploration framework whose objectives are two-fold: (i) minimizing the storage space needed to incrementally retain data over time
    • Conference Object  

      A Web of Things based eco-system for urban computing - towards smarter cities 

      Kamilaris, Andreas; Pitsillides, Andreas; Prenafeta-Bold, F. X.; Ali, M. I. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Environmental awareness and knowledge may help people to take more informed decisions in their everyday lives, ensuring their health and safety. The Web of Things enables embedded sensors to become easily deployed in urban ...