Cloud Search Based Applications for Big Data - Challenges and Methodologies for Acceleration

  • George Suciu
  • Ana Maria Sticlan
  • Cristina Butca
  • Alexandru VulpeEmail author
  • Alexandru Stancu
  • Simona Halunga
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9438)


Innovation in Search Based Applications (SBAs) requires more than just creation of technology and use of Cloud Computing or Big Data (BD) platforms. Furthermore, the problem of acceleration in the aggregation and analysis of heterogeneous cloud-based data needs to be addressed. This paper fills a gap in the Cloud Computing literature by providing a general overview of the challenges and methodologies for acceleration of search applications for BD. The main contribution of this paper consists in analyzing cloud techniques that can be used for faster search of large volumes of data. Finally, the components and interfaces of the proposed SBA based on EXALEAD CloudView are presented and discussed.


Acceleration Big Data Cloud Computing EXALEAD CloudView Search Based Applications 



The work has been funded by the Sectoral Operational Programme Human Resources Development 2007-2013 of the Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/134398 and supported in part by UEFISCDI Romania under grants no. 20/2012 “Scalable Radio Transceiver for Instrumental Wireless Sensor Networks - SaRaT-IWSN”, TELE-GREEN, NMSDMON, CarbaDetect, MobiWay, EV-BAT and CommCenter projects, grant no. 262EU/2013 “eWALL” support project, grant no. 337E/2014 “Accelerate” project, by European Commission by FP7 IP project no. 610658/2013 “eWALL for Active Long Living - eWALL” and European Union’s Horizon 2020 research and innovation program under grant agreement No. 643963 (SWITCH project).


  1. 1.
    Zhao, Z.Q., Zou, X.R., Li, C.P.: Design of ERP management information system for SME. Appl. Mech. Mater. 608, 440–444 (2014)CrossRefGoogle Scholar
  2. 2.
    Jagadish, H.V., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J.M., Ramakrishnan, R., Shahabi, C.: Big data and its technical challenges. Commun. ACM 57(7), 86–94 (2014)CrossRefGoogle Scholar
  3. 3.
    Dhar, S., Mazumdar, S.: Challenges and best practices for enterprise adoption of big data technologies. In: 2014 IEEE International Technology Management Conference (ITMC), pp. 1–4 (2014)Google Scholar
  4. 4.
    Kashyap, K., Deka, C., Rakshit, S.: A review on big data, hadoop and its impact on business. Int. J. Innovative Res. Dev. 3(12), 1–4 (2014)Google Scholar
  5. 5.
    Waga, D., Rabah, K.: Environmental conditions’ big data management and cloud computing analytics for sustainable agriculture. World J. Comput. Appl. Technol. 2, 73–81 (2014)Google Scholar
  6. 6.
    Ochian, A., Suciu, G., Fratu, O., Suciu, V.: Big data search for environmental telemetry. In: 2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), pp. 182–184 (2014)Google Scholar
  7. 7.
    Hunter, J., Grimm, R.: A JSON facade on MarkLogic server. XML Prague, pp. 25–29 (2011)Google Scholar
  8. 8.
    Feinleib, D.: The big data landscape. In: Big Data Bootcamp, pp. 15–34. Apress (2014)Google Scholar
  9. 9.
    Smiley, D., Pugh, D.E.: Apache Solr 3 Enterprise Search Server. Packt Publishing Ltd., Birmingham (2011)Google Scholar
  10. 10.
    Isabelle, D.A.: Key factors affecting a technology entrepreneur’s choice of incubator or accelerator. Technol. Innov. Manag. Rev. 3(2), 16–22 (2013)Google Scholar
  11. 11.
    Kuesten, C.: Knowledge matters: technology, innovation, and entrepreneurship in innovation networks and knowledge. J. Prod. Innov. Manag. 29(2), 332–334 (2012)CrossRefGoogle Scholar
  12. 12.
    Villaseñor, E., Estrada, H.: Informetric mapping of big data in FI-WARE. In: Proceedings of the 15th Annual International Conference on Digital Government Research, pp. 348–349. ACM (2014)Google Scholar
  13. 13.
    Sand, G., Tsitouras, L., Dimitrakopoulos, G., Chatzigiannakis, V.: A big data aggregation, analysis and exploitation integrated platform for increasing social management intelligence. In: 2014 IEEE International Conference on Big Data, pp. 40–47. IEEE (2014)Google Scholar
  14. 14.
    Neumeyer, X.: Examining the role of inquiry-based learning in entrepreneurship education. In: NCIAA Conference, Washington, DC (2013)Google Scholar
  15. 15.
    Plaza, B.: Google analytics for measuring website performance. Tourism Manag. 32, 477–481 (2011)CrossRefGoogle Scholar
  16. 16.
    Miller, S.A.: Piwik Web Analytics Essentials. Packt Publishing Ltd., Birmingham (2012)Google Scholar
  17. 17.
    Hole, A.W., Prabhakar, L.R.: Design and implementation of content based image retrieval using data mining and image processing techniques. Database 3(3), 219–224 (2015)Google Scholar
  18. 18.
    Grolinger, K.: Data management in cloud environments: NoSQL and NewSQL data stores. J. Cloud Comput. Adv. Syst. Appl. 2(22), 1–24 (2013)Google Scholar
  19. 19.
    Eckstein, R.: Interactive Search Processes in Complex Work Situations: A Retrieval Framework, vol. 10, pp. 62–67. University of Bamberg Press, Bamberg (2011)Google Scholar
  20. 20.
    Chen, H., Chiang, R., Storei, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165–1188 (2012)Google Scholar
  21. 21.
    Suciu, G., Ularu, E.G., Craciunescu, R.: Public versus private cloud adoption—a case study based on open source cloud platforms. In: 20th IEEE Telecommunications Forum (TELFOR), pp. 494-497 (2012)Google Scholar
  22. 22.
    Minelli, M., Chambers, M., Dhiraj, A.: Big data technology, Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Businesses. Wiley, Hoboken (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • George Suciu
    • 1
    • 3
  • Ana Maria Sticlan
    • 3
  • Cristina Butca
    • 2
    • 3
  • Alexandru Vulpe
    • 1
    Email author
  • Alexandru Stancu
    • 1
  • Simona Halunga
    • 1
  1. 1.Faculty of Electronics, Telecommunications and IT, Telecommunication DepartmentUniversity Politehnica of BucharestBucharestRomania
  2. 2.Faculty of Automatic Control and Computers, Computer Science and Engineering DepartmentUniversity Politehnica of BucharestBucharestRomania
  3. 3.R&D DepartmentBeia Consult InternationalBucharestRomania

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