Abstract
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.
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Acknowledgments
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).
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Suciu, G., Sticlan, A.M., Butca, C., Vulpe, A., Stancu, A., Halunga, S. (2015). Cloud Search Based Applications for Big Data - Challenges and Methodologies for Acceleration. In: Pop, F., Potop-Butucaru, M. (eds) Adaptive Resource Management and Scheduling for Cloud Computing. ARMS-CC 2015. Lecture Notes in Computer Science(), vol 9438. Springer, Cham. https://doi.org/10.1007/978-3-319-28448-4_13
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DOI: https://doi.org/10.1007/978-3-319-28448-4_13
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