An Analysis of Deployment Models of HBase-based Hadoop Platform in Virtualized Computing Environment

Cho, Nayun; Ku, Mino; Rui, Xuhua; Dai, Min

doi:10.1145/2837060.2837085

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Data Input and Output Processes (Dio 14)1

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2019

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“…Another paper [38] proposed a model for designing and developing energyefficient networks that may alleviate some of the bottlenecks in organizations that receive big data in near real-time. One paper [39] noted that "rapid increases in the volume and velocity of data streaming pose technical challenges for capturing, storing, and analyzing massive amount of data".…”

Section: Data Input and Output Processes (Dio 14)mentioning

confidence: 99%

Big Data Redux: New Issues and Challenges Moving Forward

Espinosa

Kaisler

Armour

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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As of the time of this writing, our HICSS-46 proceedings article has enjoyed over 520 Google Scholar citations. We have published several HICSS proceedings, articles and a book on this subject, but none of them have generated this level of interest. In an effort to update our findings six years later, and to understand what is driving this interest, we have downloaded the first 500 citations to our article and the corresponding citing article, when available. We conducted an in-depth literature review of the articles published in top journals and leading conference proceedings, along with articles with a high volume of citations. This paper provides a brief summary of the key concepts in our original paper and reports on the key aspects of interest we found in our review, and also updates our original paper with new directions for future practice and research in big data and analytics.

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Section: Data Input and Output Processes (Dio 14)mentioning

confidence: 99%