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A Study on Speeding up Spark with Big Data Compression through Xeon/FPGA in VMware Virtualization Communication Model
2017
International Journal for Research in Applied Science and Engineering Technology
Cloud computing provides a promising platform for big sensing data processing and storage as it provides a flexible stack of massive computing, storage, and software services in a scalable manner. Due to the high volume and velocity of big sensing data, traditional data compression techniques lack sufficient efficiency and scalability for data processing. Based on specific on-Cloud data compression requirements, In addition to different compression technologies and methodologies, selection of a
doi:10.22214/ijraset.2017.9236
fatcat:2hx3pq3kmvfhzccgoe7i43y7me