@inproceedings{3e17d183213a42119bfc50a955114dd4,
title = "Compression accelerator for hadoop appliance",
abstract = "In this paper, we propose an accelerator for Hadoop appliances. Data servers receive significant data traffic because of several services based on networks. Processing such big data requires sufficient communication bandwidth for big data management. In order to increase communication bandwidth, compression algorithms are adopted in Hadoop appliances, although additional computation overhead is required. Our accelerator compresses data from a PCIe (Peripheral Component Interconnect Express) interface, thus reducing the size of data that should be transmitted through a network. As a result, computation overhead of the main processor in a server is decreased and communication bandwidth is increased.",
keywords = "Compression Accelerator, FPGA, Hadoop, LZ4, PCI Express",
author = "Kim, \{Sang Don\} and Lee, \{Seong Mo\} and Lee, \{Sang Muk\} and Jang, \{Ji Hoon\} and Son, \{Jae Gi\} and Kim, \{Young Hwan\} and Lee, \{Seung Eun\}",
year = "2014",
doi = "10.1007/978-3-319-11167-4\_41",
language = "English",
isbn = "9783319111667",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "416--423",
booktitle = "Internet of Vehicles - Technologies and Services - First International Conference, IOV 2014, Proceedings",
note = "1st International Conference on Internet of Vehicles, IOV 2014 ; Conference date: 01-09-2014 Through 03-09-2014",
}