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Conference Paper Distributed Memory Integration System for High Performance Data Processing
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Authors
Eun-Ji Lim, Young-Ho Kim, Shin-Young Ahn, Gyu-Il Cha
Issue Date
2014-11
Citation
International Conference on Future Web (ICFW) 2014, pp.1-8
Language
English
Type
Conference Paper
Abstract
Recently, as the interest in large-scale data analysis increases, researches and developments relating to the technology for high-speed storing and processing large amounts of data become more active. Accordingly, the user demands for large main memory and the memory cloud service increase more and more. In this paper we design and implement a distributed memory integration system which integrates memory of nodes in a large-scale distributed system. Our system integrates a plurality of memory granting nodes and maintains and manages the distributed memory pool. Our system can provide applications with a huge virtual physical memory which may exceeds the size of the local memory. Thus it can improve the performance of the big data processing applications and furthermore it is possible to realize the memory cloud service. We implemented the prototype of the distributed memory integration system on the Linux Operating System.
KSP Keywords
Cloud service, Distributed System(DS), High Performance Data, High Speed, Integration System, LINUX operating system, Local Memory, Physical Memory, Researches and developments, big data processing, distributed memory