期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：1
页码：30-35
出版社：IJCSN publisher
摘要：The inevitable accumulation of data leads to Big Data problems. Receive and transmit the data assumes high speed wired
or wireless communications technology and processing environment. With the advancements of wired and wireless technologies, data
transceiver problems are addressed, however, data processing is a challenging part in Big Data. There is a need to find data process
simulation techniques for higher volumes of data to cope with the advancements of device level technologies. In this paper, a largescale
data-intensive all-to-all comparison-like problem is addressed with most widely used Simulated Annealing Algorithm (SAA)
techniques, implemented in distributed or clustered systems to process data sets among several processor nodes. Results show that the
techniques of SAA with Custom Datasets suit well on distributed network of processor nodes irrespective of wired or wireless to
process data at large-scale.
关键词：Big Data; Communication Speed; Terahertz; Data Processing; Optimization
