Load Distribution Scheme to Split the Data on Multiple Paths
Keywords:
Big Data, QoS, Load Distribution, Multipath Routing, Multiple Paths, Quality of Service, Bandwidth, Delay.Abstract
Internet has become need of the hour. In the current scenario of Internet, there has been a tremendous increase in the amount of data being transferred among Internet users. This huge amount of data is termed as big data. Big Data concerns large-volume, complex, growing data sets with multiple, autonomous sources. Big data brings big insights. The most fundamental application for the Big Data is to explore the large volumes of data and extract useful information or knowledge for future business actions . Big data not only includes traditional files but also audio, video and graphics. QoS (Quality of Service) routing mechanism can play an important role for the successful transmission of these data while maintaining its quality. Using multi path strategy, QoS routing can be more valuable. If the source has multiple disjoint paths to transfer the flow, it may use multiple paths altogether by distributing the load .This paper proposes a load distribution scheme for the efficient transmission of data.
References
- S.Upadhaya, G.Devi,"Exploring Issues for QoS Based Routing Algorithms" published in International Journal on Computer Science and Engineering (E-ISSN : 0975-3397 ) Vol. 02, No. 05, 1792-1795,2010.
- S.Upadhaya, G.Devi "Quality of Service Routing: A Multi-Path Approach" published in International journal of Computer Science & Network Solutions January , 2014-Volume 2.No1 ISSN 2345-3397
- Z. Wang and J. Crowcroft, "Quality-of-service routing for supporting multimedia applications," IEEE J. Select. Areas Commun., vol. 14, pp. 1228–1234, Sept. 1996.
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