DocumentCode
3102961
Title
Advanced Control Distributed Processing Architecture (ACDPA) using SDN and Hadoop for identifying the flow characteristics and setting the quality of service(QoS) in the network
Author
Desai, Abhijeet ; Nagegowda, K.S.
Author_Institution
Dept. of Comput. Sci. & Eng., PESIT, Bangalore, India
fYear
2015
fDate
12-13 June 2015
Firstpage
784
Lastpage
788
Abstract
Today the network is seemingly complex and vast and it is difficult to gauge its characteristics. Network administrators need information to check the network behavior for capacity planning, quality of service requirements and planning for the expansion of the network. Software defined networking (SDN) is an approach where we introduce abstraction to simplify the network into two layers, one used for controlling the traffic and other for forwarding the traffic. Hadoop is used for distributed processing. In this paper we combine the abstraction property of SDN and the processing power Hadoop to propose an architecture which we call as Advanced Control Distributed Processing Architecture (ACDPA), which is used to determine the flow characteristics and setting the priority of the flows i.e. essentially setting the quality of service(QoS). We provide experimental details with sample traffic to show how to setup this architecture. We also show the results of traffic classification and setting the priority of the hosts.
Keywords
parallel processing; quality of service; software architecture; software defined networking; ACDPA; Hadoop; QoS; SDN; advanced control distributed processing architecture; capacity planning; flow characteristics; quality of service; software defined networking; Computer architecture; Conferences; Distributed processing; IP networks; Internet; Process control; Protocols; Big data; Hadoop; Mininet; Opendaylight; Quality of service(QoS); Software defined networks(SDN); Wireshark;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location
Banglore
Print_ISBN
978-1-4799-8046-8
Type
conf
DOI
10.1109/IADCC.2015.7154814
Filename
7154814
Link To Document