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Path associativity centralized explicit congestion control (PACEC) for SDN
Hertiana S.N.a,b, Kurniawan A.a, Hendrawana, Pasaribu U.S.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
b Telkom University, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.This paper proposes a new algorithm called Path Associativity Centralized Explicit Congestion Control (PACEC). PACEC works on a Software Defined Networking (SDN) framework. In PACEC, a congestion control decision is based on global information network conditions. PACEC uses global information network to identify network resources along the path from the source to the destination and provides this information to end systems. This solution allows more efficient network capacity because the decision is based on real-time information about the path network states. Based on the information, PACEC gives the controller to view the available path capacity and make congestion control decisions. In this paper, we describe and discuss the results of the PACEC evaluation using emulator mininet with Ryu controller. The results show that PACEC has the ability to provide necessary information for the traffic source and makes the right congestion control decisions and to avoid full queue problem. This shows that PACEC has the possibility to provide better performance than other explicit congestion control protocols.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Explicit congestion controls,Global informations,Network Capacity,Network resource,PACEC,Real-time information,Software defined networking (SDN),Traffic sources[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]congestion control,PACEC,SDN[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]ACKNOWLEDGMENT This research is funded by the Government of Republic of Indonesia, through “Penelitian Disertasi Doktor” scheme in the year 2017. We would like to thank the Government for financial support of the research.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICCEREC.2017.8226679[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]