Search

Concurrent Multipath Transfer (CMT) is a transport layer protocol which provides concurrent data transfer over the multiple paths. CMT improves the available bandwidth utilization, fault tolerance, robustness and reliability of the network. However, in multipath data transfer, destination receives out-of-order data chunk due to dissimilar delay and bandwidth of each path. It causes the serious problem of receiver buffer blocking, unwanted congestion window ( cwnd ) reduction and unnecessary retransmission, which significantly degrades the performance of CMT. Thus, this paper proposes an adaptive data chunk scheduling for CMT (A-CMT). The proposed method uses path delay and bandwidth as a factor of data chunk scheduling to adapt path conditions. The simulation results show that proposed method achieves better performance in terms of throughput; file transfer time and congestion window growth. The proposed method improves average throughput up to 13%. [ABSTRACT FROM AUTHOR]

• We developed a Delay-based Adaptive Congestion Control TCP variant (DACC). • DACC has an initialization method that obtains an optimal initial value for the congestion window. • It has a queueing-delay variation-based scheme that contemplates the contribution of all contention traffic flows. • It has improved performance in goodput, throughput, file transfer time, and fairness. Delay-based congestion control policies of the Transmission Control Protocol (TCP) mainly use the Round-Trip-Time (RTT) and bottleneck queue size to detect congestion. However, these policies identify congestion by only taking into account the contribution of their own data flow. Thus, the congestion identification in these policies fails to be completely accurate. Moreover, these policies experience many packet losses resulting in retransmissions, which can further reduce channel utilization. This article proposes a queuing delay variation-based adaptive congestion control TCP variant, called Delay-based Adaptive Congestion Control (DACC), that considers the presence of background flows. DACC quickly adapts to the current network conditions and adjusts the transmission rate accordingly. The simulation results exemplify the significance of DACC as it yields better outcomes in terms of goodput, Packet Loss Ratio (PLR), inter-protocol fairness, intra-protocol fairness, and fast file transfers. [Display omitted] [ABSTRACT FROM AUTHOR]