Transmission Control of MPTCP Incast Based on Buffer Balance Factor Allocation in Data Center Networks

Pang, Shanchen; Yao, Jiamin; Wang, Xun; Zhang, Li

doi:10.1109/access.2019.2960180

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…[108,141,199 The scheme maintains the packet assignment ratio to the two subflows equivalent to the throughput ratio of the considered two subflows. Oh and Lee [211] CL-ADSP [146] A-DSP [147] Peng et al [133] Ferlin et al [135] Kaiping et al [168] Zhu et al [219] Elgabli et al [220] Konsgen et al [221] MPTCP [8,122] Xu et al [142] Wu et al [117] NC-MPTCP [48] Ni et al [160] Yang and Amer [159] Lim et al [151] A-MPTCP [209,210] Ferlin et al [217] Thomas et al [226] Pang et al [222] Dong et al [60] CWA-MPTCP [144] Le and Bui [158] Cao et al [212] Choi et al [195] AMTCP [209] Jiyan et al [121] Mmtcp [213] Cui et al [214] Wang et al [172] Kimaura et al [202] BELIA [38] Wu et al [217] Trinh et al [174] Li et al [223] Electronics…”

Section: Optimization Of Mptcp Schedulers For Real-time Applicationsmentioning

confidence: 99%

CMT-SCTP and MPTCP Multipath Transport Protocols: A Comprehensive Review

et al. 2022

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A huge amount of generated data is regularly exploding into the network by the users through smartphones, laptops, tablets, self-configured Internet-of-things (IoT) devices, and machine-to-machine (M2M) communication. In such a situation, satisfying critical quality-of-service (QoS) requirements (e.g., throughput, latency, bandwidth, and reliability) is a large challenge as a vast amount of data travels into the network. Nowadays, strict QoS requirements must be satisfied efficiently in many networked multimedia applications when intelligent multi-homed devices are used. Such devices support the concept of multi-homing. To be precise, they have multiple network interfaces that aim to connect and communicate concurrently with different networking technologies. Therefore, many multipath transport protocols are provided to multi-homed devices, which aim (1) to take advantage of several network paths at the transport layer (Layer-4) and (2) to meet the strict QoS requirements for providing low network latency, higher data rates, and increased reliability. To this end, this survey first presents the challenges/problems for supporting multipath transmission with possible solutions. Then, it reviews recent research efforts related to the concurrent multipath transmission (CMT) protocol and the multipath transmission control protocol (MPTCP). It reviews the latest research efforts by considering (1) how a multipath transport protocol operates (i.e., its functionality); (2) in what type of network; (3) what path characteristics it should consider; and (4) how it addresses various design challenges. Furthermore, it presents some lessons learned and discusses open research issues in multipath transport protocols.

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Section: Optimization Of Mptcp Schedulers For Real-time Applicationsmentioning

confidence: 99%

CMT-SCTP and MPTCP Multipath Transport Protocols: A Comprehensive Review

et al. 2022

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“…J. Hwang et al [44] proposed an MPTCP fast retransmission mechanism to optimize the transmission quality of delay-sensitive data in DCN. S. Pang et al [45] proposed an MPTCP transmission control method based on queue cache balance factor to solve the problem of throughput collapse in DCN, which can realize the load balancing of MPTCP data transmission. J. Hu et al [46] designed a flow-aware load balancing scheme to improve the throughput performance of data transmission in DCN.…”

Section: Research Trends In Theoretical Researchmentioning

confidence: 99%

Focus on Multipath TCP: Introduction, Benefits and Future Research Trends

Ji¹,

Ji²,

Wu³

et al. 2021

ReBICTE

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With the rapid development of mobile video technology and the increasing demand for online videoapplications, people have higher demands on the transmission performance and user experience ofreal-time Internet applications such as video. Multipath transmission is considered as an ideal solutionto improve video transmission performance and user experience quality in wireless networkenvironment. In recent years, the academic research on multipath transmission protocol focuses ondata scheduling, energy consumption optimization, fairness, congestion control and so on, but theresearch on network security is insufficient, especially the research on the anti-damage analysis androbustness optimization of multipath transmission. Based on a comprehensive analysis of the latestresearch trends, this paper makes a beneficial exploration of the future development of end-to-endmultipath transmission over the Internet based on Multipath TCP (MPTCP).

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“…The condition constraint (21) indicates that the proportion of computing resource x c i,j allocated to offloaded tasks T i does not exceed the MEC j total computing resource.…”

Section: A the Optimization Allocation Of Mec Computing Resourcementioning

confidence: 99%

Joint Wireless Source Management and Task Offloading in Ultra-Dense Network

Pang

Wang

2020

IEEE Access

Self Cite

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The ultra-dense network (UDN) based on mobile edge computing (MEC) is an important technology, which can achieve the low-latency of 5G communications and enhance the quality of user experience. However, how to improve the task offloading efficiency is a hot topic of UDN under the constraint on the limited wireless resources. In this article, we propose a heuristic task offloading algorithm HTOA to optimize the delay and energy consumption of offloading tasks in UDN. Firstly, a convex programming model for MEC resource allocation is established, which aims to obtain the optimal allocation set of resources for offloading tasks, and optimize the execution delay of offloading tasks. Followed by, the problem of joint channel allocation and user upload power control is solved by the greedy strategy and golden section method, which aims to optimization the delay and energy consumption of task upload data. Compared with the random task offloading algorithm, numerical simulations show that the algorithm HTOA can effectively reduce the delay and energy consumption of task offloading, and perform better as the number of users increases. INDEX TERMS Ultra-dense network (UDN), mobile edge computing (MEC), task offloading.

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Transmission Control of MPTCP Incast Based on Buffer Balance Factor Allocation in Data Center Networks

Cited by 8 publications

References 22 publications

CMT-SCTP and MPTCP Multipath Transport Protocols: A Comprehensive Review

CMT-SCTP and MPTCP Multipath Transport Protocols: A Comprehensive Review

Focus on Multipath TCP: Introduction, Benefits and Future Research Trends

Joint Wireless Source Management and Task Offloading in Ultra-Dense Network

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