Future Data Center Networking: From Low Latency to Deterministic Latency

Han, Feixue; Wang, Mowei; Cui, Yong; Li, Qing; Liang, Ru‐Ping; Liu, Yashe; Jiang, Yong

doi:10.1109/mnet.102.2000622

Cited by 12 publications

(4 citation statements)

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“…In a burst environment, packet loss due to higher burstiness has been found more frequent at the network edge nodes like ToRs [37]. Burstiness can also lead to higher average buffer queue occupancy and thereby increasing packet drops probability and flow completion time due to buffers overflowed [38,39]. Moreover, high-burst traffic can deteriorate the buffer utilization in the memory shared switches when a certain switch port exhausts the shared buffer resulting from the long received bursty traffic [40].…”

Section: Data Center Trafficmentioning

confidence: 99%

Optical Switching Data Center Networks: Understanding Techniques and Challenges

Zhao,

Xue,

Ren

et al. 2023

Comput. Networks Commun.

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Relying on the flexible-access interconnects to the scalable storage and compute resources, data centers deliver critical communications connectivity among numerous servers to support the housed applications and services. To provide the high-speeds and long-distance communications, the data centers have turned to fiber interconnections. With the stringently increased traffic volume, the data centers are then expected to further deploy the optical switches into the systems infrastructure to implement the full optical switching. This paper first summarizes the topologies and traffic characteristics in data centers and analyzes the reasons and importance of moving to optical switching. Recent techniques related to the optical switching, and main challenges limiting the practical deployments of optical switches in data centers are also summarized and reported.

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Section: Data Center Trafficmentioning

confidence: 99%

Optical Switching Data Center Networks: Understanding Techniques and Challenges

Zhao,

Xue,

Ren

et al. 2023

Comput. Networks Commun.

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“…Then, the authors explore the links from the source node to the destination node to obtain the optimal data traffic link according to the priority level of nodes. Latency is the main KPI in TE-based DC network, Han et al [22] summarize the future DC networking from low latency to deterministic latency. This article focuses on effective latency reduction design, which mainly aims at reducing the queuing delay in switches.…”

Section: Related Workmentioning

confidence: 99%

An Adaptive Control Scheme for Data-Driven Traffic Migration Engineering on 5G Network

Zhang

Min²,

Chen³

2022

Symmetry

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Adaptive control of traffic engineering (TE) based on 5G network function virtualization (NFV) authorizes the efficient and dynamic network resource allocation, whose utilization is increasingly wide and will become more widespread. In this paper, we first devise an adaptive control scheme for data-driven traffic migration engineering (TME) on the 5G virtual network. The proposed TME technology focuses on a 5G enhancing mobile broadband (eMBB) network application scenario and takes the network operating expenditure (OPEX) as the main research target. Firstly, we predict the network traffic of the virtual network through the constructed traffic predicted mathematical model. Then, based on the triangle inequality violation (TIV) theorem, some local network traffic is adaptively migrated when the predicted link traffic exceeds the peak rate. Consequently, the migrations of logical links in the virtual network layer are completed. Finally, our experiments show that the proposed protocol can effectively improve the key performance indicators (KPIs) of the reconfigured network, such as throughput, delay and energy consumption. Furthermore, the Fridman and Holm statistical hypothesis tests are also used to analyze the simulation data, which proves that the proposed approximate TME algorithm has statistical significance.

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“…After briefly examining recently developed features and the complexity of their deployment, he divided these features into three phases, introduced their design rationale, and identified their goals. Finally, the future work was prospected [5]. Although these studies are of great help to data center networks, there are still deficiencies.…”

Section: Introductionmentioning

confidence: 99%

High Availability Design and Information Technology Architecture Optimization of Data Center Network

2023

IJBDIT

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With the rapid development of the Internet, enterprise informatization construction is becoming more and more important, and the rationality of data center network design has become the top priority of enterprise informatization construction. This paper mainly analyzes the high-availability design of the data center network and the optimization of the information technology architecture. When designing a data center network, it is necessary to analyze and plan the network architecture in combination with the specific conditions of the enterprise data center, so as to maximize the reliability of the network system, thereby improving the availability of the data center network. The optimization of information technology architecture also needs to comprehensively consider various factors such as system architecture, equipment functions, performance, and cost, so as to establish an information technology architecture suitable for its own development. Experimental results show that the bandwidth of the optimized data center network can reach 11.5TB/s.

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Future Data Center Networking: From Low Latency to Deterministic Latency

Cited by 12 publications

References 0 publications

Optical Switching Data Center Networks: Understanding Techniques and Challenges

Optical Switching Data Center Networks: Understanding Techniques and Challenges

An Adaptive Control Scheme for Data-Driven Traffic Migration Engineering on 5G Network

High Availability Design and Information Technology Architecture Optimization of Data Center Network

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