A low-latency multipath routing without elephant flow detection for data centers

Chakraborty, Suchandra; Chen, Chien

doi:10.1109/hpsr.2016.7525638

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…The purpose of using VLAN IDs in this research is to make it easier for network administrators to monitor network traffic and collect the different statistical information needed. In further research, there are problems with the data center caused by the detection of elephant flow, which resulted in high network latency [8]. The proposed method is to use multipath routing, which can break down elephant flows into several mice flows that are distributed evenly on the network without detecting elephant flows.…”

Section: A Backgroundmentioning

confidence: 99%

Implementation Failure Recovery Mechanism using VLAN ID in Software Defined Networks

Nurwarsito¹,

Prasetyo²

2023

IJACSA

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Link failure is a common problem that occurs in software-defined networks. The most proposed approach for failure recovery is to use pre-configured backup paths in the switch. However, it may increase the number of traffic packets after the traffic is rerouted through the backup path. In this research, the proposed method is the implementation of a failure recovery mechanism by utilizing the fast failover group feature in OpenFlow to store pre-configured backup paths in the switch. The disrupted traffic packets will be labeled using the VLAN ID, which can be used as a matching field. Due to this capability, VLAN ID can aggregate traffic packets into one entry table as a match field in the forwarding rules. Through implementation and evaluation, it is shown that the system can build a backup path in the switch and reroute the disrupted traffic to the backup path. Based on the parameters used, the results show that the proposed approach achieves a recovery time of around 1.02-1.26ms. Additionally, it can reduce the number of traffic packets and has a low amount of packet loss compared to previous methods.

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Section: A Backgroundmentioning

confidence: 99%

Implementation Failure Recovery Mechanism using VLAN ID in Software Defined Networks

Nurwarsito¹,

Prasetyo²

2023

IJACSA

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“…However, slice spraying can cause packets thar are out of order, which affects the actual performance of the network. FlowBender [28] advocated Load balances distributively at the granularity of flows instead of packets, avoiding excessive packet reordering [29].…”

Section: Samplingmentioning

confidence: 99%

Sonum: Software-Defined Synergetic Sampling Approach and Optimal Network Utilization Mechanism for Long Flow in a Data Center Network

Tan

Cheng

et al. 2019

Applied Sciences

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Long flow detection and load balancing are crucial techniques for data center running and management. However, both of them have been independently studied in previous studies. In this paper, we propose a complete solution called Sonum, which can complete long flow detection and scheduling at the same time. Sonum consists of a software-defined synergetic sampling approach and an optimal network utilization mechanism. Sonum detects long flows through consolidating and processing sampling information from multiple switches. Compared with the existing prime solution, the missed detection rate of Sonum is reduced by 2.3%–5.1%. After obtaining the long flow information, Sonum minimizes the potential packet loss rate as the optimization target and then translates load balancing into an optimization problem of arranging a minimum packet loss path for long flows. This paper also introduces a heuristic algorithm for solving this optimization problem. The experimental results show that Sonum outperforms ECMP and Hedera in terms of network throughput and flow completion time.

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“…1) Traffic Parallelism: Traffic spreading is a well known technique to improve load balancing on the network interfaces [7], [8]. As shown in Fig.…”

Section: B Parallelism In Dcnmentioning

confidence: 99%

On Coding for Reliable VNF Chaining in DCNs

Engelmann¹,

Jukan²,

Pries³

2018

Preprint

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We study how erasure coding can improve service reliability in Data Center Networks (DCN). To this end, we find that coding can be best deployed in systems, where i) traffic is split into multiple parallel sub-flows, ii) each sub-flow is encoded; iii) SFC along with their corresponding Virtual Network Functions (VNF) concatenated are replicated into at least as many VNF instances as there are sub-flows, resulting in parallel sub-SFCs; and iv) all coded sub-flows are distributed over parallel paths and processed in parallel. We study service reliability as function of the level of parallelization within DCN and the resulting amount of redundancy. Based on the probability theory and by considering failures of path segments, VNF and server failures, we analytically derive the probability that parallel subflows are successfully processed by the parallelized SFC and that the original serial traffic can be successfully recovered without service interruptions. We compare the proposed failure protection with coding and the standard backup protection and evaluate the related overhead of both methods, including decoding, traffic redirection and VNF migration. The results not only show the benefit of our scheme for reliability, but also a reduced overhead required in comparison to backup protection.

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A low-latency multipath routing without elephant flow detection for data centers

Cited by 10 publications

References 5 publications

Implementation Failure Recovery Mechanism using VLAN ID in Software Defined Networks

Implementation Failure Recovery Mechanism using VLAN ID in Software Defined Networks

Sonum: Software-Defined Synergetic Sampling Approach and Optimal Network Utilization Mechanism for Long Flow in a Data Center Network

On Coding for Reliable VNF Chaining in DCNs

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