Efficient load balancing over asymmetric datacenter topologies

Irteza, Syed Mohammad; Bashir, Hafiz Mohsin; Anwar, Talal; Qazi, Ihsan Ayyub; Dogar, Fahad R.

doi:10.1016/j.comcom.2018.05.010

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…SAPS [45] is an SDN based approach that utilizes packet spraying over symmetric virtual topologies, which is a subset of paths between source and destination with symmetric capacity and delay. The centralized control plane detects asymmetries and data plane enforces packet spraying.…”

Section: ) Finer-granularity-basedmentioning

confidence: 99%

Survey on Traffic Management in Data Center Network: From Link Layer to Application Layer

Liu

Wang

et al. 2021

IEEE Access

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Due to the explosive growth of all kinds of Internet services, data centers have become an irreplaceable and vital infrastructure to support this soaring trend. Compared with traditional networks, data center networks (DCNs) have unique features, such as high bandwidth, low latency, many-to-one communication mode, shallow buffered switches, and multi-root topology. These new characteristics pose a lot of challenges to previous network technics (e.g., Ethernet, Equal Cost Multi-path (ECMP), TCP), making them hard to adapt to DCNs and leading to severe performance degradation. In order to solve these challenges, DCNs have attracted a lot of attention from the industry and academia in recent years, and many new mechanisms in different layers are proposed to improve the transmission performance of data center networks. In the meantime, many surveys have emerged currently to introduce the current research of data center networks. However, previous surveys of DCNs mainly focus on only one specific network layer, making them difficult for readers to know about advanced researches on a holistic level. To help readers comprehend the current research progress of data center networks quickly, we employ a multi-layered top down taxonomy to classify the literature and propose several probable dimensions for future research in this area.

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Section: ) Finer-granularity-basedmentioning

confidence: 99%

Survey on Traffic Management in Data Center Network: From Link Layer to Application Layer

Liu

Wang

et al. 2021

IEEE Access

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Oddlab: fault-tolerant aware load-balancing framework for data center networks

Alawadi

Molnár

2021

Ann. Telecommun.

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Data center networks (DCNs) act as critical infrastructures for emerging technologies. In general, a DCN involves a multi-rooted tree with various shortest paths of equal length from end to end. The DCN fabric must be maintained and monitored to guarantee high availability and better QoS. Traditional traffic engineering (TE) methods frequently reroute large flows based on the shortest and least-congested paths to maintain high service availability. This procedure results in a weak link utilization with frequent packet reordering. Moreover, DCN link failures are typical problems. State-of-the-art approaches address such challenges by modifying the network components (switches or hosts) to discover and avoid broken connections. This study proposes Oddlab (Odds labels), a novel deployable TE method to guarantee the QoS of multi-rooted data center (DC) traffic in symmetric and asymmetric modes. Oddlab creatively builds a heuristic model for efficient flow scheduling and faulty link detection by exclusively using the gathered statistics from the DCN data plane, such as residual bandwidth and the number of installed elephant flows. Besides, the proposed method is implemented in an SDN-based DCN without altering the network components. Our findings indicate that Oddlab can minimize the flow completion time, maximize bisection bandwidth, improve network utilization, and recognize faulty links with sufficient accuracy to improve DC productivity.

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An adaptive, fault tolerant, flow-level routing scheme for data center networks

Sharma

Yadav

2020

Computer Networks

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Efficient load balancing over asymmetric datacenter topologies

Cited by 4 publications

References 8 publications

Survey on Traffic Management in Data Center Network: From Link Layer to Application Layer

Survey on Traffic Management in Data Center Network: From Link Layer to Application Layer

Oddlab: fault-tolerant aware load-balancing framework for data center networks

An adaptive, fault tolerant, flow-level routing scheme for data center networks

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