Workload merging potential in SAP Hybris

Rehrmann, Robin; Keppner, Martin; Lehner, Wolfgang; Binnig, Carsten; Schwarz, Arne Kristian

doi:10.1145/3395032.3395326

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Beyond user Quality of Experience (QoE), fast PLT is also a necessity for business. For example, Amazon has previously stated that a one second PLT delay results in $1.6B loss in revenue [3] In pursuit of faster PLT previous studies have looked at the problem from the perspective of web browser optimisation [4] or Internet caches [5]. However, these approaches are unable to address a key cause of slow PLT: packet loss during connection establishment.…”

Section: Introductionmentioning

confidence: 99%

Herding the FLOQ: Flow Optimised Queueing

Yanev

Harvey

2022

2022 IFIP Networking Conference (IFIP Networking)

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With more people working remotely, the demands placed on network operators to deliver high quality connectivity to users is at an all time high. This is especially true for web page responsiveness, a human-centric activity. Several approaches strive to ensure high quality of service (QoS) from within the browser or in-network caching, however, they do not target a core culprit of low QoS: initial packet loss in connection establishment.Existing works address packet loss via the active management of packet flows within network middleboxes, however, they do not address this specific type of packet loss directly.This work introduces a new active queue management algorithm: FLow Optimised Queueing (FLOQ). FLOQ is designed to decrease packet loss during connection establishment without affecting overall network performance. Through experimental comparison with other AQM algorithms, our preliminary results show that FLOQ solves this problem, speeding up request completion times by up to 70%, improving TCP throughput by up to 20%, and decreasing UDP packet loss by up to 23%.

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Section: Introductionmentioning

confidence: 99%

Herding the FLOQ: Flow Optimised Queueing

Yanev

Harvey

2022

2022 IFIP Networking Conference (IFIP Networking)

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TridentKV: A Read-Optimized LSM-Tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning

Zhao

Wan

et al. 2022

IEEE Trans. Parallel Distrib. Syst.

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Sharing opportunities for OLTP workloads in different isolation levels

et al. 2020

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OLTP applications are usually executed by a high number of clients in parallel and are typically faced with high throughput demand as well as a constraint latency requirement for individual statements. Interestingly, OLTP workloads are often read-heavy and comprise similar query patterns, which provides a potential to share work of statements belonging to different transactions. Consequently, OLAP techniques for sharing work have started to be applied also to OLTP workloads, lately. In this paper, we present an approach for merging read statements within interactively submitted multi-statement transactions consisting of reads and writes. We first define a formal framework for merging transactions running under a given isolation level and provide insights into a prototypical implementation of merging within a commercial database system. In our experimental evaluation, we show that, depending on the isolation level, the load in the system and the read-share of the workload, an improvement of the transaction throughput by up to a factor of 2.5X is possible without compromising the transactional semantics.

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Workload merging potential in SAP Hybris

Cited by 3 publications

References 17 publications

Herding the FLOQ: Flow Optimised Queueing

Herding the FLOQ: Flow Optimised Queueing

TridentKV: A Read-Optimized LSM-Tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning

Sharing opportunities for OLTP workloads in different isolation levels

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