Timing is Everything

Wang, Han; Lee, Ki Suh; Li, Erluo; Lim, Chiun Lin; Tang, Ao; Weatherspoon, Hakim

doi:10.1145/2663716.2663746

Cited by 19 publications

(3 citation statements)

References 36 publications

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“…Deployed in the recent decade, Ethernet speeds have been increased from 10 Gbps to 40 Gbps and 100 Gbps and will go in the future towards Terabit per second, as stated in the Ethernet Alliance roadmap [1]. However, implementation and deployment of multi-gigabit applications, optimization of their performance and accuracy of the transmission speed remain significant challenges [2].…”

Section: Introductionmentioning

confidence: 99%

“…The extra layer of indirection makes it hard to optimize application performance. AvB can measure the underlying network and provide performance metrics to the virtualized applications to optimize tasks such as VM placement and route selection [2].Therefore, the general requirements of such time-sensitive networking applications are based on precise and rapid timing measurements, such as low latency, dealing with a limited performance of the end systems (e.g., frequency of the kernel interrupts), adoption of inter-packet interval, etc. In this paper, we address this challenge and aim to evaluate how the accuracy of modern timers can influence the result measurements of network performance under the virtualization conditions.…”

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confidence: 99%

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confidence: 99%

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Impact of Modern Virtualization Methods on Timing Precision and Performance of High-Speed Applications

et al. 2019

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The presented work is a result of extended research and analysis on timing methods precision, their efficiency in different virtual environments and the impact of timing precision on the performance of high-speed networks applications. We investigated how timer hardware is shared among heavily CPU- and I/O-bound tasks on a virtualized OS as well as on bare OS. By replacing the invoked timing methods within a well-known application for estimation of available path bandwidth, we provide the analysis of their impact on estimation accuracy. We show that timer overhead and precision are crucial for high-performance network applications, and low-precision timing methods usage, e.g., the delays and overheads issued by virtualization result in the degradation of the virtual environment. Furthermore, in this paper, we provide confirmation that, by using the methods we intentionally developed for both precise timing operations and AvB estimation, it is possible to overcome the inefficiency of standard time-related operations and overhead that comes with the virtualization. The impacts of negative virtualization factors were investigated in five different environments to define the most optimal virtual environment for high-speed network applications.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Impact of Modern Virtualization Methods on Timing Precision and Performance of High-Speed Applications

et al. 2019

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Bandwidth Estimation for Admission Control in MANET: Review and Conceptual MANET Admission Control Framework

Aina

Yousef

Osanaiye

2018

Advances in Intelligent Systems and Computing

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Mobile ad-hoc network (MANET) is one of the main technologies for the next generation wireless networking because of the positive impact it poses over other wireless networks having undergone rapid progress, which has inspired many applications. However, providing quality of service (QoS) assurance to MANET is hard because of the unpredictable nature of the wireless medium, contention problem amongst the channel, mobility problem and lack of central coordinator. Admission control is therefore seen as one of the methods for providing QoS. Admission control aim at estimating the network resource states and decides whether to admit a session without assuring more resources bandwidth space than what is available, to avoid the violation of any rules that has been previously made. Some recent solution considered the MAC layer back-off impact due to collision as well as the non-synchronization between the sender and receiver when estimating the available bandwidth. None of the previous work proposed a technique that sends a HELLO packet to its one-hop neighbours which further aggregates to the rest of the nodes to retrieve the available bandwidth on a carrier sensing region, in order to limit the impact of additional overhead of the carrier sensing multiple access with collision avoidance (CSMA/CA). Also, none of the existing solution has properly addressed the channel idle time dependency between the sending node and the receiving node by differentiating the BUSY state from the SENSE BUSY states and the IDLE state caused by an empty queue. This paper, therefore reviews the bandwidth estimation techniques for admission control for MANET. The bandwidth estimation techniques for admission control have been categorized into two, active and passive estimation. An outline of each technique has been discussed as well as the proposed conceptual framework. The contribution as identified in this research work is the proposal of conceptual framework that adapts the following into the bandwidth estimation for admission control in MANET: (i) HELLO packet advertisement to one hop which further aggregates to retrieve the available bandwidth on the carrier sensing region, (ii) Considering the channel idle time measurement by differentiating the channel busy state from channel sensing state and regarding an empty queue as an idle state. Future research directions are also outlined.

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FlowTrace : A Framework for Active Bandwidth Measurements Using In-band Packet Trains

Ahmed

Mok

Shafiq

2020

Passive and Active Measurement

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Timing is Everything

Cited by 19 publications

References 36 publications

Impact of Modern Virtualization Methods on Timing Precision and Performance of High-Speed Applications

Impact of Modern Virtualization Methods on Timing Precision and Performance of High-Speed Applications

Bandwidth Estimation for Admission Control in MANET: Review and Conceptual MANET Admission Control Framework

FlowTrace : A Framework for Active Bandwidth Measurements Using In-band Packet Trains

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