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Latency (engineering)

About: Latency (engineering) is a research topic. Over the lifetime, 7278 publications have been published within this topic receiving 115409 citations. The topic is also known as: lag.


Papers
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Proceedings ArticleDOI
14 Mar 2005
TL;DR: This paper presents a novel scheduling discipline called asynchronous latency guarantee (ALG) scheduling, which provides latency and bandwidth guarantees in accessing a shared media, e.g. a physical link shared between a number of virtual channels.
Abstract: Guaranteed services (GS) are important in that they provide predictability in the complex dynamics of shared communication structures. This paper discusses the implementation of GS in an asynchronous network-on-chip. We present a novel scheduling discipline called asynchronous latency guarantee (ALG) scheduling, which provides latency and bandwidth guarantees in accessing a shared media, e.g. a physical link shared between a number of virtual channels. ALG overcomes the drawbacks of existing scheduling disciplines, in particular, the coupling between latency and bandwidth guarantees. A 0.12 /spl mu/m CMOS standard cell implementation of an ALG link has been simulated. The operation speed of the design was 702 MDI/s.

109 citations

Journal ArticleDOI
TL;DR: In this article, the authors derived the scaling laws of communication latency and computation latency with respect to network-load parameters (density of mobiles and their task-generation rates) and network-resource parameters (bandwidth, density of APs/CSs, and CS computation rate).
Abstract: Next-generation wireless networks will provide users ubiquitous low-latency computing services using devices at the network edge, called mobile edge computing (MEC). The key operation of MEC is to offload computation intensive tasks from users. Since each edge device comprises an access point (AP) and a computer server (CS), an MEC network can be decomposed as a radio access network cascaded with a CS network. Based on the architecture, we investigate network-constrained latency performance, namely communication latency and computation latency, under the constraints of radio-access connectivity and CS stability. To this end, a spatial random network is modeled featuring random node distribution, parallel computing, non-orthogonal multiple access, and random computation-task generation. Given the model and the said network constraints, we derive the scaling laws of communication latency and computation latency with respect to network-load parameters (density of mobiles and their task-generation rates) and network-resource parameters (bandwidth, density of APs/CSs, and CS computation rate). Essentially, the analysis involves the interplay of the theories of stochastic geometry, queueing, and parallel computing. Combining the derived scaling laws quantifies the tradeoffs between the latencies, network connectivity, and network stability. The results provide useful guidelines for MEC-network provisioning and planning by avoiding either of the cascaded radio access network or CS network being a performance bottleneck.

109 citations

Journal ArticleDOI
TL;DR: The mean response latency of Alzheimer's participants was faster than that of elderly controls, which is consistent with the idea that the semantic memory impairments of Alzheimer’s disease patients stem primarily from a reduction in available items rather than retrieval slowing.
Abstract: In 3 experiments, participants generated category exemplars (e.g., kinds of fruits) while a voice key and computer recorded each response latency relative to the onset of responding. In Experiment 1, mean response latency was faster when participants generated exemplars from smaller categories, suggesting that smaller mental search sets result in faster mean latencies. In Experiment 2, a concurrent secondary task increased mean response latency, suggesting that slowed mental processing results in slower mean latencies. In Experiment 3, the mean response latency of Alzheimer's participants was faster than that of elderly controls, which is consistent with the idea that the semantic memory impairments of Alzheimer's disease patients stem primarily from a reduction in available items (as in Experiment 1) rather than retrieval slowing (as in Experiment 2).

108 citations

Proceedings ArticleDOI
26 Mar 2000
TL;DR: This work proposes scalable deployment solutions to control the potential overhead to proxies and particularly to Web servers, and proposes simple techniques that address these factors: pre-resolving host-names (pre-performing DNS lookup), pre-connecting (prefetching TCP connections prior to issuance of HTTP request), and pre-warming.
Abstract: User-perceived latency is recognized as the central performance problem in the Web. We systematically measure factors contributing to this latency, across several locations. Our study reveals that DNS query times, TCP connection establishment, and start-of-session delays at HTTP servers, more so than transmission time, are major causes of long waits. Wait due to these factors also afflicts high-bandwidth users and has detrimental effect on perceived performance. We propose simple techniques that address these factors: (i) pre-resolving host-names (pre-performing DNS lookup); (ii) pre-connecting (prefetching TCP connections prior to issuance of HTTP request); and (iii) pre-warming (sending a "dummy" HTTP HEAD request to Web servers). Trace-based simulations demonstrate a potential to reduce perceived latency dramatically. Our techniques surpass document prefetching in performance improvement per bandwidth used and can be used with non-prefetchable URL. Deployment of these techniques at Web browsers or proxies does not require protocol modifications or the cooperation of other entities. Applicable servers can be identified, for example, by analyzing hyperlinks. Bandwidth overhead is minimal, and so is processing overhead at the user's browser. We propose scalable deployment solutions to control the potential overhead to proxies and particularly to Web servers.

108 citations

Journal ArticleDOI
TL;DR: This study identifies an MEG component (the M350) whose latency mirrors the frequency-effect and identifies a neural component whose latency predicts reaction time has not been discovered.

107 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20222
2021485
2020529
2019533
2018500
2017405