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Where Has My Time Gone?

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Grosvenor, M 
Popescu, DA 
Manihatty Bojan, N 

Abstract

Time matters. In a networked world, we would like mobile devices to provide a crisp user experience and applications to instantaneously return results. Unfortunately, application performance does not depend solely on processing time, but also on a number of different components that are commonly counted in the overall system latency. Latency is more than just a nuisance to the user, poorly accounted-for, it degrades application performance. In fields such as high frequency trading, as well as in many data centers, latency translates easily to fi- nancial losses. Research to date has focused on specific contributions to latency: from improving latency within the network to latency control on the application level. This paper takes an holistic approach to latency, and aims to provide a break-down of end-to-end latency from the application level to the wire. Using a set of crafted experiments, we explore the many contributors to latency. We assert that more attention should be paid to the latency within the host, and show that there is no silver bullet to solve the end-to-end latency challenge in data centers. We believe that a better understanding of the key elements influencing data center latency can trigger a more focused research, improving the user’s quality of experience.

Description

Keywords

4605 Data Management and Data Science, 46 Information and Computing Sciences

Journal Title

Lecture Notes in Computer Science (LNCS)

Conference Name

Passive and Active Measurement Conference (PAM) 2017

Journal ISSN

0302-9743
1611-3349

Volume Title

10176

Publisher

Springer
Sponsorship
European Commission Horizon 2020 (H2020) Industrial Leadership (IL) (644866)
Engineering and Physical Sciences Research Council (EP/K034723/1)
European Commission Horizon 2020 (H2020) Industrial Leadership (IL) (644960)
European Commission FP7 Marie Curie Innovative Training Networks (ITN) (607764)
This work has received funding from the EPSRC grant EP/K034723/1, Leverhulme Trust Early Career Fellowship ECF-2016-289, European Union’s Horizon 2020 research and innovation programme 2014-2018 under the SSICLOPS (grant agreement No. 644866), ENDEAVOUR (grant agreement No. 644960) and EU FP7 Marie Curie ITN METRICS (grant agreement No. 607728).
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