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Reducing Internet Latency : A Survey of Techniques and Their Merits

Briscoe, Bob (författare)
BT, Ipswich IP5 3RE, Suffolk, England
Brunström, Anna, 1967- (författare)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
Petlund, Andreas (författare)
Simula Res Lab AS, N-1364 Fornebu, Norway.
visa fler...
Hayes, David (författare)
Univ Oslo, N-0316 Oslo, Norway.
Ros, David (författare)
Simula Res Lab AS, N-1364 Fornebu, Norway.
Tsang, Ing-Jyh (författare)
Alcatel Lucent, Bell Labs, B-2018 Antwerp, Belgium.
Gjessing, Stein (författare)
Univ Oslo, N-0316 Oslo, Norway.
Fairhurst, Gorry (författare)
Univ Aberdeen, Aberdeen AB24 3FX, Scotland.
Griwodz, Carsten (författare)
Simula Res Lab AS, N-1364 Fornebu, Norway.
Welzl, Michael (författare)
Univ Oslo, N-0316 Oslo, Norway.
visa färre...
 (creator_code:org_t)
IEEE, 2016
2016
Engelska.
Ingår i: IEEE Communications Surveys and Tutorials. - : IEEE. - 1553-877X. ; 18:3, s. 2149-2196
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Latency is increasingly becoming a performance bottleneck for Internet Protocol (IP) networks, but historically, networks have been designed with aims of maximizing throughput and utilization. This paper offers a broad survey of techniques aimed at tackling latency in the literature up to August 2014, as well as their merits. A goal of this work is to be able to quantify and compare the merits of the different Internet latency reducing techniques, contrasting their gains in delay reduction versus the pain required to implement and deploy them. We found that classifying techniques according to the sources of delay they alleviate provided the best insight into the following issues: 1) The structural arrangement of a network, such as placement of servers and suboptimal routes, can contribute significantly to latency; 2) each interaction between communicating endpoints adds a Round Trip Time (RTT) to latency, particularly significant for short flows; 3) in addition to base propagation delay, several sources of delay accumulate along transmission paths, today intermittently dominated by queuing delays; 4) it takes time to sense and use available capacity, with overuse inflicting latency on other flows sharing the capacity; and 5) within end systems, delay sources include operating system buffering, head-of-line blocking, and hardware interaction. No single source of delay dominates in all cases, and many of these sources are spasmodic and highly variable. Solutions addressing these sources often both reduce the overall latency and make it more predictable.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Nyckelord

Data communication
networks
Internet
performance
protocols
algorithms
standards
cross-layer
comparative evaluation
taxonomy
congestion control
latency
queuing delay
bufferbloat
Computer Science
Datavetenskap

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