3 Search Results for "Eardley, Philip"

Document
DOI: 10.4230/DagRep.11.5.54
Compute-First Networking (Dagstuhl Seminar 21243)

Authors: Jon Crowcroft, Philip Eardley, Dirk Kutscher, and Eve M. Schooler

Published in: Dagstuhl Reports, Volume 11, Issue 5 (2021)

Abstract
A Dagstuhl seminar on Compute-First Networking (CFN) was held online from June 14th to June 16th 2021. We discussed the opportunities and research challenges for a new approach to in-network computing, which aims to overcome limitations of traditional edge/in-network computing systems. The seminar discussed relevant use cases such as privacy-preserving edge video processing, connected and automated driving, and distributed health applications leveraging federated machine learning. A discussion of research challenges included an assessment of recent and expected future developments in networking and computing platforms and the consequences for in-network computing as well as an analysis of hard problems in current edge computing architectures. We exchanged ideas on a variety of research topics and about the results of corresponding activities in the larger fields of distributed computing and network data plane programmability. We also discussed a set of suggested PhD topics and promising future research directions in the CFN space such as split learning that is supported by in-network computing.
Cite as

Jon Crowcroft, Philip Eardley, Dirk Kutscher, and Eve M. Schooler. Compute-First Networking (Dagstuhl Seminar 21243). In Dagstuhl Reports, Volume 11, Issue 5, pp. 54-75, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Article{crowcroft_et_al:DagRep.11.5.54,
  author =	{Crowcroft, Jon and Eardley, Philip and Kutscher, Dirk and Schooler, Eve M.},
  title =	{{Compute-First Networking (Dagstuhl Seminar 21243)}},
  pages =	{54--75},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{11},
  number =	{5},
  editor =	{Crowcroft, Jon and Eardley, Philip and Kutscher, Dirk and Schooler, Eve M.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.11.5.54},
  URN =		{urn:nbn:de:0030-drops-155706},
  doi =		{10.4230/DagRep.11.5.54},
  annote =	{Keywords: Distributed Machine Learning, distributed systems, edge-computing, in-network computing, networking}
}
Document
DOI: 10.4230/DagRep.6.1.15
Global Measurements: Practice and Experience (Dagstuhl Seminar 16012)

Authors: Vaibhav Bajpai, Arthur W. Berger, Philip Eardley, Jörg Ott, and Jürgen Schönwälder

Published in: Dagstuhl Reports, Volume 6, Issue 1 (2016)

Abstract
This article summarises a 2.5 day long Dagstuhl seminar on Global Measurements: Practice and Experience held in January 2016. This seminar was a followup of the seminar on Global Measurement Frameworks held in 2013, which focused on the development of global Internet measurement platforms and associated metrics. The second seminar aimed at discussing the practical experience gained with building these global Internet measurement platforms. It brought together people who are actively involved in the design and maintenance of global Internet measurement platforms and who do research on the data delivered by such platforms. Researchers in this seminar have used data derived from global Internet measurement platforms in order to manage networks or services or as input for regulatory decisions. The entire set of presentations delivered during the seminar is made publicly available at [1].
Cite as

Vaibhav Bajpai, Arthur W. Berger, Philip Eardley, Jörg Ott, and Jürgen Schönwälder. Global Measurements: Practice and Experience (Dagstuhl Seminar 16012). In Dagstuhl Reports, Volume 6, Issue 1, pp. 15-33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{bajpai_et_al:DagRep.6.1.15,
  author =	{Bajpai, Vaibhav and Berger, Arthur W. and Eardley, Philip and Ott, J\"{o}rg and Sch\"{o}nw\"{a}lder, J\"{u}rgen},
  title =	{{Global Measurements: Practice and Experience (Dagstuhl Seminar 16012)}},
  pages =	{15--33},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{1},
  editor =	{Bajpai, Vaibhav and Berger, Arthur W. and Eardley, Philip and Ott, J\"{o}rg and Sch\"{o}nw\"{a}lder, J\"{u}rgen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.6.1.15},
  URN =		{urn:nbn:de:0030-drops-58079},
  doi =		{10.4230/DagRep.6.1.15},
  annote =	{Keywords: Internet measurements, Quality of experience, Traffic engineering}
}
Document
DOI: 10.4230/DagRep.3.11.144
Global Measurement Framework (Dagstuhl Seminar 13472)

Authors: Philip Eardley, Marco Mellia, Jörg Ott, Jürgen Schönwälder, and Henning Schulzrinne

Published in: Dagstuhl Reports, Volume 3, Issue 11 (2014)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 13472 "Global Measurement Framework".
Cite as

Philip Eardley, Marco Mellia, Jörg Ott, Jürgen Schönwälder, and Henning Schulzrinne. Global Measurement Framework (Dagstuhl Seminar 13472). In Dagstuhl Reports, Volume 3, Issue 11, pp. 144-153, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{eardley_et_al:DagRep.3.11.144,
  author =	{Eardley, Philip and Mellia, Marco and Ott, J\"{o}rg and Sch\"{o}nw\"{a}lder, J\"{u}rgen and Schulzrinne, Henning},
  title =	{{Global Measurement Framework (Dagstuhl Seminar 13472)}},
  pages =	{144--153},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{3},
  number =	{11},
  editor =	{Eardley, Philip and Mellia, Marco and Ott, J\"{o}rg and Sch\"{o}nw\"{a}lder, J\"{u}rgen and Schulzrinne, Henning},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.3.11.144},
  URN =		{urn:nbn:de:0030-drops-44401},
  doi =		{10.4230/DagRep.3.11.144},
  annote =	{Keywords: Internet measurements, Quality of experience, Network management, Traffic engineering}
}
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