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Edmar Mota-Garcia

dblp:07/554 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-authorComputer networks · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet architecture and protocols · 33% Internet of things and sensor networks · 33% Network measurement and analytics · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › time synchronization
clock offset estimation
0.112008
Clock offset estimation using collaborative one-way transit time · SIGMETRICS 2008
Network measurement and analytics
latency measurement
0.112008
Clock offset estimation using collaborative one-way transit time · SIGMETRICS 2008
Internet architecture and protocols
network synchronization
0.112008
Clock offset estimation using collaborative one-way transit time · SIGMETRICS 2008

Methods — techniques the papers use, named apart from their topics

statistical estimation · 0.1gamma distribution modeling · 0.1
YearPublicationVenuePosition
2014 A new model-based clock-offset approximation over IP networks
Edmar Mota-Garcia, Rogelio Hasimoto-Beltrán
Comput. Commun.1
2008 Clock offset estimation using collaborative one-way transit time
abstract
We propose a new collaborative clock offset estimation scheme between two nodes in the Internet using independent one-way offset estimations. Our proposal (different than current schemes in the literature) is intended to provide a fast and accurate clock offset estimation in approximately [Round-Trip Time (RTT)+40]ms. The scheme sends a group of 5 probes in the the forward and reverse paths, and models the One-way Transit Time (OTT) by a Gamma distribution (with parameters adapted to actual path condition) to estimate the minimum distribution value (or long-term minimum OTT value). End nodes exchange their corresponding minimum distribution values to get an improved final clock offset estimate, which takes into account the network path asymmetries. We show that our scheme provides a faster clock offset estimation with lower RMSE and superior stability than NTP and current NTP-like state of the art methodologies in the literature.
Edmar Mota-Garcia, Rogelio Hasimoto-Beltrán
SIGMETRICS1