José R. Arias

dblp:77/1326 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%
Computer networks
1 paper
Content delivery and video streaming · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia systems and quality of experience
quality of service
0.012002
A set of metrics for evaluation of interactive news-on-demand systems · ACM Multimedia 2002
Multimedia systems and quality of experience › video streaming
video-on-demand
0.012002
A set of metrics for evaluation of interactive news-on-demand systems · ACM Multimedia 2002
Performance modeling and evaluation
benchmarking
0.012002
A set of metrics for evaluation of interactive news-on-demand systems · ACM Multimedia 2002
Performance modeling and evaluation
workload characterization
0.012002
A set of metrics for evaluation of interactive news-on-demand systems · ACM Multimedia 2002

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

metrics design · 0.1load generation · 0.1
YearPublicationVenuePosition
2003 Measuring End-to-End Quality of a News-on-Demand Web Service
José R. Arias, Francisco J. Suárez, Daniel F. García, J. Ignacio Marín
ICWE1
2002 A set of metrics for evaluation of interactive news-on-demand systems
abstract
A key issue in any system for distribution of continuous media-on-demand is the capacity of the system with regard to quality of the service specifications, that is, the number of simultaneous streams the system can provide until degradation of quality of reproduction and interactivity perceived by the users. This work presents the evaluation of interactive video-on-demand systems, with special attention to limitations caused by the video server. The evaluation is based on a set of metrics designed to determine the number of streams a video server can support under specific requirements of quality of the service as perceived by the users. To validate the utility of these metrics, a prototype of a news-on-demand service has been built and the load for this kind of systems has been characterised. In addition, a load generator which emulates the concurrent access of several users to the system has been built. The evaluation establishes the relationship between the video server limitations and the quality of the service perceived by the users.
José R. Arias, Francisco J. Suárez, Daniel F. García, Xabiel G. Pañeda, Víctor G. García
ACM Multimedia1