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Phillipa Sessini

dblp:79/3270 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1

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
Network optimization and economics · 46% Content delivery and video streaming · 30% Edge and fog computing · 23%

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

TopicWeightPapersLastEvidence papers
Network optimization and economics › resource allocation
bandwidth optimization
0.112006
Scalable streaming for heterogeneous clients · ACM Multimedia 2006
Edge and fog computing › edge devices
heterogeneous edge clients
0.112006
Scalable streaming for heterogeneous clients · ACM Multimedia 2006
Content delivery and video streaming › video broadcasting
periodic broadcast
0.112006
Scalable streaming for heterogeneous clients · ACM Multimedia 2006
Network optimization and economics
resource allocation
0.112006
Scalable streaming for heterogeneous clients · ACM Multimedia 2006
Content delivery and video streaming
streaming protocol
0.012006
Scalable streaming for heterogeneous clients · ACM Multimedia 2006

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

work-ahead buffering · 0.1linear optimization · 0.1
YearPublicationVenuePosition
2006 Scalable streaming for heterogeneous clients
abstract
Periodic broadcast protocols enable the efficient streaming of highly popular media files to large numbers of concurrent clients. Most previous periodic broadcast protocols, however, assume that all clients can receive at the same rate, and also assume that available bandwidth is not time-varying. In this paper, we first develop a new periodic broadcast protocol, Optimized Heterogeneous Periodic Broadcast (OHPB), that can be optimized for a given population of clients with heterogeneous reception bandwidths and quality-of-service requirements. The OHPB protocol utilizes an optimized segment size progression determined by solving a linear optimization model that takes as input the client population characteristics and an objective function such as mean client startup delay. We then propose complementary client protocols employing work-ahead buffering of data during playback, so as to enable more uniform playback quality when the available bandwidth is time-varying.
Liqi Shi, Phillipa Sessini, Anirban Mahanti, Zongpeng Li, Derek L. Eager
ACM Multimedia2