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On Hashida

dblp:24/3700 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1995
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 first-authorComputer networks · 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
Network performance modeling · 100%

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

TopicWeightPapersLastEvidence papers
Network performance modeling › queueing analysis › queueing models of computer systems
discrete-time queue		 0.011991
Switched Batch Bernoulli Process (SBBP) and the Discrete-Time SBBP/G/1 Queue with Application to Statistical Multiplexer Performance · IEEE J. Sel. Areas Commun. 1991
Network performance modeling
queueing analysis		 0.011991
Switched Batch Bernoulli Process (SBBP) and the Discrete-Time SBBP/G/1 Queue with Application to Statistical Multiplexer Performance · IEEE J. Sel. Areas Commun. 1991
Network performance modeling
statistical multiplexing		 0.011991
Switched Batch Bernoulli Process (SBBP) and the Discrete-Time SBBP/G/1 Queue with Application to Statistical Multiplexer Performance · IEEE J. Sel. Areas Commun. 1991

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

supplementary variable technique · 0.0probability generating function · 0.0
YearPublicationVenuePosition
1995 Performance Models for Information Communication Networks
On Hashida, Yoshitaka Takahashi, Hideaki Yamashita
 Perform. Evaluation1
1995 Transient Analysis of Fluid Model for ATM Statistical Multiplexer
Takeshi Tanaka, On Hashida, Yukio Takahashi
 Perform. Evaluation2
1991 Switched Batch Bernoulli Process (SBBP) and the Discrete-Time SBBP/G/1 Queue with Application to Statistical Multiplexer Performance
abstract
A doubly stochastic point process is proposed and analyzed. It is a switched batch Bernoulli process (SBBP) for modeling bursty and correlated input to discrete-time queuing systems. Through the investigation of the counting process, statistical characterization measures of the SBBP are explicitly obtained. A discrete-time single-server queue with SBBP input and general service time (SBBP/G/1) is then considered. The SBBP/G/1 queue has a potential applicability to a statistical multiplexer in the network. The supplementary variable technique is used to obtain the probability generating functions of performance measures in the SBBP/G/1 queue. It is shown how the SBBP is suitable for analyzing a discrete-time queue with bursty and correlated input.>
On Hashida, Yoshitaka Takahashi, Shinsuke Shimogawa
 IEEE J. Sel. Areas Commun.1