scispace - formally typeset
M

Masayoshi Shimamura

Researcher at Tokyo Institute of Technology

Publications -  19
Citations -  64

Masayoshi Shimamura is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Network packet & Throughput. The author has an hindex of 5, co-authored 19 publications receiving 63 citations. Previous affiliations of Masayoshi Shimamura include Nara Institute of Science and Technology & Kyushu Institute of Technology.

Papers
More filters
Proceedings ArticleDOI

End-to-End Header Compression over Software-Defined Networks: A Low Latency Network Architecture

TL;DR: The authors propose a new header compression mechanism which can be deployed in end-to-end nodes using the Software-Defined Network concept and can reduce both packet size and time delay.
Proceedings ArticleDOI

Better network latency with end-to-end header compression in SDN architecture

TL;DR: This work proposes a new header compression mechanism that can be deployed in end-to-end nodes using the software-defined networking concept in contrast to conventional header compression where the compression procedure works on a hop-by-hop basis.
Proceedings ArticleDOI

Initial CWND determination method for fast startup TCP algorithms

TL;DR: This paper focuses on the initial window size and Rate-Based Pacing start method, which is employed by many of fast startup algorithms, and compares the performance of the RBP start method with that of the normal TCP.
Proceedings ArticleDOI

Architecture for resource controllable NVE to meet service providers' dynamic QoS demands

TL;DR: This work proposes an architecture in which SPs can select appropriate resources from available resources and dynamically use the allocated resources depending on their application characteristics and user situations to meet their demands, and can balance QoS and resource efficiency.
Proceedings ArticleDOI

Effects of routing granularity on communication performance in OpenFlow networks

TL;DR: The results suggest dynamic changes in the routing granularity be considered for efficient traffic control.