F
Fumio Noda
Researcher at Hitachi
Publications - 82
Citations - 1304
Fumio Noda is an academic researcher from Hitachi. The author has contributed to research in topics: Web server & Web service. The author has an hindex of 18, co-authored 82 publications receiving 1304 citations.
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Patent
File format conversion method, and file system, information processing system, electronic commerce system using the method
TL;DR: In this paper, a file system stores a relation between a conversion originating file and a conversion destination file, and synchronously with an issue of a file operation API, the format conversion processes are executed.
Patent
Method and system for managing distributed data
TL;DR: In this article, each server among a plurality of servers cooperating to provide services stores the past communications line state (throughput and latency), and in accordance with the stored communications lines state, cache reference and prefetch are preformed between optional servers.
Patent
Method of managing distributed servers and distributed information processing system using the method
TL;DR: In this paper, the plurality of servers form a multi-cast hierarchy dynamically reconstructed by virtue of mutual support and communication of server status, cache directory and validation is performed on the hierarchy.
Patent
Networking system and parallel networking method
Katsuyoshi Kitai,Satoshi Yoshizawa,Kagimasa Toyohiko,Fumio Noda,Masuoka Yoshimasa,Takamoto Yoshifumi +5 more
TL;DR: In this article, a QOS selector is used to select the communication path using information contained in a routing table in the server computer based on a network address of the network connected to the client computer.
Patent
System using environment manager with resource table in each computer for managing distributed computing resources managed for each application
TL;DR: In this article, a resource table to manage computing resources which are available for an application is provided in a rule such that a plurality of applications can mutually use distributed computing resources and an execution performance can be raised.