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Kenji Shima

dblp:20/3688 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1997
—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

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 architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

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

TopicWeightPapersLastEvidence papers
Distributed systems › fault tolerance
checkpointing
0.011997
Checkpoint and Rollback in Asynchronous Distributed Systems · INFOCOM 1997
Distributed systems › fault tolerance › checkpointing
distributed checkpointing
0.011997
Checkpoint and Rollback in Asynchronous Distributed Systems · INFOCOM 1997
Distributed systems
fault tolerance
0.011997
Checkpoint and Rollback in Asynchronous Distributed Systems · INFOCOM 1997
Distributed systems › fault tolerance
rollback recovery
0.011997
Checkpoint and Rollback in Asynchronous Distributed Systems · INFOCOM 1997

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

checkpointing algorithm · 0.0
YearPublicationVenuePosition
1997 Checkpoint and Rollback in Asynchronous Distributed Systems
abstract
This paper proposes a novel algorithm for taking checkpoints and rolling back the processes for recovery in asynchronous distributed systems. The algorithm has the following properties: (1) multiple processes can simultaneously initiate the checkpointing; (2) no additional message is transmitted for taking checkpoints; (3) a set of local checkpoints taken by multiple processes denotes a consistent global state; (4) multiple processes can initiate simultaneously the rollback recovery; (5) the minimum number of processes are rolled back; and (6) each process is rolled back asynchronously. The number of messages for rolling back the processes is O(l) where l is the number of channels. Therefore, the system is kept highly available by the algorithm presented.
Hiroaki Higaki, Kenji Shima, Takayuki Tachikawa, Makoto Takizawa 0001
INFOCOM2
1996 Fault-tolerant causal delivery in group communication
abstract
In distributed systems, a group of processes are cooperated to execute an application program. A group is established among multiple processes and only processes in the group communicate with each other. This type of group communication is named intra-group communication. The communication system has to support the reliable intra-group communication in the presence of the process fault. In order to tolerate the process fault, each process in the group is replicated into a collection of multiple replicas named a cluster. In this paper, we would like to propose a new intra-group communication protocol which supports the causally ordered delivery of messages for the processes within the group. In addition, the protocol supports the reliable delivery of messages in the presence of the Byzantine faults of the processes.
Kenji Shima, Hiroaki Higaki, Makoto Takizawa 0001
ICPADS1
1987 Hardware Structure of a One-Chip Data Driven Processor: Q-p
Katsuhiko Asada, Hiroaki Terada, Satoshi Matsumoto, Souichi Miyata, Hajime Asano, Hiroki Miura, Masahisa Shimizu, Shinji Komori, Takeshi Fukuhara, Kenji Shima
ICPP10