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Jin Gon Shon

dblp:41/4403 · DBLP profile ↗
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6ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-0540-4640ORCID · verified

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

Systems, architecture and hardware · 2Computer networks · 1Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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
Cellular and mobile networks · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 50% Storage systems · 50%

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

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
mobility management
0.012001
Restoration scheme of mobility databases by mobility learning and prediction in PCS networks · IEEE J. Sel. Areas Commun. 2001
Cellular and mobile networks › mobility management
mobility prediction
0.012001
Restoration scheme of mobility databases by mobility learning and prediction in PCS networks · IEEE J. Sel. Areas Commun. 2001
Cellular and mobile networks › mobile networks
personal communications services
0.012001
Restoration scheme of mobility databases by mobility learning and prediction in PCS networks · IEEE J. Sel. Areas Commun. 2001
Storage systems
database recovery
0.012001
Restoration scheme of mobility databases by mobility learning and prediction in PCS networks · IEEE J. Sel. Areas Commun. 2001
Distributed systems
fault tolerance
0.012001
Restoration scheme of mobility databases by mobility learning and prediction in PCS networks · IEEE J. Sel. Areas Commun. 2001

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

prediction · 0.1neuro-fuzzy inference system · 0.1mobility learning · 0.1
YearPublicationVenuePosition
2019 Differential data processing technique to improve the performance of wireless sensor networks
Kwang Kyu Lim, Jin Gon Shon
J. Supercomput.3
2015 A Clustering Method using Entropy for Grouping Students
Byoung Wook Kim, Jon Mason, Jin Gon Shon
ICCE3
2007 A Design of Cooperation Management System to Improve Reliability in Resource Sharing Computing Environment
Kwang-Sik Chung, Jin Gon Shon
GPC3
2004 Region-based Stage Construction Protocol for Fault tolerant Execution of Mobile Agent
abstract
Fault tolerance is essential to the development of reliable mobile agent systems in order to guarantee continuous execution of mobile agents. For this purpose, previous work has proposed fault tolerant protocols for mobile agent execution based on stage construction. However, when previous protocols are applied to a multiregion mobile agent computing environment, the overhead of work such as monitoring, election, voting and agreement is increased. We propose a region-based stage construction (RBSC) protocol for fault tolerant execution of mobile agents in a multiregion mobile agent computing environment. The RBSC protocol uses new concepts of quasiparticipant and substage in order to put together some places located in different regions within a stage in the same region. Therefore, the RBSC protocol decreases the overhead of stage works. Consequently, the RBSC protocol decreases the total execution time of mobile agents.
SungJin Choi, MaengSoon Baik, HongSoo Kim, JunWeon Yoon, Jin Gon Shon, Chong-Sun Hwang
AINA (2)5
2001 Restoration scheme of mobility databases by mobility learning and prediction in PCS networks
abstract
This paper proposes a restoration scheme based on mobility learning and prediction in the presence of the failure of mobility databases in personal communication systems (PCSs). In PCSs, mobility databases must maintain the current location information of users to provide a fast connection for them. However, the malfunction of mobility databases may cause some location information to be lost. As a result, without an explicit restoration procedure, incoming calls to users may be rejected. Therefore, an explicit restoration scheme against the malfunction of mobility databases is needed to guarantee continuous service availability to users. Introducing mobility learning and prediction into the restoration process allows systems to locate users after a failure of mobility databases. In failure-free operations, the movement patterns of users are learned by a neuro-fuzzy inference system (NFIS). After a failure, an inference process of the NFIS is initiated and the users' future location is predicted. This is used to locate lost users after a failure. This proposal differs from previous approaches using a checkpoint because it does not need a backup process nor additional storage space to store checkpoint information. In addition, simulations show that our proposal can reduce the cost needed to restore the location records of lost users after a failure when compared to the checkpointing scheme.
Joon-Min Gil, Chan Yeol Park, Chong-Sun Hwang, Doo-Soon Park, Jin Gon Shon, Young-Sik Jeong
IEEE J. Sel. Areas Commun.5
1997 Hybrid checkpointing protocol based on selective-sender-based message logging
abstract
This paper presents a hybrid checkpointing protocol-an asynchronous checkpointing protocol using a message sending/receiving state change for reducing the overhead of failure-free operation combined with a selective sender-based message logging protocol for reducing the cascade rollback of asynchronous checkpointing protocol. The selective sender-based message logging protocol records only potential orphan messages when taking a checkpoint. And this paper presents a message dependency tree recording the inter-process message sending/receiving information on a volatile storage for reducing the search time of inter-process information during the failure recovery.
Kwang-Sik Chung, Kibom Kim, Chong-Sun Hwang, Jin Gon Shon, Heon-Chang Yu
ICPADS4