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Hsin-Tsung Lin

dblp:235/2881 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2025
—ORCID · none

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

Computer networks · 4 · 3 first-author · 4 since 2021

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
Internet architecture and protocols · 91% Routing and switching · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › packet processing
packet classification
0.912025
LEPRE: An Updatable Database-Dependent Range Encoding Algorithm · IEEE J. Sel. Areas Commun. 2025
Internet architecture and protocols › packet processing › packet classification › range matching
range encoding
0.912025
LEPRE: An Updatable Database-Dependent Range Encoding Algorithm · IEEE J. Sel. Areas Commun. 2025
Internet architecture and protocols › packet processing › packet classification
TCAM-based packet classification
0.912025
LEPRE: An Updatable Database-Dependent Range Encoding Algorithm · IEEE J. Sel. Areas Commun. 2025

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

longest enclosure prefix range encoding · 0.9
YearPublicationVenuePosition
2025 LEPRE: An Updatable Database-Dependent Range Encoding Algorithm
abstract
Packet classification is a key mechanism that classifies incoming packets into flows to enable software-defined networking as well as a variety of networking services. Currently, ternary content addressable memory (TCAM) has been widely used for high-speed and low-latency packet classification. However, both range expansion and update performance are the fundamental issues for TCAM-based packet classification. A rule containing ranges could be replicated to multiple rules after converting its ranges into prefixes or ternary strings to occupy more than one TCAM entry. Many range encoding algorithms have been proposed to alleviate or avoid the problem of range expansion. These algorithms can be classified into database-independent (DI) and database-dependent (DD). While database-independent algorithms can accommodate new ranges without re-encoding the existing ranges, they may still cause rule replication. In contrast, database-dependent algorithms could avoid rule replication by adaptively encoding ranges, but new ranges may result in updates of the existing ranges. Accordingly, both types of algorithms may multiply the cost of TCAM updates. In this paper, we propose a DD range-encoding algorithm, Longest Enclosure Prefix Range Encoding (LEPRE), which can ensure that any new range does not cause any rule replication and re-encoding of the existing ranges. LEPRE employs the original fields as a part of range encoding to significantly decrease the requirements of extra bits for range encoding. Our experiment results show that LEPRE can maximize the TCAM storage efficiency. LEPRE also fully supports incremental updates to minimize the latency of TCAM updates.
Hsin-Tsung Lin, Wei-Cheng Chen, Pi-Chung Wang
IEEE J. Sel. Areas Commun.1
2024 Scalable packet classification based on rule categorization and cross-producting
Hsin-Tsung Lin, Pi-Chung Wang
Comput. Networks1
2023 TCAM-based packet classification for many-field rules of SDNs
Hsin-Tsung Lin, Pi-Chung Wang
Comput. Commun.1
2021 Efficient Topology Discovery for Software-Defined Networks
abstract
OpenFlow discovery protocol (OFDP) is the standard protocol for discovering network topologies for OpenFlow. Each controller generates and receives OFDP messages for each switch to yield a network topology. However, for a network with a large number of switches, the controller may suffer from high overhead to perform OFDP even though the network topology remains unchanged. In this article, we improve the efficiency of network topology discovery by implementing a delegated function in OpenFlow switches. Our mechanism can reduce controller’s overhead for topology discovery to shorten the time of discovering a network topology. It also provides with the interoperability with switches which only perform OFDP. The experimental results demonstrate that the proposed scheme can improve the time for discovering a new network topology by decreasing the number of messages. Our scheme also eliminates unnecessary Packet-Out and Packet-In messages when the network topology remains unchanged. As a result, the controller overhead, including CPU usage and traffic load, is greatly reduced to shorten the response latency of controllers. Hence, the proposed scheme improves the feasibility of achieving scalable OpenFlow networking.
Yi-Cheng Chang, Hsin-Tsung Lin, Hung-Mao Chu, Pi-Chung Wang
IEEE Trans. Netw. Serv. Manag.2