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Hung-Cheng Chang

dblp:179/7452 · DBLP profile ↗
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3ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0002-0109-9925ORCID · corroborated

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

Computer networks · 2 · 1 first-author · 1 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
Cellular and mobile networks · 50% Routing and switching · 38% Software-defined and programmable networks · 12%

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

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
5g core network
0.612022
L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022
Routing and switching › router architecture
data plane forwarding
0.612022
L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022
Cellular and mobile networks
mobility management
0.212022
L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022
Software-defined and programmable networks
network function virtualization
0.212022
L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022

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

shared-memory inter-process communication · 0.6flow-level packet classification · 0.6
YearPublicationVenuePosition
2022 L25GC: a low latency 5G core network based on high-performance NFV platforms
abstract
Cellular network control procedures (e.g., mobility, idle-active transition to conserve energy) directly influence data plane behavior, impacting user-experienced delay. Recognizing this control-data plane interdependence, L25GC re-architects the 5G Core (5GC) network, and its processing, to reduce latency of control plane operations and their impact on the data plane. Exploiting shared memory, L25GC eliminates message serialization and HTTP processing overheads, while being 3GPP-standards compliant. We improve data plane processing by factoring the functions to avoid control-data plane interference, and using scalable, flow-level packet classifiers for forwarding-rule lookups. Utilizing buffers at the 5GC, L25GC implements paging, and an intelligent handover scheme avoiding 3GPP's hairpin routing, and data loss caused by limited buffering at 5G base stations, reduces delay and unnecessary message processing. L25GC's integrated failure resiliency transparently recovers from failures of 5GC software network functions and hardware much faster than 3GPP's reattach recovery procedure. L25GC is built based on free5GC, an open-source kernel-based 5GC implementation. L25GC reduces event completion time by ~50% for several control plane events and improves data packet latency (due to improved control plane communication) by ~2×, during paging and handover events, compared to free5GC. L25GC's design is general, although current implementation supports a limited number of user sessions.
Vivek A. Jain, Hao-Tse Chu, Shixiong Qi, Chia-An Lee, Hung-Cheng Chang, Cheng-Ying Hsieh, K. K. Ramakrishnan, Jyh-Cheng Chen
SIGCOMM5
2018 Performance evaluation of Open5GCore over KVM and Docker by using Open5GMTC
abstract
Virtualizing the EPC (Evolved Packet Core) in modern carrier-grade networks provides more flexible and reliable network services by decoupling dependence on the hardware. Hy- pervisor and container are two popular virtualization techniques nowadays to enable virtualization of EPC. In this paper, we compared the Open5GCore, a 5G EPC prototype, over KVM and Docker, which are representatives of the hypervisor and container techniques. Moreover, to verify how each supports new services for Internet of Things (IoT) and Machine-to-Machine (M2M) communications, we also analyze the performance of two systems with the IoT and M2M traffic generated by Open5GMTC, a prototype tool for IoT/M2M platforms.
Hung-Cheng Chang, Bo-Jun Qiu, Chen-Hao Chiu, Jyh-Cheng Chen, Fuchun Joseph Lin, David de la Bastida, Bao-Shuh Paul Lin
NOMS1
2018 Empirical Experience and Experimental Evaluation of Open5GCore over Hypervisor and Container
abstract
One of the most important technologies for future 5G networks is to utilize Network Function Virtualization (NFV) to virtualize the network components. NFV provides flexibility, short time to market, and low cost solution to build network services, which are important features of 5G networks. Although the idea of virtualization is just being applied to cellular networks, it has been used in the community of cloud computing. There are two main virtualization techniques, hypervisor and container. In this paper, we present our practical experience of virtualizing Open5GCore, a commercial product of SDN‐enabled Evolved Packet Core (EPC), over hypervisor and container. In addition to describing how to virtualize Open5GCore, we also present the experimental performance evaluation of the systems. Finally, some important lessons learned are provided.
Hung-Cheng Chang, Bo-Jun Qiu, Jyh-Cheng Chen, Tze-Jie Tan, Ping-Fan Ho, Chen-Hao Chiu, Bao-Shuh Paul Lin
Wirel. Commun. Mob. Comput.1