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Junda Liu

dblp:43/3161 · DBLP profile ↗
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8ranked-venue papers
3as first author
0since 2021 · last 2014
0009-0004-2013-0141ORCID · corroborated

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

Computer networks · 5 · 2 first-authorSecurity and privacy · 2 · 1 first-authorSystems, architecture and hardware · 1Software engineering, systems software and programming languages · 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
5 papers
Routing and switching · 39% Internet of things and sensor networks · 34% Network management and operations · 16%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 11 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
data forwarding
0.212014
Keep Forwarding: Towards k-link failure resilient routing · INFOCOM 2014
Routing and switching
fault-tolerant routing
0.212014
Keep Forwarding: Towards k-link failure resilient routing · INFOCOM 2014
Routing and switching
link failure recovery
0.212014
Keep Forwarding: Towards k-link failure resilient routing · INFOCOM 2014
Network management and operations
network verification
0.212014
Libra: Divide and Conquer to Verify Forwarding Tables in Huge Networks · NSDI 2014
Internet of things and sensor networks › topology control
connectivity guarantee
0.212013
Ensuring Connectivity via Data Plane Mechanisms · NSDI 2013
Internet of things and sensor networks › reliability
failure resilience
0.112011
Slick packets · SIGMETRICS 2011
Routing and switching
source routing
0.112011
Slick packets · SIGMETRICS 2011
Network management and operations
configuration verification
0.112014
Libra: Divide and Conquer to Verify Forwarding Tables in Huge Networks · NSDI 2014
Routing and switching › routing protocol
OSPF
0.112014
Keep Forwarding: Towards k-link failure resilient routing · INFOCOM 2014
Routing and switching
fast reroute
0.012011
Slick packets · SIGMETRICS 2011
Internet of things and sensor networks
energy management
0.012009
Skilled in the Art of Being Idle: Reducing Energy Waste in Networked Systems · NSDI 2009

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

simulation · 0.2precomputation · 0.2divide-and-conquer verification · 0.2data plane mechanisms · 0.2directed acyclic graph encoding · 0.1
YearPublicationVenuePosition
2014 Keep Forwarding: Towards k-link failure resilient routing
abstract
Handling link failures is the fundamental task of routing schemes. Routing protocols based on link state (e.g., OSPF) require a global state advertisement and re-computation when link failure happens, and will cause inevitable delivery failures. To improve the routing resilience without introducing significant extra overhead, we propose a new routing approach, Keep Forwarding (KF) to achieve k-link failure resilience using inport-aware forwarding. KF is (i) flexible to handle multiple failures (or k-failure) with only small path stretch, (ii) efficient in recovery speed by instant and local lookup, (iii) bounded on memory requirement. Besides, the proposed approach is compatible with existing Internet protocols and routing infrastructures (e.g., requires no packet labeling or state recording), and the pre-computation has a linear temporal complexity. Experimental results on real ISP and datacenter networks reveal that KF guarantees near-optimal resilience (99.9%~100% for single failure and over 99.7% for multiple failures), with the average path stretch increment less than 5%.
Baohua Yang, Junda Liu, Scott Shenker, Jun Li 0003, Kai Zheng 0003
INFOCOM2
2014 Libra: Divide and Conquer to Verify Forwarding Tables in Huge Networks
Hongyi Zeng, Shidong Zhang, Vimalkumar Jeyakumar, Mickey Ju, Junda Liu, Nick McKeown, Amin Vahdat
NSDI6
2013 Ensuring Connectivity via Data Plane Mechanisms
Junda Liu, Aurojit Panda, Ankit Singla, Brighten Godfrey, Michael Schapira, Scott Shenker
NSDI1
2011 Data-driven network connectivity
abstract
Routing on the Internet combines data plane mechanisms for forwarding traffic with control plane protocols for guaranteeing connectivity and optimizing routes (e.g., shortest-paths and load distribution). We propose data-driven connectivity (DDC), a new routing approach that achieves the fundamental connectivity guarantees in the data plane rather than the control plane, while keeping the more complex requirements of route optimization in the control plane. DDC enables faster recovery from failures and easier implementation of control plane optimization.
Junda Liu, Baohua Yang, Scott Shenker, Michael Schapira
HotNets1
2011 Slick packets
abstract
Source-controlled routing has been proposed as a way to improve flexibility of future network architectures, as well as simplifying the data plane. However, if a packet specifies its path, this precludes fast local re-routing within the network. We propose SlickPackets, a novel solution that allows packets to slip around failures by specifying alternate paths in their headers, in the form of compactly-encoded directed acyclic graphs. We show that this can be accomplished with reasonably small packet headers for real network topologies, and results in responsiveness to failures that is competitive with past approaches that require much more state within the network. Our approach thus enables fast failure response while preserving the benefits of source-controlled routing.
Giang T. K. Nguyen, Rachit Agarwal 0001, Junda Liu, Matthew Caesar 0001, Brighten Godfrey, Scott Shenker
SIGMETRICS3
2009 Skilled in the Art of Being Idle: Reducing Energy Waste in Networked Systems
Sergiu Nedevschi, Jaideep Chandrashekar, Junda Liu, Bruce Nordman, Sylvia Ratnasamy, Nina Taft
NSDI3
2007 MDH: A High Speed Multi-phase Dynamic Hash String Matching Algorithm for Large-Scale Pattern Set
Zongwei Zhou, Yibo Xue, Junda Liu, Jun Li 0003
ICICS3
2006 PIFF: An Intelligent File Filtering Mechanism for Peer-to-Peer Network
abstract
The distribution of copyright content over peer-to-peer (P2P) networks facilitates misuse of protected digital property and severely violates the rights of creators and owners. Besides, the anonymity and other features of latest P2P applications make law enforcement almost impractical. Unfortunately, current technology efforts attempting to block unauthorized files depend on manually predefined keywords which can be easily modified by the application, and they fail to distinguish between authorized and unauthorized files. In this context, we present PIFF, an intelligent file filtering mechanism for peer-to-peer network, which effectively blocks illegal file distribution based on file signatures automatically generated and deployed by the system. With a hierarchy infrastructure and decision algorithm, our solution discovers and identifies the file signatures much faster than manual analysis, and spreads it among system nodes to perform filtering immediately. Experiment results suggest that compared with unprotected environment, PIFF can reduce over 85% peers for unauthorized files without any affect on the distribution of authorized files
Junda Liu, Lin Ning 0003, Yibo Xue, Dongsheng Wang 0002
DASC1