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Mengjing Ma

dblp:299/2211 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none

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

Computer networks · 2 · 2 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
2 papers
Network management and operations · 42% Network measurement and analytics · 28% Software-defined and programmable networks · 21%
Software engineering, system software, and programming languages
1 paper
Program verification · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network management and operations › network verification
data plane verification
0.512021
Aquila: a practically usable verification system for production-scale programmable data planes · SIGCOMM 2021
Network management and operations
network verification
0.512021
Aquila: a practically usable verification system for production-scale programmable data planes · SIGCOMM 2021
Software-defined and programmable networks
programmable data plane
0.512021
Aquila: a practically usable verification system for production-scale programmable data planes · SIGCOMM 2021
Program verification
equivalence checking
0.512021
Aquila: a practically usable verification system for production-scale programmable data planes · SIGCOMM 2021
Program verification › refinement
refinement proof
0.512021
Aquila: a practically usable verification system for production-scale programmable data planes · SIGCOMM 2021

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

sequential encoding · 1.0high-level specification language · 1.0traffic generation · 0.7
YearPublicationVenuePosition
2023 Norma: Towards Practical Network Load Testing
Bingchuan Tian, Chen Tian 0001, Yu Zhou 0008, Mengjing Ma, Zhewen Yang, Guihai Chen, Dennis Cai, Ennan Zhai
NSDI6
2021 Aquila: a practically usable verification system for production-scale programmable data planes
abstract
This paper presents Aquila, the first practically usable verification system for Alibaba's production-scale programmable data planes. Aquila addresses four challenges in building a practically usable verification: (1) specification complexity; (2) verification scalability; (3) bug localization; and (4) verifier self validation. Specifically, first, Aquila proposes a high-level language that facilitates easy expression of specifications, reducing lines of specification codes by tenfold compared to the state-of-the-art. Second, Aquila constructs a sequential encoding algorithm to circumvent the exponential growth of states associated with the upscaling of data plane programs to production level. Third, Aquila adopts an automatic and accurate bug localization approach that can narrow down suspects based on reported violations and pinpoint the culprit by simulating a fix for each suspect. Fourth and finally, Aquila can perform self validation based on refinement proof, which involves the construction of an alternative representation and subsequent equivalence checking. To this date, Aquila has been used in the verification of our production-scale programmable edge networks for over half a year, and it has successfully prevented many potential failures resulting from data plane bugs.
Bingchuan Tian, Mengqi Liu 0001, Ennan Zhai, Yu Zhou 0008, Mengjing Ma, Xionglie Wei, Hongqiang Harry Liu, Ming Zhang 0005, Chen Tian 0001, Minlan Yu
SIGCOMM9