Bettina Kemme

Bettina Kemme

McGill University

H-index: 36

North America-Canada

About Bettina Kemme

Bettina Kemme, With an exceptional h-index of 36 and a recent h-index of 18 (since 2020), a distinguished researcher at McGill University, specializes in the field of Large-scale Data Management, Consistency.

His recent articles reflect a diverse array of research interests and contributions to the field:

DBMLSched: Scheduling In-database Machine Learning Jobs

Global decision making over deep variability in feedback-driven software development

Dynamic application call graph formation and service identification in cloud data centers

HorsePower: Accelerating Database Queries for Advanced Data Analytics.

DyMonD: dynamic application monitoring and service detection framework

FIDDLR: streamlining reuse with concern-specific modelling languages

Application Monitoring as a Network Service

Flow-based service type identification using deep learning

Bettina Kemme Information

University

Position

Associate Professor School of Computer Science

Citations(all)

6578

Citations(since 2020)

1032

Cited By

5886

hIndex(all)

36

hIndex(since 2020)

18

i10Index(all)

76

i10Index(since 2020)

30

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Bettina Kemme Skills & Research Interests

Large-scale Data Management

Consistency

Top articles of Bettina Kemme

Title

Journal

Author(s)

Publication Date

DBMLSched: Scheduling In-database Machine Learning Jobs

VLDB Workshops, CEUR Workshop Proceedings

Yunjia Zheng

Yuxuan Tian

Joseph V D’Silva

Bettina Kemme

2023

Global decision making over deep variability in feedback-driven software development

Jörg Kienzle

Benoit Combemale

Gunter Mussbacher

Omar Alam

Francis Bordeleau

...

2022/10/10

Dynamic application call graph formation and service identification in cloud data centers

IEEE Transactions on Network and Service Management

Mona Elsaadawy

Mohamed Younis

Jifeng Wang

Xinchen Hou

Bettina Kemme

2022/8/23

HorsePower: Accelerating Database Queries for Advanced Data Analytics.

Hanfeng Chen

Joseph Vinish D'silva

Laurie J Hendren

Bettina Kemme

2021

DyMonD: dynamic application monitoring and service detection framework

Mona Elsaadawy

Aaron Lohner

Ruoyu Wang

Jifeng Wang

Bettina Kemme

2021/12/6

FIDDLR: streamlining reuse with concern-specific modelling languages

Maximilian Schiedermeier

Jörg Kienzle

Bettina Kemme

2021/10/17

Application Monitoring as a Network Service

Mona Elsaadawy

Laetitia Fesselier

Bettina Kemme

2021/7/7

Flow-based service type identification using deep learning

Mona Elsaadawy

Petar Basta

Yunjia Zheng

Bettina Kemme

Mohamed Younis

2021/6/28

Methods and systems for graph-based publication-subscription

2021/3/9

Analysing the benefit of selfish mining with multiple players

Shiquan Zhang

Kaiwen Zhang

Bettina Kemme

2020/11

Enabling efficient application monitoring in cloud data centers using SDN

Mona Elsaadawy

Bettina Kemme

Mohamed Younis

2020/6/7

A simulation-based analysis of multiplayer selfish mining

Shiquan Zhang

Kaiwen Zhang

Bettina Kemme

2020

Improving database query performance with automatic fusion

Hanfeng Chen

Alexander Krolik

Bettina Kemme

Clark Verbrugge

Laurie Hendren

2020/2/22

See List of Professors in Bettina Kemme University(McGill University)