What is she best known for?
The fields of study she is best known for:
- Computer network
- Operating system
- The Internet
Anne-Marie Kermarrec focuses on Distributed computing, Computer network, Peer-to-peer, Scalability and Gossip protocol.
Her research in Distributed computing intersects with topics in Node, Overlay network, Bandwidth and Reliability.
Her Computer network research includes themes of Distributed algorithm, Wireless ad hoc network and The Internet.
Her Peer-to-peer study combines topics in areas such as Event, Operating system, File sharing and Internet traffic.
She has researched Scalability in several fields, including Workload and Scheduling.
Her Gossip protocol study incorporates themes from Average path length, PlanetLab, Latency and Degree distribution.
Her most cited work include:
- The many faces of publish/subscribe (2763 citations)
- Scribe: a large-scale and decentralized application-level multicast infrastructure (1428 citations)
- SplitStream: high-bandwidth multicast in cooperative environments (1252 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Distributed computing, Computer network, Scalability, World Wide Web and Peer-to-peer.
Her studies in Distributed computing integrate themes in fields like Overlay network, Reliability, Gossip protocol, Node and Redundancy.
Her Overlay network research is multidisciplinary, incorporating elements of Load balancing and Theoretical computer science.
Her Computer network study is mostly concerned with Multicast, Overhead, Network topology, Wireless sensor network and Pastry.
Her study looks at the intersection of Scalability and topics like Protocol with PlanetLab.
Her research is interdisciplinary, bridging the disciplines of Server and Peer-to-peer.
She most often published in these fields:
- Distributed computing (44.92%)
- Computer network (27.73%)
- Scalability (24.22%)
What were the highlights of her more recent work (between 2014-2021)?
- Distributed computing (44.92%)
- Recommender system (8.98%)
- k-nearest neighbors algorithm (3.91%)
In recent papers she was focusing on the following fields of study:
Anne-Marie Kermarrec mostly deals with Distributed computing, Recommender system, k-nearest neighbors algorithm, Data mining and Scalability.
Her Distributed computing research integrates issues from Middleware, Workload and Performance tuning.
Her work on Collaborative filtering as part of her general Recommender system study is frequently connected to Electronic mail, thereby bridging the divide between different branches of science.
When carried out as part of a general Scalability research project, her work on Gossip protocol is frequently linked to work in Research community, therefore connecting diverse disciplines of study.
As a member of one scientific family, she mostly works in the field of Gossip protocol, focusing on File sharing and, on occasion, Byzantine fault tolerance.
Her research integrates issues of Node and Ranking in her study of Metric.
Between 2014 and 2021, her most popular works were:
- Hawk: hybrid datacenter scheduling (105 citations)
- Privacy-preserving distributed collaborative filtering (34 citations)
- D2P: distance-based differential privacy in recommenders (33 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
Her main research concerns Differential privacy, Distributed computing, Information retrieval, Collaborative filtering and k-nearest neighbors algorithm.
Her studies deal with areas such as Distance based, Personalization, MovieLens, Protocol and Privacy preserving as well as Differential privacy.
Her work in Distributed computing addresses issues such as Workload, which are connected to fields such as Scalability and Scheduling.
Her study in Information retrieval is interdisciplinary in nature, drawing from both Network topology, Fraction, Data mining and Social network.
In her research on the topic of Collaborative filtering, Similarity and Sybil attack is strongly related with Computer security.
The concepts of her k-nearest neighbors algorithm study are interwoven with issues in Lookup table, Nearest neighbor search and SIMD, Parallel computing.
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