Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets

Autor: Glauner, Patrick, Meira, Jorge, Dolberg, Lautaro, State, Radu, Bettinger, Franck, Rangoni, Yves, Duarte, Diogo

Electricity theft is a major problem around the world in both developed and developing countries and may range up to 40% of the total electricity distributed. More generally, electricity theft belongs to non-technical losses (NTL), which are losses t

Externí odkaz: http://arxiv.org/abs/1607.00872

Network Configuration and Flow Scheduling for Big Data Applications

Autor: Dolberg, Lautaro, François, Jérôme, Chowdhury, Shihabur, Ahmed, Reaz, Boutaba, Raouf, Engel, Thomas

Publikováno v: Networking for Big Data
Networking for Big Data, Chapman and Hall/CRC, 2015, Big Data Series, 9781482263497

International audience; This chapter focuses on network configuration and flow scheduling for Big Data applications. It highlights how the performance of Big Data applications is tightly coupled with the performance of the network in supporting large

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b02ed59b237a98db7865100559a6a5ec
https://hal.inria.fr/hal-01244585

Efficient Multidimensional Aggregation for Large Scale Monitoring

Autor: Dolberg, Lautaro, François, Jérôme, Engel, Thomas

Publikováno v: Large Installation System Administration Conference
Large Installation System Administration Conference, Dec 2012, San Diego, United States

International audience; Today, network monitoring becomes necessary at many levels: Internet Service Providers, large companies as well as smaller entities. Since this supports many applications in various fields (security, service provisioning, etc)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::da99a568f9955231dcfb737400dec4d9
https://hal.archives-ouvertes.fr/hal-00784953/document

A generic framework to support application-level flow management in software-defined networks.

Autor: Dolberg, Lautaro, Francois, Jerome, Chowdhury, Shihabur Rahman, Ahmed, Reaz, Boutaba, Raouf, Engel, Thomas

Publikováno v: 2016 IEEE NetSoft Conference & Workshops (NetSoft); 2016, p121-125, 5p

Tracking spoofed locations in crowdsourced vehicular applications.

Autor: Dolberg, Lautaro, Francis, Jerome, Engel, Thomas

Publikováno v: 2014 IEEE Network Operations & Management Symposium (NOMS); 2014, p1-9, 9p