Aggelos Lazaris - researchr profile publications

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Publications with a 'Aggelos Lazaris' as author, editor, or advisor:

Modeling multiplexed traffic from H.264/AVC videoconference streamsAggelos Lazaris, Polychronis Koutsakis. comcom, 33(10):1235-1242, 2010. [doi]
DeepFlow: a deep learning framework for software-defined measurementAggelos Lazaris, Viktor K. Prasanna. conext 2017: 43-48 [doi]
Pricing-based call admission control for wireless MPEG-4 trafficAggelos Lazaris, Polychronis Koutsakis. comcom, 32(17):1781-1789, 2009. [doi]
User satisfaction-based resource allocation for GEO satellitesCharalabos Stamos, Dimitra Vasileiadou, Georgia Koutsandria, Irene Spanou, Aikaterini Vlachaki, Aggelos Lazaris, Polychronis Koutsakis. wowmom 2012: 1-3 [doi]
Energy Efficient H.263 Video Transmission in Power Saving Wireless LAN InfrastructureAhmad M. Kholaif, Terence D. Todd, Polychronis Koutsakis, Aggelos Lazaris. tmm, 12(2):142-153, 2010. [doi]
Scene change detection-based Discrete Autoregressive modeling for MPEG-4 video trafficIrene Spanou, Aggelos Lazaris, Polychronis Koutsakis. icc 2013: 2386-2390 [doi]
An LSTM Framework for Software-Defined MeasurementAggelos Lazaris, Viktor K. Prasanna. tnsm, 18(1):855-869, 2021. [doi]
Tango: Simplifying SDN Control with Automatic Switch Property Inference, Abstraction, and OptimizationAggelos Lazaris, Daniel Tahara, Xin Huang, Erran L. Li, Andreas Voellmy, Yang Richard Yang, Minlan Yu. conext 2014: 199-212 [doi]
Jive: Performance Driven Abstraction and Optimication for SDNAggelos Lazaris, Daniel Tahara, Xin Huang, Li Erran Li, Andreas Voellmy, Yang Richard Yang, Minlan Yu. ons 2014: [doi]
Video scene identification and classification for user-tailored QoE in GEO satellitesPolychronis Koutsakis, Irene Spanou, Aggelos Lazaris. hcis, 7:15, 2017. [doi]
An LSTM Framework For Modeling Network TrafficAggelos Lazaris, Viktor K. Prasanna. im 2019: 19-24 [doi]
Video Activity-Based Traffic Policing: A New ParadigmEvangelos Maratsolas, Polychronis Koutsakis, Aggelos Lazaris. tmm, 16(5):1446-1459, 2014. [doi]
Deep Learning Models For Aggregated Network Traffic PredictionAggelos Lazaris, Viktor K. Prasanna. cnsm 2019: 1-5 [doi]
Predicting memory accesses: the road to compact ML-driven prefetcherAjitesh Srivastava, Angelos Lazaris, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna. memsys 2019: 461-470 [doi]

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