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Luís Veiga
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Publications
- 2023
- [c107]João Francisco, Miguel E. Coimbra, Pedro Fernandes Ribeiro Neto, Felix Freitag, Luís Veiga:
Stateful Adaptive Streams with Approximate Computing and Elastic Scaling. SAC 2023: 174-183 - 2022
- [j36]Miguel E. Coimbra, Sérgio Esteves, Alexandre P. Francisco, Luís Veiga:
VeilGraph: incremental graph stream processing. J. Big Data 9(1): 23 (2022) - [c106]Bruno Morais, Miguel E. Coimbra, Luís Veiga:
PK-Graph: Partitioned k2-Trees to Enable Compact and Dynamic Graphs in SparkGraphX. CoopIS 2022: 149-167 - 2021
- [j34]Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga:
An analysis of the graph processing landscape. J. Big Data 8(1): 55 (2021) - [c102]Tiago Lopes, Miguel E. Coimbra, Luís Veiga:
Smart Distributed DataSets for Stream Processing. Euro-Par 2021: 249-265 - 2019
- [i17]Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga:
Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing. CoRR abs/1911.11624 (2019) - 2018
- [c93]Miguel E. Coimbra, Mennan Selimi, Alexandre P. Francisco, Felix Freitag, Luís Veiga:
Gelly-scheduling: distributed graph processing for service placement in community networks. SAC 2018: 151-160 - [i14]Miguel E. Coimbra, Renato Rosa, Sérgio Esteves, Alexandre P. Francisco, Luís Veiga:
GraphBolt: Streaming Graph Approximations on Big Data. CoRR abs/1810.02781 (2018) - 2017
- [i12]Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga:
Gelly-Scheduling: Distributed Graph Processing for Network Service Placement. CoRR abs/1703.10446 (2017) - [i11]Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga:
Study on Resource Efficiency of Distributed Graph Processing. CoRR abs/1703.10628 (2017)
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