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ORCIDHooman Peiro Sajjad
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2010 – 2019
- 2019
[b1]Hooman Peiro Sajjad:
Methods and Algorithms for Data-Intensive Computing: Streams, Graphs, and Geo-Distribution. Royal Institute of Technology, Stockholm, Sweden, 2019- [i1]Hooman Peiro Sajjad, Andrew Docherty, Yuriy Tyshetskiy
:
Efficient Representation Learning Using Random Walks for Dynamic Graphs. CoRR abs/1901.01346 (2019) - 2018
- [c7]Hooman Peiro Sajjad, Ying Liu, Vladimir Vlassov:
Optimizing Windowed Aggregation over Geo-Distributed Data Streams. EDGE 2018: 33-41 - 2017
- [c6]Hooman Peiro Sajjad, Kamal Hakimzadeh, Shelan Perera:
Reproducible Distributed Clusters with Mutable Containers: To Minimize Cost and Provisioning Time. HotConNet@SIGCOMM 2017: 18-23 - 2016
- [c5]Hooman Peiro Sajjad, Amir Hossein Payberah, Fatemeh Rahimian, Vladimir Vlassov, Seif Haridi:
Boosting Vertex-Cut Partitioning for Streaming Graphs. BigData Congress 2016: 1-8 - [c4]Hooman Peiro Sajjad, Ken Danniswara, Ahmad Al-Shishtawy, Vladimir Vlassov:
SpanEdge: Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers. SEC 2016: 168-178 - 2015
- [c3]Hooman Peiro Sajjad, Fatemeh Rahimian, Vladimir Vlassov:
Smart partitioning of geo-distributed resources to improve cloud network performance. CloudNet 2015: 112-118 - [c2]Ken Danniswara, Hooman Peiro Sajjad, Ahmad Al-Shishtawy, Vladimir Vlassov:
Stream Processing in Community Network Clouds. FiCloud 2015: 800-805 - 2014
- [c1]Kamal Hakimzadeh, Hooman Peiro Sajjad, Jim Dowling:
Scaling HDFS with a Strongly Consistent Relational Model for Metadata. DAIS 2014: 38-51
Coauthor Index
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