Hooman Peiro Sajjad
TitleCited byYear
Spanedge: Towards unifying stream processing over central and near-the-edge data centers
HP Sajjad, K Danniswara, A Al-Shishtawy, V Vlassov
2016 IEEE/ACM Symposium on Edge Computing (SEC), 168-178, 2016
542016
Scaling hdfs with a strongly consistent relational model for metadata
K Hakimzadeh, HP Sajjad, J Dowling
IFIP International Conference on Distributed Applications and Interoperable …, 2014
232014
Boosting vertex-cut partitioning for streaming graphs
HP Sajjad, AH Payberah, F Rahimian, V Vlassov, S Haridi
2016 IEEE International Congress on Big Data (BigData Congress), 1-8, 2016
192016
Stream processing in community network clouds
K Danniswara, HP Sajjad, A Al-Shishtawy, V Vlassov
2015 3rd International Conference on Future Internet of Things and Cloud …, 2015
82015
Smart partitioning of geo-distributed resources to improve cloud network performance
HP Sajjad, F Rahimian, V Vlassov
2015 IEEE 4th International Conference on Cloud Networking (CloudNet), 112-118, 2015
52015
Efficient representation learning using random walks for dynamic graphs
HP Sajjad, A Docherty, Y Tyshetskiy
arXiv preprint arXiv:1901.01346, 2019
22019
Reproducible distributed clusters with mutable containers: To minimize cost and provisioning time
HP Sajjad, K Hakimzadeh, S Perera
Proceedings of the Workshop on Hot Topics in Container Networking and …, 2017
22017
Maintaining Strong Consistency Semantics in a Horizontally Scalable and Highly Available Implementation of HDFS
HP Sajjad, MH Harirbaf
Master Thesis, KTH Royal Institute of Technology, 2013
22013
Optimizing Windowed Aggregation over Geo-Distributed Data Streams
HP Sajjad, Y Liu, V Vlassov
2018 IEEE International Conference on Edge Computing (EDGE), 33-41, 2018
12018
Scalable streaming graph partitioning
S Khamoushi, S Mohammadreza
12017
Efficient Representation Learning Using RandomWalks for Dynamic Graphs
H Peiro Sajjad, A Docherty, Y Tyshetskiy
2019
Methods and Algorithms for Data-Intensive Computing: Streams, Graphs, and Geo-Distribution
H Peiro Sajjad
KTH Royal Institute of Technology, 2019
2019
Efficient and Cost-effective Workflow Based on Containers for Distributed Reproducible Experiments
S Perera
2016
Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers
H Peiro Sajjad
KTH Royal Institute of Technology, 2016
2016
Smart Partitioning of Geo-Distributed Resources to Improve Cloud Network Performance
H Peiro Sajjad, F Rahimian, V Vlassov
The 2015 4th IEEE International Conference on Cloud Networking (IEEE …, 2015
2015
Topology-Aware Placement of Stream Processing Components on Geographically Distributed Virtualized Environments
K Danniswara
2015
Maintaining Strong Consistency Semantics in a Horizontally Scalable and Highly Available Implementation of HDFS
H Peiro Sajjad, M Hakimzadeh Harirbaf
2013
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Articles 1–17