Iman Sadooghi

Orcid: 0000-0003-1726-5948

According to our database1, Iman Sadooghi authored at least 13 papers between 2014 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2017
Understanding the Performance and Potential of Cloud Computing for Scientific Applications.
IEEE Trans. Cloud Comput., 2017

2016
Toward high-performance key-value stores through GPU encoding and locality-aware encoding.
J. Parallel Distributed Comput., 2016

Load-balanced and locality-aware scheduling for data-intensive workloads at extreme scales.
Concurr. Comput. Pract. Exp., 2016

A convergence of key-value storage systems from clouds to supercomputers.
Concurr. Comput. Pract. Exp., 2016

Albatross: An efficient cloud-enabled task scheduling and execution framework using distributed message queues.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015
High-Performance Storage Support for Scientific Applications on the Cloud.
Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015

Overcoming Hadoop Scaling Limitations through Distributed Task Execution.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

MHT: A light-weight scalable zero-hop MPI enabled distributed key-value store.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

A flexible QoS fortified distributed key-value storage system for the cloud.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

FaBRiQ: Leveraging Distributed Hash Tables towards Distributed Publish-Subscribe Message Queues.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2014
Achieving Efficient Distributed Scheduling with Message Queues in the Cloud for Many-Task Computing and High-Performance Computing.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

Towards In-Order and Exactly-Once Delivery Using Hierarchical Distributed Message Queues.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014


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