4 citations · 4 across the 5 of their papers we have counts for
11 papers
Balanced Nonadaptive Redundancy Scheduling
Amir Behrouzi-Far, Emina Soljanin
Distributed computing systems implement redundancy to reduce the job completion time and variability. Despite a large body of work about computing redundancy, the analytical perfor…
Efficient Replication for Straggler Mitigation in Distributed Computing
Amir Behrouzi-Far, Emina Soljanin
Master-worker distributed computing systems use task replication in order to mitigate the effect of slow workers, known as stragglers. Tasks are grouped into batches and assigned t…
Data Freshness in Leader-Based Replicated Storage
Amir Behrouzi-Far, Emina Soljanin, Roy D. Yates
Leader-based data replication improves consistency in highly available distributed storage systems via sequential writes to the leader nodes. After a write has been committed by th…
Data Replication for Reducing Computing Time in Distributed Systems with Stragglers
Amir Behrouzi-Far, Emina Soljanin
In distributed computing systems with stragglers, various forms of redundancy can improve the average delay performance. We study the optimal replication of data in systems where t…
Scheduling in the Presence of Data Intensive Compute Jobs
Amir Behrouzi-Far, Emina Soljanin
We study the performance of non-adaptive scheduling policies in computing systems with multiple servers. Compute jobs are mostly regular, with modest service requirements. However,…
Cooperative Beamforming in Cognitive Radio Relay Networks Using Amplify-and-Forward Relaying Technique
Amir Behrouzi-Far, Saeideh Mohammadkhani
In this work, we study the problem of relay beamforming for an underlay cognitive radio relay network using amplify-and-forward (AF) relaying technique. We consider a cognitive rad…