activity
20172023
most citedEvaluating Load Balancing Performance in Distributed Storage with Redundancy

10 citations · 21 across the 6 of their papers we have counts for

collaborators

11 papers

cs.DC2023★ 1 cited

Controlling Data Access Load in Distributed Systems

Mehmet Aktas, Emina Soljanin

Distributed systems store data objects redundantly to balance the data access load over multiple nodes. Load balancing performance depends mainly on 1) the level of storage redunda…

cs.DC2023

Theory vs. Practice in Modeling Edge Storage Systems

Oleg Kolosov, Mehmet Fatih Aktas, Emina Soljanin +1

Edge systems promise to bring data and computing closer to the users of time-critical applications. Specifically, edge storage systems are emerging as a new system paradigm, where…

cs.IT2020

Service Rate Region: A New Aspect of Coded Distributed System Design

Mehmet Aktas, Gauri Joshi, Swanand Kadhe +2

Erasure coding has been recognized as a powerful method to mitigate delays due to slow or straggling nodes in distributed systems. This work shows that erasure coding of data objec…

cs.PF2019★ 10 cited

Evaluating Load Balancing Performance in Distributed Storage with Redundancy

Mehmet Fatih Aktas, Amir Behrouzi-Far, Emina Soljanin +1

To facilitate load balancing, distributed systems store data redundantly. We evaluate the load balancing performance of storage schemes in which each object is stored at differ…

cs.PF2019

Anonymity Mixes as (Partial) Assembly Queues: Modeling and Analysis

Mehmet Fatih Aktas, Emina Soljanin

Anonymity platforms route the traffic over a network of special routers that are known as mixes and implement various traffic disruption techniques to hide the communicating users'…

cs.PF2019★ 3 cited

Optimizing Redundancy Levels in Master-Worker Compute Clusters for Straggler Mitigation

Mehmet Fatih Aktas, Emina Soljanin

Runtime variability in computing systems causes some tasks to straggle and take much longer than expected to complete. These straggler tasks are known to significantly slowdown dis…

cs.PF2019

Straggler Mitigation at Scale

Mehmet Fatih Aktas, Emina Soljanin

Runtime performance variability at the servers has been a major issue, hindering the predictable and scalable performance in modern distributed systems. Executing requests or jobs…

cs.IT2018

Simplex Queues for Hot-Data Download

Mehmet Fatih Aktas, Elie Najm, Emina Soljanin

In cloud storage systems, hot data is usually replicated over multiple nodes in order to accommodate simultaneous access by multiple users as well as increase the fault tolerance o…

cs.IT2017

On the Service Capacity Region of Accessing Erasure Coded Content

Mehmet Aktas, Sarah E. Anderson, Ann Johnston +5

Cloud storage systems generally add redundancy in storing content files such that files are replicated or erasure coded and stored on nodes. In addition to providing re…

cs.PF2017★ 7 cited

Effective Straggler Mitigation: Which Clones Should Attack and When?

Mehmet Fatih Aktas, Pei Peng, Emina Soljanin

Redundancy for straggler mitigation, originally in data download and more recently in distributed computing context, has been shown to be effective both in theory and practice. Ana…

cs.PF2017

Straggler Mitigation by Delayed Relaunch of Tasks

Mehmet Fatih Aktas, Pei Peng, Emina Soljanin

Redundancy for straggler mitigation, originally in data download and more recently in distributed computing context, has been shown to be effective both in theory and practice. Ana…