3 citations · 9 across the 12 of their papers we have counts for
8 papers · 1 filter
SMURF: Efficient and Scalable Metadata Access for Distributed Applications
Bing Zhang, Tevfik Kosar
In parallel with big data processing and analysis dominating the usage of distributed and cloud infrastructures, the demand for distributed metadata access and transfer has increas…
Energy-Efficient High-Throughput Data Transfers via Dynamic CPU Frequency and Core Scaling
Luigi Di Tacchio, Zulkar Nine, Tevfik Kosar +2
The energy footprint of global data movement has surpassed 100 terawatt hours, costing more than 20 billion US dollars to the world economy. Depending on the number of switches, ro…
A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers
Zulkar Nine, Tevfik Kosar
The amount of data moved over dedicated and non-dedicated network links increases much faster than the increase in the network capacity, but the current solutions fail to guarantee…
Data-Aware Approximate Workflow Scheduling
Dengpan Yin, Tevfik Kosar
Optimization of data placement in complex scientific workflows has become very crucial since the large amounts of data generated by these workflows significantly increases the turn…
OneDataShare: A Vision for Cloud-hosted Data Transfer Scheduling and Optimization as a Service
Asif Imran, Md S Q Zulkar Nine, Kemal Guner +1
Fast, reliable, and efficient data transmission across wide-area networks is a predominant bottleneck for data-intensive cloud applications. This paper introduces OneDataShare, whi…
A Heuristic Approach to Protocol Tuning for High Performance Data Transfers
Engin Arslan, Tevfik Kosar
Obtaining optimal data transfer performance is of utmost importance to today's data-intensive distributed applications and wide-area data replication services. Doing so necessitate…