If your institution is connected to AARNet, what speed should you expect from your network connection under ideal conditions?
This is how long it takes to transfer 1 Terabyte of data across various speed networks:
Actual speeds may vary for a range of infrastructure reasons. If you’re a researcher experiencing data transfer issues, the first step is to contact your campus support team who can then contact us.
As part of a larger Data Movement initiative we’re working with institutions and the R&E community to make data transfers as fast and frictionless as possible.
Science DMZ aims to accelerate the transfer of big datasets
We’re developing a Science DMZ offering for customers. Science DMZ is a network architecture, originally developed by ESnet in the USA, aimed at accelerating the transfer of big datasets into and out of campus networks. AARNet engineers are implementing a pair of “sandbox” Science DMZ deployments, simulating the connections deployed at Research Data Services Nodes so as to enable test and development work.
Performance measurement toolkit coming soon
A set of performance measurement appliances is also being developed and tested, based on the open-source “PerfSonar” software toolkit. This will provide institutions with the ability to identify and localise any performance issues relating to big data transfers.
Data movement stream at eRA2015
We convened a Data Movement stream for the eResearch Australasia 2015 Conference on 20 October, 2015, featuring a series of presentations by community champions who have “been there, done that”, taking attendees on a data movement journey of real-world use cases in delivering data to peak research capabilities. These contributors from a variety of disciplines have discovered the value in skills and tools that lead to the most efficient and effective way to handle data between collaborators, and have acknowledged that resources most useful for manipulating and storing such data could be anywhere on the planet.
Our goal with these activities is to raise the “bar of expectations” so that researchers both demand and expect more from their IT infrastructure in terms of its ability to gain access to and move very large quantities of data.
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