University researchers succeed in boosting computer speeds by 2.5 times
Computer servers are now able to retrieve data much faster, due to the successful research and experiments of computer scientists at the University of Waterloo.
The scientists have found a novel approach that significantly improves the storage efficiency and output speed of computer systems, according to a statement.
Current data storage systems use only one storage server to process information, making them slow to retrieve information to display for the user. A backup server only becomes active if the main storage server fails.
The new approach, called FLAIR, optimises data storage systems by using all the servers within a given network. Therefore, when a user makes a data request, if the main server is full, another server automatically activates to fill it, the scientists state.
“The key enabler for FLAIR is the recent introduction of programmable networks,” says Samer Al-Kiswany, a professor in Waterloos David R. Cheriton School of Computer Science and co-author of the study introducing the FLAIR technique.
He says, “Since the invention of computers, networks that connect storage servers in any system were rigid and inflexible. FLAIR leverages a new cutting-edge networking technology to build a smart network layer that can find the fastest way to fulfil information retrieval requests.
“Our evaluation shows that this approach can fulfil requests up to 2.5 times faster, compared to classical designs.
In developing the new protocol, the researchers first had to prove its correctness and formally verify it to ensure the approach will not return bad results.
They were able to test FLAIR with real workloads on campus, as Waterloo is one of the few universities that have a cluster with the new programmable network, according to the statement.
Al-Kiswany and his team found that FLAIR increased retrieval speeds by anywhere from 35 to 97%.
“This will lead to a whole range of applications as this type of system is the core building block of a wide range of applications,” says Ibrahim Kettaneh, the graduate student leading the FLAIR development.
Kettaneh says, “FLAIR can significantly improve the performance of databases and data processing engines, which are the backends for health systems, banking systems and financial transactions. It will also be applicable to any modern computer application hosted on the cloud, such as online documents, social networks and emails.
The study, FLAIR: Accelerating Reads with Consistency-Aware Network Routing, authored by Waterloos Faculty of Mathematics Al-Kiswany and his graduate students; Kettaneh, Ahmed Alquraan and Hatem Takruri, will be presented at the USENIX Symposium on Networked Systems Design Implementation to be held in Santa Clara, USA from February 25-27.