News Release

UTA computer science team uses NSF grant to improve computing speed at data centers

More efficient data center computing

Grant and Award Announcement

University of Texas at Arlington

Hong Jiang

image: Hong Jiang view more 

Credit: UT Arlington

A University of Texas at Arlington computer science team is using a $600,000 National Science Foundation grant to develop algorithms for microservice-based data center services that allow for quicker, more efficient use of data center computing resources.

In addition, the grant will boost curriculum while supporting several doctoral students working on the project and providing research experiences for undergraduate and underrepresented students.

Hong Jiang, chair and Wendell H. Nedderman Endowed Professor of the UTA Computer Science and Engineering Department, is leading the project titled, “SHF: Small: A Distributed Scalable End-to-End Tail Latency SLO Guaranteed Resource Management Framework for Microservices.” Microservices is a type of computer software construction that Jiang compared to building something with Legos.

“Each individual microservice can be viewed as a Lego part, and one can enable a specific computing service by simply putting together a set of Lego parts or microservices, rather than having to build the service from scratch,” Jiang said. “When you go to scale a computing service built with microservices, you can just go to the microservices that pose bottlenecks and scale them without scaling other parts of the service. However, as different computing services may share microservices, how to provide performance guarantee for individual computing services becomes a critical challenge.”

An additional challenge Jiang is trying to address is how to utilize the microservice resources efficiently.

“The ability to scale the services at the microservice level gives you the best performance and response time, but you often are not utilizing the entire power of the system,” Jiang said. “It’s like having a car that has 600 horsepower but only utilizing 300 horsepower from the engine. It’s costly and not needed.”

Zhijun Wang, a computer science research associate, and Hao Che, a computer science professor, are members of the research team. Wang said that the solution the team has proposed should address those challenges.

“The microservices already are there,” Wang said. “What we’re trying to do is to provide performance guarantee for individual computing services while maximizing the resource utilization.”

Che said such maximization is a tremendous economic benefit to businesses.

“For every additional 100 milliseconds that a customer is waiting on a business’ website, the chance that the customer could leave increases by a few percent,” Che said. “It’s imperative that the questions of customers browsing your website are answered quickly and accurately. It means real monetary loss if they travel somewhere else.”



Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.