Public Release: 

GW School of Engineering and Applied Science receives grant to improve cloud computing reliability

State-of-the-art advances are expected to provide more choice for cloud consumers

George Washington University

WASHINGTON -- The National Science Foundation has awarded a nearly $408,000 grant to three faculty members at the George Washington University School of Engineering and Applied Science to develop technologies that will allow cloud computing providers to tailor the availability and reliability of cloud computing services to meet the needs of various consumers.

"The overall goal of the project is to 'bake' security into existing cloud services and business models. With technologies developed in this project, we hope cloud customers will be able to purchase, manage and optimize the security of their cloud applications with simple mouse clicks and in a pay-per-use fashion," said Tian Lan, assistant professor in the Department of Electrical and Computer Engineering and principal investigator for the grant.

Most providers offer cloud computing services on a "one-size-fits-all" model that provides the same levels of availability and reliability -- two major aspects of data security -- to all customers. However, the current levels may be inadequate for some customers who need greater availability or security and are willing to pay for it, or too expensive for customers who don't need and don't want to pay for the standard level of reliability and availability. And, as cloud computing becomes more pervasive, customer demand for flexible plans will increase.

By constructing realistic models and developing algorithms to optimize resource allocation and pricing, Dr. Lan, Professor Suresh Subramaniam, and Assistant Professor Howie Huang expect to advance cloud computing and provide more choice for customers.

"It's all about how the cloud provider can allocate its resources to satisfy the customers' needs," Dr. Huang said. "But, this is really a win-win situation for both cloud providers and cloud consumers. From the cloud providers' perspective, this becomes a service they can sell, and they can make more revenue from it. From the consumers' perspective, they have more choice."

The three faculty members joined forces on the project, combining their areas of expertise in networking, optimization, algorithm development and cloud systems and architecture. Their complementary theoretical and systems experience is providing a unique approach to the challenge of improving cloud computing availability and reliability.

"As far as we know, we're the only ones conducting this research to provide differentiated reliability to different customers," Dr. Subramaniam said. Once the team publishes its results, providers such as AT&T, Amazon, Google or others would be free to use the algorithm in their data centers.


GW School of Engineering and Applied Science

GW's School of Engineering and Applied Science prepares engineers and applied scientists to address society's technological challenges by offering outstanding undergraduate, graduate and professional educational programs, and by providing innovative, fundamental and applied research activities. The school has five academic departments, 11 research centers, 90 faculty and more than 2,500 undergraduate and graduate students. Core areas of academic excellence include biomedical engineering, cybersecurity, high performance computing, nanotechnologies, robotics and transportation safety engineering.

For more information about GW's School of Engineering and Applied Science, visit:


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.