Welcome to the Research Laboratory for Virtualized Infrastructure, Systems, and Applications (VISA) at Arizona State University (ASU).
Our team current works on a variety of exciting projects on cloud, HPC, and big data systems as well as operating systems and storage systems in general.
EuroSys’18: “RTVirt: Enabling Time-sensitive Computing on Virtualized Systems through Cross-layer CPU Scheduling”, EDGE’18: “Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?” …
VISA Lab is a place for fun and productivity! We are looking for talented students to join us! We have multiple PhD positions with full scholarships and paid undergraduate positions.
Arizona State University Associate Professor Ming Zhao leads the development of GEARS, a big data computing infrastructure designed for today’s demanding big data challenges.
Dr. Ming Zhao brings cloud computing service companies a step closer to providing reliable performance guarantees.
Ragini’s EDGE’18 paper, “Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?” studies distributed deep learning techniques that exploit the knowledge trained from a deep network in the cloud to improve the speed and accuracy of small networks on the devices.
Ragini Sharma successfully defended her master thesis on “A Study on Knowledge Transfer Techniques to Support Deep Learning on Edge Devices”. Her work studies the use of knowledge transfer techniques to support distributed deep learning that exploits the knowledge from deep networks trained in the cloud to improve the accuracy and speed of small networks[…]
RTVirt is a new solution for enabling time-sensitive applications (such as emergency planning and management applications) on virtualized systems (such as public and private cloud systems) through cross-layer scheduling. It allows the two levels of schedulers on a virtualized system to communicate key scheduling information and coordinate on the scheduling decisions. It enables optimal multiprocessor[…]
GEARS is an enerGy-Efficient big-datA Research System at Arizona State University, for studying heterogeneous and dynamic data by employing heterogeneous computing and storage resources and co-designing the software and hardware components of the system. GEARS is sponsored by National Science Foundation award CNS-1629888. Read more about it here.
The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC’18) is calling for papers, workshop proposals, and sponsors! HPDC is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. It will be hosted at ASU during the week[…]
VISA lab and its collaborators are awarded a grant to support the research on DataStorm – A Data Enabled System for End-to-End Disaster Planning and Response, by National Science Foundation