Subtitle
About Us
The fourth industrial revolution will be marked by the fusion of digital, physical, and biological worlds, ranging from wearables for health monitoring, AR/VR based virtual classrooms, remote surgery over 5G cellular networks, massive sensing for mission-critical applications with IoTs, and the use of custom deep learning models across a wide range of applications.
Mission
This fusion will be enabled by technologies such as AR/VR, IoTs, 5G, and robotics and AI, all of which require a highly available distributed cloud infrastructure for delivering ultra-low latency and high bandwidth to users.
Vision
The goal of our lab is to realize this vision to help Pakistan gain a competitive edge in the world. To this end, we will design and develop a massively distributed cloud infrastructure comprising tens of thousands of mini-datacentres, possibly located at cellular base stations and or POPs.
We posit that such a cloud infrastructure, available in the form of a ‘pay-as-you-go’ model, will offer a unique opportunity for Pakistan to build the next-generation of products and start-ups.
We will focus on four key application areas that will be directly enabled by having an edge computing based cloud model.
Dr. Ihsan Ayyub Qazi (PI)
Associate Professor and Chair
Department of Computer Science, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences (LUMS)
Dr. Ihsan Ayyub Qazi (PI, Associate Professor and Chair of Computer Science) is a leading expert on cloud computing and datacenter networking and has actively collaborated with researchers at Microsoft Research, UC Berkeley, and BBN Technologies. Rutgers University.
Dr. Ihsan Ayyub Qazi is a leading expert on cloud computing and
datacenter networking and has actively collaborated with researchers at
Microsoft Research, UC Berkeley, Tuft University and BBN Technologies. His work
on PASE, a low-latency scheduling framework for cloud datacenters, is widely
regarded as the state-of-the-art. He has research grants as PI/Co-PI
from World Bank, Ignite, and HEC totaling > PKR 50 million. He has published
more than 35 scientific papers, while abroad and indigenously from Pakistan,
several of them in top flight ACM/IEEE journals and conferences (SIGCOMM, IMC,
CoNEXT, HotNets, SIGMETRICS, NSDI, IEEE/ACM Transactions on Networking, SIGCOMM
CCR), with a citation count > 345 and h-index = 7. He has over 12 years of
experience in USA, Australia, and Pakistan as a researcher and technical lead
both in industrial and academic settings.
obile Web Browsing Under Memory Pressure (NEW*)
Ihsan Ayyub Qazi, Zafar Ayyub Qazi, T. Benson, Ehsan Latif, Abdul Manan, G. Murtaza, Abrar Tariq
ACM SIGCOMM Computer Communication Review (CCR), October 2020
RecFlow: SDN-based Receiver-driven Flow Scheduling in Datacenters
Aadil Zia Khan and Ihsan Ayyub Qazi
Cluster Computing, 2019